Supervised Research in Biotechnology

Students enrolled in the MA in Biotechnology Program have the opportunity to receive academic credit while conducting Supervised Research under the guidance of a faculty mentor within the University (S5502) or a biotech business-specific Supervised Internship outside the University (S5503) within the New York City Metropolitan Area unless otherwise approved by the Program. Credits received from this course are used to fulfill the Practical Training requirement for the MA degree.

• Department: Summer Session (SUMM)
• 3-6 points

Supervised Research in Biotechnology

Students enrolled in the MA in Biotechnology Program have the opportunity to receive academic credit while conducting Supervised Research under the guidance of a faculty mentor within the University (S5502) or a biotech business-specific Supervised Internship outside the University (S5503) within the New York City Metropolitan Area unless otherwise approved by the Program. Credits received from this course are used to fulfill the Practical Training requirement for the MA degree.

• Department: Summer Session (SUMM)
• 3-6 points

COMPANY FAILURES

Examination of areas critical to an organization’s success from strategic, operational, financial, and insurance perspectives, and examines why many companies fail in spite of the vast knowledge of factors driving success. Several case studies examined in depth.

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Rajat Baijal
  Info
• Instructor: Steve Lindo
  Info
• 3 points

MAFN FIELDWORK

Prerequisites: all 6 MAFN core courses, at least 6 credits of approved electives, and the instructors permission. See the MAFN website for details. This course provides an opportunity for MAFN students to engage in off-campus internships for academic credit that counts towards the degree. Graded by letter grade. Students need to secure an internship and get it approved by the instructor.

• Department: Summer Session (SUMM)
• 1-3 points

MATHEMATICS FOR AI

This course equips students with essential mathematical foundations for understanding and working with artificial intelligence (AI) algorithms. After a brief introduction to the historical and social context that numbers arise in, students will learn about:
- Linear Algebra: Matrices, matrix-vector multiplication, linear models, change of basis, dimensionality, spectral decomposition, and principal component analysis (PCA).
- Calculus: Rates of change, derivatives, optimization techniques like gradient descent, with a brief touch upon linear approximation.
- Probability and Statistics: Mathematically deriving complex probability distributions out of simpler ones, mathematically deriving statistical testing methods
- Graph Theory: How graphs are used to find relationships between data as well as being a setting for AI-driven problem solving.
- Problem Solving and Algorithms: Applying mathematical concepts to find problem solutions.
Students will learn about search methods like uninformed search, informed search with the A* algorithm, and greedy algorithms.
- Computational Theory and Automata: Answering questions about what is computable, what is needed in order to compute something, and using this framework to state how much “information” is contained in a mathematical object.
By the end of this course, students will possess a strong mathematical toolkit to confidently tackle the complexities of modern AI algorithms.

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: Robert Simione
  Info
• 3 points

RACE AND BIOETHICS

• Department: Bioethics
• TR 8 p.m.-10 p.m.
• Instructor: Harriet A Washington
  Wikipedia Info
• 3 points

RISK REGULATIONS IN FINANCE

This course examines post-financial crisis regulations including Basel III, Fundamental Review of the Trading Book (FRTB), Dodd-Frank Act, Supervision and Regulation Letter 11-7 (SR 11-7), and others.  Case studies will explore the technical details of these new rules; and guest lectures from industry experts will bring the material to life.  Areas of focus include: model risk management, stress testing, derivatives, and insurance.  By the end of this course students will be able to:


Evaluate the purpose and limitations of risk regulations in finance.

Identify and communicate weaknesses in a financial firm.

Communicate with regulators.

Understand Recovery and Resolution Plans or “Living Wills” for a financial firm.

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• Instructor: Lisa Broomer
  Info
• 3 points

ESG AND ERM

ESG will be a driving force in risk management in upcoming years. ERM / Risk professionals need a solid understanding of emerging ESG trends and regulations and how they apply to day-to-day job responsibilities. The ESG and ERM course begins with an overview of the ESG landscape and framework. After a foundational understanding is established, the course focuses on incorporating ESG into enterprise risk management, including identification, quantification, decision making, and reporting of ESG-related risks.

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Harish Dakshina
  Info
• Instructor: Tahmina Day
  Info
• Instructor: Helda Rock
  Info
• 3 points

ANALYTICS FOR BUSINESS OPERATIONS MANAGE

Operations Management (OM) is responsible for the efficient production and delivery of goods and services, serving as a cornerstone of successful organizations. This course emphasizes how analytical techniques, such as forecasting, queuing theory, and linear programming, provide critical tools for optimizing operational decision-making, improving efficiency, and addressing real-world challenges in operations management. In this course, you will gain essential skills to optimize processes, manage resources, and enhance productivity across various industries. The course will be delivered through a combination of interactive lectures, case studies, and hands-on coding exercises to ensure a balance between conceptual learning and practical application.

