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.
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Instructor:
Robert Simione
Info - 3 points
RACE AND BIOETHICS
- Department: Bioethics
- TR 8 p.m.-10 p.m.
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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.
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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.
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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.
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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.
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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.
Internship in ACTU
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Actuarial Science
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in APAN
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Applied Analytics
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in CNAD
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Construction Administration
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in COMM
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Strategic Communication
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in ERM
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Enterprise Risk Management
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in HCM
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Human Capital Management
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in IKNS
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Information & Knowledge Strat
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in NECR
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Negotiation & Conflict Resolution
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in NMED
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Narrative Medicine
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in NOPM
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Non Profit Management
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in POAN
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Political Analytics
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in SPRT
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Sports Management
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in SUMA
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Sustainability Management
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in SUSC
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Sustainability Science
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Instructor:
Mariela Torres
Info - 1.5 points
Internship in TMGT
This asynchronous, 1.5-credit elective integrates a supervised professional internship with structured reflection and applied coursework to help students connect academic learning to real-world practice. Through career design, goal setting, and reflective exercises, students clarify professional interests, build adaptability, and articulate the impact of their internship on future career pathways.
- Department: Technology Management
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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.
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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.
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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.
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Instructor:
Shahryar Shaghaghi
Info -
Instructor:
Kiran Bhujle
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.
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.
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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.
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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.
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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.
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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.
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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.
- S 11:10 a.m.-2 p.m.
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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
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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.
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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.
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Instructor:
Richard Goldberg
Info - 1.5 points
SOLAR PROJECT DEVELOPMENT
TBA
- Department: Sustainability Management
- T 6:10 p.m.-8 p.m.
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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.
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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.
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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
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Instructor:
Alejandro Zarate Santovena
Info - 3 points
INTERCOLLEGIATE ATHLETICS ADMIN
- Department: Sports Management
- MTWRF 9 a.m.-5 p.m.
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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
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Instructor:
Teresa W Chan
Info - 3 points
Topics in Nursing Practice
TOPICS IN NURSING PRACTIC
This course is designed to introduce pre-licensure students to relevant and emergent topics which affect the practice of nursing in the national and international healthcare system. The focus will be on issues confronting professional nurses including global health, cultural awareness, gender identity, and evidence-based wellness. State mandated topics for licensure will be covered.
- Department: Nursing
- F 8 a.m.-8:50 a.m.
- R 8 a.m.-9 a.m.
- None None-None
- 0 points
Special Topics: Soccernomics
Soccer is the world’s most popular sport by far. Over 160 years, the sport has built an infrastructure to coordinate the operation of the global game, and in almost every country, this structure shapes the professional game and the commercial framework. The US is a glaring exception to this system. The course will explore the origin, meaning, and consequences of these differences.
Building on the knowledge you have acquired about the American professional sports model, students will identify the key elements of the global soccer system and the ways they diverge from the US model. Students will examine the club/league system and the organization of representative national team competition. In doing so, students will consider both the historical and cultural context of these systems and their economic logic.
This elective course is designed for students enrolled in the MS Sports Management Program who have completed the Foundations of Sports Management course. It is an in-person block week and is not open for cross-registration.
- Department: Sports Management
- MTWRF 9 a.m.-5 p.m.
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Instructor:
Stefan Szymanski
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.
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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.
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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.
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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
European Financial Markets
- Department: Business Economics
- MTWRF 9 a.m.-6:30 p.m.
-
Instructor:
Faculty
h-index: 37 Info - 3 points
Emerging Markets
- Department: Business Economics
- MTWRF 9 a.m.-6:30 p.m.
-
Instructor:
Faculty
h-index: 37 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.
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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.
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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.
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.
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Instructor:
Arthur Kuflik
Info - 1 points
MASTER THESIS (2 CREDIT)
Thesis requirement for Bioethics program. Taken with the Thesis Workshop (BIET K5991).
- Department: Bioethics
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Instructor:
Arthur Kuflik
Info - 2 points
Internship In ACTU
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Actuarial Science
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Instructor:
Paul Maniaci
Info - 3 points
Internship In APAN
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Applied Analytics
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Instructor:
William Goodall
Info - 3 points
Internship in BIET
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Bioethics
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Instructor:
Paul Maniaci
Info - 3 points
Internship In CNAD
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Construction Administration
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Instructor:
Paul Maniaci
Info - 3 points
Internship In ERM
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Enterprise Risk Management
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Instructor:
Hannah Salto
Info - 3 points
Internship In HCM
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Human Capital Management
-
Instructor:
Paul Maniaci
Info - 3 points
Internship In IKNS
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Information & Knowledge Strat
-
Instructor:
Paul Maniaci
Info - 3 points
Internship in NECR
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Negotiation & Conflict Resolution
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Instructor:
Paul Maniaci
Info - 3 points
Internship in NMED
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Narrative Medicine
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Instructor:
Paul Maniaci
Info - 3 points
Internship In NOPM
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Non Profit Management
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Instructor:
Paul Maniaci
Info - 3 points
Internship In POAN
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Political Analytics
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Instructor:
Paul Maniaci
Info - 3 points
Internship in SPRT
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Sports Management
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Instructor:
Paul Maniaci
Info - 3 points
Internship In SUMA
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Sustainability Management
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Instructor:
Victoria Passarella
Info - 3 points
Internship In SUSC
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Sustainability Science
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Instructor:
Victoria Passarella
Info - 3 points
Internship In TMGT
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- 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
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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
Leadership in Action
MIA & MPA Leadership and Management I Core.
Leadership in Action
integrates strategic leadership frameworks, real-world case studies, and an immersive multi-week simulation to build students’ capacity to lead in complex, high-stakes environments. Through a sequence of applied exercises, ranging from team formation and innovation design to crisis response, students will develop critical skills in decision-making, influence, and organizational change