Through lectures, you will gain a solid foundation in OM principles and analytical techniques. Case studies will help illustrate real-world applications of OM in industries such as manufacturing, healthcare, retail, and logistics, allowing you to see how the concepts are applied in diverse contexts. This course will integrate the principles of OM with hands-on analytical techniques using Python, allowing you to model and solve real-world OM problems. You will learn to run simulations, perform optimizations, and analyze data to make data-driven decisions that enhance efficiency and overall performance.

OM practices are tailored to meet the specific needs of various sectors. In manufacturing, OM helps streamline production lines and minimize waste; in healthcare, it enhances patient flow and optimizes resource allocation; in retail, it improves inventory management and supply chain operations; and in logistics, it ensures timely deliveries while reducing transportation costs. This course will equip you with the skills to apply OM practices effectively in different industries.

Analytics for Business Operations Management is an elective that is intended for students who are interested in pursuing a career using analytics and operational insights to drive organizational success in a competitive global marketplace across various industries.

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• Instructor: Andy W Chen
  Info
• 3 points

MANAGING STAKEHOLDER RISK IN THE ORGANIZ

In this course, students study major concepts of management and organization theory to understand human behavior in an organizational context, and then learn how to apply this to better manage interactions with key ERM stakeholders. Students will learn how to accomplish key ERM activities effectively while preserving and enhancing key internal relationships.

The course provides a deep dive into how enterprise risk functions operate within organizations, blending theoretical frameworks with practical, real-world applications. Topics include individual and organizational psychology, risk culture, organizational structure and governance, and the dynamics of managing risk in complex institutions. Through case studies and class discussions, students explore the behavioral and structural dimensions that shape ERM practices.


This elective is open only to students within the ERM program. This course (MSRO) is analogous to Managing Human Behavior in the Organization (MHBO), but customized for an ERM role. As a result, ERM students may not register for MHBO and those that have already taken MHBO may not register for MSRO.

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Kristen Walters
  Info
• Instructor: Ann Breslawski
  Info
• 3 points

FINANCIAL SEC ANALYSIS AND PORTFOLIO MGT

FIN SEC ANALYSIS AND PORT

Financial securities analysis and portfolio management is the study of analyzing information to evaluate financial securities and design investment strategies. Studying the subject can provide a foundation for students entering the fields of investment analysis or portfolio management. This course provides an intensive introduction to major topics in investments. Part I of the course lays the theoretical foundation by introducing the Portfolio Theory and Equilibrium Asset Pricing models. Part II covers the valuation models and analysis of major asset classes: equity, fixed-income, and derivatives. Topics include bond valuation and interest rate models, equity valuation and financial statement analysis, options valuation, other derivatives, and risk management. Part III of the course focuses on the practice of active portfolio management.

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Lei Yu
  Info
• 3 points

Internship in ACTU

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Actuarial Science
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in APAN

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Applied Analytics
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in CNAD

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Construction Administration
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in COMM

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Strategic Communication
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in ERM

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Enterprise Risk Management
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in HCM

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Human Capital Management
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in IKNS

The Internship with Industry course is an elective course taken by students in the M.S. in Actuarial Science. Applied Analytics, Bioethics,Construction Administration, Enterprise Risk Management, Human Capital Management, Information & Knowledge Strategy (IKNS), Political Analytics, Project Management, Sustainability Science, Sustainability Management, Strategic Communications, Technology Management, and/or Nonprofit Management.

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Information & Knowledge Strat
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in NECR

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Negotiation & Conflict Resolution
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in NMED

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Narrative Medicine
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in NOPM

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Non Profit Management
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in POAN

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection. 

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Political Analytics
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in SUMA

The Internship with Industry course is an elective course taken by students in the M.S. in Actuarial Science. Applied Analytics, Bioethics,Construction Administration, Enterprise Risk Management, Human Capital Management, Political Analytics, Project Management, Sustainability Science, Sustainability Management, Strategic Communications, Technology Management, and/or Nonprofit Management.

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Sustainability Management
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in SUSC

The Internship with Industry course is an elective course taken by students in the M.S. in Actuarial Science. Applied Analytics, Bioethics,Construction Administration, Enterprise Risk Management, Human Capital Management, Political Analytics, Project Management, Sustainability Science, Sustainability Management, Strategic Communications, Technology Management, and/or Nonprofit Management.

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Sustainability Science
• Instructor: Mariela Torres
  Info
• 1.5 points

Internship in TMGT

The Internship with Industry course is an elective course taken by students in the M.S. in Actuarial Science. Applied Analytics, Bioethics,Construction Administration, Enterprise Risk Management, Human Capital Management, Political Analytics, Project Management, Sustainability Science, Sustainability Management, Strategic Communications, Technology Management, and/or Nonprofit Management.

Internship with Industry (1.5 credits, asynchronous online, elective) supports graduate students as they complete a supervised internship aligned with their academic program and career goals. Through targeted readings, short video lectures, structured reflection, and peer interaction, students connect internship experiences to career frameworks and workplace competencies. Course modules emphasize goal setting (SMART goals), self-awareness and communication (DiSC), career design and prototyping (Designing Your Life; Life Grid and Energy Mapping), persistence and performance (GRIT), and navigating change (VUCA, including reflection on emerging technologies such as AI). Students produce artifacts that document progress, analyze workplace context, and translate learning into career direction through a final synthesis reflection.

The course requires a minimum of 105 internship hours and completion of a supervisor evaluation through the Experiential Learning Module.

• Department: Technology Management
• Instructor: Mariela Torres
  Info
• 1.5 points

APPLIED GENERATIVE AI

This course offers a comprehensive introduction to a branch of machine learning called generative modeling, focusing on the underlying concepts, theoretical techniques, and practical applications. The defining property of Generative AI models is their ability to generate new data similar to a given dataset. In recent years, Generative AI has seen rapid advancement, revolutionizing various industries by enabling machines to create realistic and novel content, ranging from images, videos, and music to text and complex simulations.

Students will learn to use, fine-tune, and programmatically interface with high-level APIs and open-source foundational models, allowing them to leverage state-of-the-art tools in Generative AI. Additionally, the course delves into the theory and practice of low-level implementations, empowering students to train their own models on their own data and understand these models from first principles. The course covers various types of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers with their applications to text, image, audio, and video generation.

By combining these approaches, this course provides a robust foundation in both the practical application and deep theoretical knowledge required to develop innovative AI solutions.

• Department: Applied Analytics
• W 6:10 p.m.-8 p.m.
• Instructor: Gurgen Hayrapetyan
  Info
• 3 points

ARTIFICIAL INTELLIGENCE OF THINGS

AI OF THINGS

Over the past decade, the Internet of Things (IoT) has transformed industries by enabling real-time data collection, analysis, and automated control through interconnected devices. Advancements in networking, cloud computing, and robotics have expedited IoT adoption, impacting a wide range of fields from home safety and industrial automation to healthcare and autonomous driving. Additionally, the rise of artificial intelligence (AI) led to the emergence of the Artificial Intelligence of Things (AIoT), which combines IoT connectivity with AI-driven decision-making to enhance smart systems.

This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies.

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Javid B Huseynov
  Info
• 3 points

INFORMATION TECHNOLOGY RISK MANAGEMENT

IT RISK MANAGEMENT

Students will learn how to better identify and manage a wide range of IT risks as well as better inform IT investment decisions that support the business strategy. Students will develop an instinct for where to look for technological risks, and how IT risks may be contributing factors toward key business risks. This course includes a review of IT risks, including those related to governance, general controls, compliance, cybersecurity, data privacy, and project management. Students will learn how to use a risk-based approach to identify and mitigate cybersecurity and privacy related risks and vulnerabilities. No prior experience or technical skills required to successfully complete this course.

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Shahryar Shaghaghi
  Info
• Instructor: Adam Ely
  Info
• 3 points

THIRD-PARTY RISK MANAGEMENT

As organizations increasingly rely on external vendors and service providers, managing third-party risks becomes paramount to ensure operational resilience, regulatory compliance, and strategic success. Challenges include:


The evolving nature of technology risks.

The impact of geopolitical tensions.

The lessons learned from disruptive events like pandemics.


By offering a comprehensive curriculum covering everything from the basics of vendor management to advanced predictive TPRM models and emphasizing regulatory requirements specific to the financial services sector, the course equips professionals with the knowledge and tools needed to navigate the intricate web of third-party relationships. 
Students taking this course are prohibited from taking Supply Chain Risk Management for Non-Financials (ERMC PS5585) at any time. Contact your advisor for more information.

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: Rod Aday
  Info
• 3 points

ANALYTICS FOR CYBERSECURITY MANAGEMENT

ANALYTICS FR CYBERSECURIT

This course is designed to immerse students in the intersection of cybersecurity and data analytics. The course explores how modern data-driven approaches are revolutionizing the way organizations detect and manage cyber threats. Students will engage deeply with core cybersecurity concepts, such as network security, vulnerability management, and threat intelligence, while also learning to leverage cutting-edge data analytics and artificial intelligence to solve real-world security problems. Through hands-on exercises, coding assignments, and case studies, students will gain practical skills in analyzing logs and telemetries, building detection systems, and applying machine learning to security operations.

• Department: Applied Analytics
• M 8:10 p.m.-10 p.m.
• Instructor: Muhammed Bulut
  Info
• 3 points

SUPPLY CHAIN RISK MANAGEMENT FOR NON-FIN

SUPPLY CHAIN RM FOR NON-F

The Pandemic made us all aware of the fragility of supply chains and how significant the consequences of failure of our supply chains can be. It is paramount to note that global and local economies can break down, and scarcity of essential resources can foment wars. Risk professionals must know what best practices bring security to supply chains and related companies, governments, and other institutions. 
Students taking this course are prohibited from taking Third-Party Risk Management (ERMC PS5575) at any time. Contact your advisor for more information.

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Sunil Tandon
  Info
• Instructor: Bryce Wolf
  Info
• 3 points

COGNITIVE BIAS & ERM

Explores key concepts of behavioral economics and cognitive psychology, how to identify key cognitive biases in ERM activities, and how to apply techniques to address these, enhancing the quality and integrity of an ERM program. The course also includes best practices in leveraging analytic models to improve decision making.

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Narae Lee
  Info
• Instructor: Rich Lauria
  Info
• 3 points

STRATEGY AND ANALYTICS

n/a

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Ranjit Kumble
  Info
• 3 points

STRATEGY AND ANALYTICS

STRATEGY AND ANALYTICS ONLINE

n/a

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: David Kreutter
  Info
• 3 points

CAPSTONE

The Capstone Project is an opportunity for students to synthesize and apply learnings from throughout the Strategic Communication program. Under the guidance of expert advisers, you’ll investigate a real-world communication issue, devising solutions and strategies that bridge the gap between theory and practice.

• Department: Strategic Communication
• S 12:10 p.m.-3 p.m.
• R 6:10 p.m.-9 p.m.
• Instructor: Gabriel Amor
  Info
• Instructor: Elyse Hoelzer
  Info
• 3 points

Retirement Planning

Retirement Planning offers a comprehensive foundation in the principles, practices, and policies that shape retirement readiness. The course examines the major types of retirement plans, their structures, and the regulatory and taxation considerations that influence them. Students will develop the ability to conduct retirement needs analyses, evaluate key assumptions, and align plans with client goals. In addition, the course engages students in a comparative study of Social Security, Medicare, and Medicaid, highlighting their roles, limitations, and intersections with private retirement strategies. Through case analyses and applied exercises, students will learn to distinguish among plan options, weigh trade-offs, and make informed recommendations, culminating in a problem-based learning project.

• Department: Wealth Management
• Instructor: Craig T Lyman
  Info
• 3 points

CAREER ACCELERATION

This highly experiential course helps students design, launch, and sustain a successful career. Blending scholarly foundations with practical tools and hands-on coaching, this course guides students through identifying their personal strengths and professional identity, developing a compelling personal pitch, and building the skills needed to navigate interviewing, networking, teamwork, organizational culture and change. Each session integrates theory, applied practice, and structured role-play with peer feedback, enabling students to move beyond a job search mentality toward a proactive, values-aligned approach to career development and long-term professional success.

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• 1.5 points

GLOBAL FINANCIAL SERVICES IN THE 21ST CE

GLOBAL FIN SERV IN THE 21

This course offers students a strategic and applied framework for understanding the global financial services industry, spanning commercial and investment banking, asset and wealth management, central banking, and financial regulation. 

Students will examine the sector’s evolution, current challenges, and future direction. Topics include risk management, regulatory change, global competitive positioning, and the strategic dilemmas facing today's financial CEOs. 

The course emphasizes leadership and critical thinking over technical specialization, and culminates in a team-based final project. The course is intended for students preparing for leadership roles in global finance..

Delivered in person during Summer Session A,  this 1.5-credit elective course is open to graduate students across the School of Professional Studies and other Columbia University programs. There are no specific competencies, prerequisite knowledge, or prior coursework in the discipline required to enroll.

• Department: Enterprise Risk Management
• M 2:10 p.m.-4 p.m.
• Instructor: Richard Goldberg
  Info
• 1.5 points

BANKING AND TECHNOLOGY: FINANCIAL SERVIC

BANK & TECH: FIN SERV DIG

This course offers students a strategic and applied framework for understanding the transformative impact of financial technology (FinTech) on the global banking and financial services industry. Through case studies, industry analysis, and collaborative projects, students will explore how traditional banks, fintech unicorns, and big tech firms are reshaping the competitive landscape.

The course traces the evolution of fintech across the payment network, while examining the rise of disruptive technologies such as artificial intelligence, open banking, and digital currencies, including CBDCs, and cryptocurrencies. Students will also analyze the regulatory and governance challenges emerging from rapid innovation in financial services.

Emphasizing strategic thinking, leadership, and applied analysis over technical specialization, the course culminates in a team-based final project. It is designed for students aspiring to leadership roles in the evolving global digital financial ecosystem.

Delivered on-line during Summer Session B, this 1.5-credit elective course is open to graduate students across the School of Professional Studies and other Columbia University programs. There are no specific competencies, prerequisite knowledge, or prior coursework in the discipline required to enroll.

• Department: Enterprise Risk Management
• T 2:10 p.m.-4 p.m.
• Instructor: Richard Goldberg
  Info
• 1.5 points

SOLAR PROJECT DEVELOPMENT

TBA

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Daniel J Giuffrida
  Info
• 3 points

ANALYTICS & LEADING CHANGE

ANALYTICS & LEADNG CHNG ONLINE

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Zachary Kornhauser
  Info
• 3 points

INTRO TO GLOBAL FIELDWORK

This course serves as the introduction and prerequisite for PS5705.001 Global Fieldwork in Communication. Students learn foundational frameworks for cross-cultural communication and collaboration in a global context, preparing them for success during their study abroad experience. Students must attend all three intro sessions to be eligible for the Global Fieldwork course.

• Department: Strategic Communication
• F 12:10 p.m.-2 p.m.
• Instructor: Kristine Billmyer
  Info
• 0 points

DATA, TECHNOLOGY AND AI IN INSURANCE

DATA, TECH & AI IN INSURA

Data AI and Technology in Insurance

• Department: Insurance Management
• Instructor: Alejandro Zarate Santovena
  Info
• 3 points

INTERCOLLEGIATE ATHLETICS ADMIN

• Department: Sports Management
• MTWRF 9 a.m.-5 p.m.
• Instructor: Adam Neuman
  Info
• 3 points

EMERGING RISK & INSURANCE TOPICS

EMERGING RSK & INSURNCE T

Review current trendds in risk management and insurance.

• Department: Insurance Management
• Instructor: Teresa W Chan
  Info
• 3 points

PUBLIC RELATIONS AND CORPORATE COMMUNICA

PR & CORPORATE COMMUNICATION

This elective is designed for students looking to launch careers in public relations and corporate communications across organizations, from corporate, non-profit, start-up and/or governmental institutions. Course content will provide students with a broad overview of the PR and corporate communications function and foundational communication theory, along with hands-on, tactical training in modern public relations practice. Topics covered include strategic messaging and storytelling, working with the press to generate media coverage, leveraging social media and managing reputations online, crisis communication, public relations ethics and media law, engaging internal and external audiences, and evaluating corporate communications efforts.

• Department: Strategic Communication
• M 8:10 p.m.-10 p.m.
• Instructor: Michael Kaye
  Info
• 3 points

Interpersonal Dynamics: Collaboration, F

Interpersonal Dynamics: Collaboration, Facilitation and Reflective Practice

develops students’ capacity to act as reflective practitioners of

collaborative conflict resolution. Building on theories presented in

Introduction to Negotiation, the course provides students with many

opportunities to understand the interpersonal dynamics of conflict and to

practice the skills of negotiation, mediation, and facilitation.
 

To intervene as skilled practitioners, conflict-resolution professionals

need to understand how their worldview shapes the lens through which they

view and respond to conflict. Likewise, they need to grasp their

counterpart’s worldview and understand how the dynamics of these differing

narratives influence both sides’ perception, emotions, and responses. As a

result of their reflective practice, students can learn to make more

strategic choices as negotiators, mediators, and facilitators.
 

Students bring their own unique experiences, insights, and communicative

strengths to the learning process. This course seeks to build on these

contributions, providing (1) tools for deepening self-awareness as a means

of advancing connection to others, (2) opportunities for strengthening

their face-to-face communication skills as negotiators and as mediators,

and (3) techniques for developing their skills as third-party facilitators.

• Department: Negotiation & Conflict Resolution
• TWRF 9 a.m.-5 p.m.
• Instructor: Robert Anderson
  h-index: 77 Info
• 3 points

ERM CAPSTONE

Teams will work through a case assignment, demonstrating mastery of key learnings gained throughout the program on an integrated basis. A simulated case study is used: this is a combination of publicly-available information of an actual company and simulated ERM program details, based on a blend of current ERM programs and practices in the marketplace. Each team will assess the case study and recommend enhancements.

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Richard R. Ranade
  Info
• Instructor: Yi Zuo
  Info
• Instructor: Xue Bai
  Info
• Instructor: Jiajing Wang
  Info
• 3 points

DATA SCIENCE CONSULTING

• Department: Applied Analytics
• R 8:10 p.m.-10 p.m.
• Instructor: David Shilane
  Info
• 3 points

APPLIED DEEP LEARNING AND AI

Deep Learning has become a cornerstone of Artificial Intelligence (AI), with applications in finance, healthcare, sports, autonomous vehicles, chatbots, national security, and artistic creations using elements of Natural Language Processing, Computer Vision, and Speech Recognition. Students will gain a solid foundation in Deep learning and its applications, starting with a compressed review of some Statistical Learning models followed by much deeper dive into Deep Neural Networks. Topics covered include Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures and Generative Adversarial Networks (GAN). Students will also learn training of agents to make optimal decisions in complex environments using Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate these models.

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: Adrian Heilbut
  h-index: 13 Info
• 3 points

SUPERVISED INTERSHIP IN SPORTS MANAGEMEN

• Department: Sports Management
• Instructor: Jennifer Dick
  Info
• 3 points

SPECIAL TOPICS - People Analytics: AI, S

PplAnalytics-AI,Strat,Wor

OVERVIEW: 
In this course, students will explore how people analytics and artificial intelligence (AI) can be leveraged to align HR and talent strategy with organizational performance and long-term workforce transformation. As AI and other advanced analytics become embedded in core workforce systems, students will examine how data-driven decision-making operates across hiring, performance management, learning, job design, and organizational culture. The course integrates strategy, organizational behavior, and data science to help students understand how analytics can drive measurable impact while strengthening trust, fairness, and human-centered leadership in the digital workplace. Students will develop a critical perspective on the use of AI-enabled systems in workforce management and will learn how to assess whether analytics practices promote responsible governance, ethical integrity, and sustainable competitive advantage in an evolving regulatory and global landscape.

 

CONTENT & GOALS: 
Through case-based discussion, experiential exercises, team-based projects, and guest lectures from senior leaders at Fortune 500 companies and innovative startups, students will develop the analytical and strategic skills required to design and evaluate people analytics initiatives. Topics include workforce data fundamentals; AI-enabled hiring and talent development; performance analytics; digital feedback systems; learning, reskilling, and workforce augmentation; AI–human systems interaction; organizational culture; and the intersection of ethics, regulation, governance, global norms, data privacy and other regulatory regimes that govern data collection & use across jurisdictions (including frameworks such as the EU AI Act, GDPR, among others), cybersecurity, fairness, and responsible technology use. Students will gain practical exposure to predictive modeling concepts, bias assessment frameworks, network analysis, and diagnostic visualization techniques, while focusing on translating insights into strategic action.

 

LOGISTICS: 
This course is an elective in the MS Information & Knowledge Strategy (IKNS) program and open to all graduate students. It is particularly relevant to students interested in strategy, leadership, and the future of work. The course meets online once per week. No prerequisites or background in advanced statistics are required.

• Department: Information & Knowledge Strat
• R 6:10 p.m.-8 p.m.
• Instructor: Paola Cecchi Dimeglio
  Info
• 3 points

Human-Centered Design for Data-Driven St

HumCenDesignForDDStrat+De

Within this course, students will explore how practices from human-centered design (HCD) can be applied to the end-to-end data science workflow—problem (use case) definition, data collection & preparation, data exploration, data modeling, and communicating and visualizing the results— in order to build trust in data that is used to drive strategy and decision making and impact organizational change. Students will learn about fundamental human values and how methods from the behavioral sciences and HCD can inspire ethical use of data to drive strategy and change in the modern, data-driven workplace. Students will understand how keeping “humans in the loop” is beneficial, and they will develop a critical eye for assessing whether the data they rely on to make decisions at work is human-centric, particularly as we become more reliant on data science and artificial intelligence (AI) technologies to inform our insights, strategies, and decision making at work.

Content & Goals: Through hands-on, project-based work, students will work individually and in project teams to practice designing human-centric information and communication experiences, leveraging audience-focused data visualizations and storytelling techniques to drive a strategic workplace objective, motivating leaders and employees into action to create traceable organizational impact that benefits people. Students will have an opportunity to practice their writing and presentation skills through practical course assignments.

Logistics: This graduate-level elective course is designed for students in Information & Knowledge Strategy but is open to other students at Columbia University. This course would be relevant to students studying management and technology more broadly. The course will be delivered in person on Columbia’s campus during the spring semester.

No prerequisites.

• Department: Information & Knowledge Strat
• W 6:10 p.m.-8 p.m.
• Instructor: Blake Dicosola
  Info
• 3 points

SUPERVISED PROJECT IN SPORTS MANAGEMENT

SUPERVISED PROJ IN SPORTS

Projects are research intensive and vary according to partners and specialty.

 

Advanced standing in the Sports Management program, with at least 12 points/credits (4 courses) completed is required. A student may not exceed 6 points/credits (2 courses) of Supervised Projects, or take more than 3 points/credits (1 course) per semester.

• Department: Sports Management
• M 6:10 p.m.-8 p.m.
• Instructor: Esu Ma'at
  Info
• 3 points

MASTER THESIS WORKSHOP

TAKEN WITH BIET 5992 Master Thesis (2-credit). 

The Workshop meets six times over four months. These sessions will assist students in starting to focus more fully on a topic and approach. During the Thesis Workshop, students will first speak informally for five minutes about a possible topic, followed by a more formal five-minute presentation and a draft of a one-page outline or abstract, proceeding to a more finalized outline or abstract. At each of these stages, students will receive feedback from the course director as well as fellow students.

• Department: Bioethics
• F 11:30 a.m.-1:30 p.m.
• Instructor: Arthur Kuflik
  Info
• 1 points

MASTER THESIS (2 CREDIT)

Thesis requirement for Bioethics program. Taken with the Thesis Workshop (BIET K5991).

• Department: Bioethics
• Instructor: Arthur Kuflik
  Info
• 2 points

Internship In ACTU

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Actuarial Science
• Instructor: Paul Maniaci
  Info
• 3 points

Internship In APAN

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Applied Analytics
• Instructor: William Goodall
  Info
• 3 points

Internship In CNAD

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Construction Administration
• Instructor: Paul Maniaci
  Info
• 3 points

Internship In ERM

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Enterprise Risk Management
• Instructor: Hannah Salto
  Info
• 3 points

Internship In HCM

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Human Capital Management
• Instructor: Paul Maniaci
  Info
• 3 points

Internship In IKNS

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Information & Knowledge Strat
• Instructor: Paul Maniaci
  Info
• 3 points

Internship in NECR

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Negotiation & Conflict Resolution
• Instructor: Paul Maniaci
  Info
• 3 points

Internship in NMED

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Narrative Medicine
• Instructor: Paul Maniaci
  Info
• 3 points

Internship In NOPM

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Non Profit Management
• Instructor: Paul Maniaci
  Info
• 3 points

Internship In POAN

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Political Analytics
• Instructor: Paul Maniaci
  Info
• 3 points

Internship in SPRT

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Sports Management
• Instructor: Paul Maniaci
  Info
• 3 points

Internship In SUMA

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Sustainability Management
• Instructor: Victoria Passarella
  Info
• 3 points

Internship In SUSC

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Sustainability Science
• Instructor: Victoria Passarella
  Info
• 3 points

Internship In TMGT

This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.

 

To receive instructor approval, the internship:

● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level

● Must fit into the planned future program-related career path of the student

You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.

 

At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor

• Department: Technology Management
• Instructor: Paul Maniaci
  Info
• 3 points

INDEPENDENT STUDY

This course offers students an opportunity to expand their curriculum beyond the established course offerings. Interested parties must consult with the QMSS Program Director before adding the class. This course may be taken for 2-4 points.

• Department: Summer Session (SUMM)
• 1-4 points

INDEPENDENT STUDY

Independent Study is a one- or three-credit course that can count toward the curriculum area requirement in Integrative Sustainability Management, Economics and Quantitative Analysis, Physical Dimensions, Public Policy, General and Financial Management, or Elective, with the approval of the faculty advisor. A final deliverable relating to the Sustainability Management curriculum is required at the end of the semester, and will be evaluated for a letter grade by the faculty advisor and reported to the SUMA program office.

• Department: Sustainability Management
• Instructor: Maria L Gray
  Info
• 1-3 points

IKNS INDEPENDENT STUDY

Overview
: This 1 semester course (elective, IKNS students only, hybrid) provides an opportunity for a student to extend or supplement their educational experience via a deep-dive into an established or novel area of research of their choice (the topic), under the guidance & supervision of a faculty member (the supervisor). An independent study course allows a student to work one-on-one with a faculty member to gain & contribute new insight into the discipline of Knowledge Management.

Topic/objective
: The topic is chosen by the student as long as it falls within the general realm of Knowledge Management or its specific content areas in the IKNS curriculum, such as IT systems, knowledge organizing systems, data repositories, business data analytics including machine learning & AI, learning processes, collaboration, dialogue, team & project management, transformational leadership, change management, digital transformation, or digital product innovation. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity & to make a contribution to the wider discipline of Knowledge Management. In addition, students will deepen their understanding of the content they acquired in other courses, by applying this content to the specific topic chosen for the Independent Study.

Logistics
: Ahead of registration, the student meets with the supervisor to discuss & agree on (i) the topic & the relevant IKNS curriculum area(s); (ii) the timeline of deliverables, milestones, & contact hours for the semester; & (iii) the number of credits. The student summarizes these points in a ~1 pg
Independent Study Proposal
. The student can register for the course only once the supervisor & the Academic Director agree to & sign the
Independent Study Proposal
(which includes the topic, the IKNS curriculum area, the number of credits, & the assigned supervisor). The number of credits (1-3) will be commensurate with the scope of the Independent Study. The scope can range from a summary of existing sources (typically 1 credit. 5-10 pg report), to a synthesis or meta-analysis of existing & new sources, e.g., interviews withSMEs (typically 2 credits, 10-15 pg report), to a comprehensive study which adds the student’s own critical discussion & suggestions to the topic (typically 3 credits; 15-20 pg report).

• Department: Information & Knowledge Strat
• 1-3 points

IKNS INDEPENDENT STUDY

Overview
: This 1 semester course (elective, IKNS students only, hybrid) provides an opportunity for a student to extend or supplement their educational experience via a deep-dive into an established or novel area of research of their choice (the topic), under the guidance & supervision of a faculty member (the supervisor). An independent study course allows a student to work one-on-one with a faculty member to gain & contribute new insight into the discipline of Knowledge Management.

Topic/objective
: The topic is chosen by the student as long as it falls within the general realm of Knowledge Management or its specific content areas in the IKNS curriculum, such as IT systems, knowledge organizing systems, data repositories, business data analytics including machine learning & AI, learning processes, collaboration, dialogue, team & project management, transformational leadership, change management, digital transformation, or digital product innovation. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity & to make a contribution to the wider discipline of Knowledge Management. In addition, students will deepen their understanding of the content they acquired in other courses, by applying this content to the specific topic chosen for the Independent Study.

Logistics
: Ahead of registration, the student meets with the supervisor to discuss & agree on (i) the topic & the relevant IKNS curriculum area(s); (ii) the timeline of deliverables, milestones, & contact hours for the semester; & (iii) the number of credits. The student summarizes these points in a ~1 pg
Independent Study Proposal
. The student can register for the course only once the supervisor & the Academic Director agree to & sign the
Independent Study Proposal
(which includes the topic, the IKNS curriculum area, the number of credits, & the assigned supervisor). The number of credits (1-3) will be commensurate with the scope of the Independent Study. The scope can range from a summary of existing sources (typically 1 credit. 5-10 pg report), to a synthesis or meta-analysis of existing & new sources, e.g., interviews withSMEs (typically 2 credits, 10-15 pg report), to a comprehensive study which adds the student’s own critical discussion & suggestions to the topic (typically 3 credits; 15-20 pg report).

• Department: Information & Knowledge Strat
• 1-3 points

RESEARCH METHODS & APPLICATIONS

Quantitative Foundations

Successful public health studies, policies, and interventions rely on evidence to guide their design, development, implementation, and evaluation. Because public health is not a simple, reactive, “take the pill three times a day” solution, but a purposeful approach to preventing disease and promoting health, the tools of scientific inquiry to document, measure, evaluate, and understand all the consequences of health interventions are essential. Learning to identify, gather, and interpret evidence is therefore crucial for public health practitioners. The Research Methods & Applications studio provides an introduction to scientific inquiry and evidence and their relationships to public policy. Using an integrated approach spanning multiple disciplines, students will be provided with a basic introduction to quantitative and qualitative measurement and data collection, tenets of epidemiologic study design, statistical inference and data analysis techniques, and the tools of science. Views on the differences between scientific and other types of inquiry and knowledge, classical models of how science and evidence can inform policy and programs, and sources of tension at the science- policy interface will be explored and discussed. The methods introduced in this course will provide a toolkit with which to help measure and estimate the relationships between the smaller pieces that comprise the complex and dynamic web of systems in public health.

• Department: Public Health
• WR 8:10 p.m.-9:10 p.m.
• Instructor: Cheng-Shiun Leu
  h-index: 28 Info
• 0-4.5 points

OPERATIONS MANAGEMENT

• Department: Decision, Risk and Operations
• FMW 9 a.m.-10:30 a.m.
• FMW 10:50 a.m.-12:20 p.m.
• FMW 2:20 p.m.-3:50 p.m.
• FMW 4:10 p.m.-5:40 p.m.
• Instructor: Nicola Rosaia
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• 1.5 points

Introduction to Biostatistical Methods

INTRO-BIOSTATISTICAL METH

Like many fields of learning, biostatistics has its own vocabulary often seen in medical and public health literature. Phrases like statistical significance", "p-value less than 0.05", "95% confident", and "margin of error" can have enormous impact in a world that relies on statistics to make decisions: Should Drug A be recommended over Drug B? Should a national policy on X be implemented? Does Vitamin C truly prevent colds? However, do we really know what these terms and phrases mean? Understanding the theory and methodology behind study design, estimation and hypothesis testing is crucial to ensuring that findings and practices in public health and biomedicine are supported by reliable evidence.

• Department: Biostatistics
• 3 points

SUSTAINABILITY & URBAN FORM

• Department: Sustainability Management
• MW 4:10 p.m.-6 p.m.
• Instructor: Allison L Bridges
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• 3 points

Financing an Equitable Energy Transition

This course focuses on developing financing strategies that accelerate the decarbonization of affordable housing in compliance with state and city climate laws. Developing affordable housing that is energy efficient involves a blend of conventional and specialized financing tools like federal tax credits, government grants and subsidies, and private capital from mission-driven lenders. Through a structured hierarchy of debt and equity, called a capital stack, students will explore the ways in which expanding energy investments in affordable housing reduce the energy burden of tenants by lowering utility costs, contribute to tenant comfort through operational autonomy, and ensure long-term affordability through improved building performance.

• Department: Sustainability Management
• MW 4:10 p.m.-6 p.m.
• Instructor: Kenyetta N Lovings
  Info
• 3 points

CAPSTONE: NETWORKING & SUSTAINABILITY

CAPSTONE: NETWORKNG & SUS

• Department: Negotiation & Conflict Resolution
• W 9 a.m.-11 a.m.
• Instructor: Mark A Whitlock
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• 3 points

EPIDEMIOLOGY

• Department: Executive Classes in HPM
• Instructor: Jessica Schoaff
  Info
• 3 points

Technology Management Capstone

The TMGT Capstone serves as the culmination of the M.S. in Technology Management program journey. In this course, students will apply the learnings from the entire program to solve a real-world challenge that an organization is facing with a technology solution.

• Department: Technology Management
• R 6:10 p.m.-8 p.m.
• Instructor: Shahryar Shaghaghi
  Info
• Instructor: Katja Schroeder
  Info
• 3 points

HOSPITAL MANAGEMENT

• Department: Executive Classes in HPM
• Instructor: Rebecca R Sale
  Info
• 1.5 points

ACCOUNTING & BUDGETING

• Department: Executive Classes in HPM
• Instructor: John Winkleman
  Info
• 3 points

The U.N. and World Politics

The purpose of this six-week course is to provide a greater understanding of the complex role the United Nations plays in world politics and the maintenance of peace and security through multilateral decision making. In this uncertain political climate, it is even more important to understand global institutions, their strengths and weaknesses and how they function. The United Nations with its 193 member states provides a mirror onto the world and if that world is fractured, the UN body will reflect those fissures.

• Department: Summer Session (SUMM)
• TR 2 p.m.-5:10 p.m.
• 3 points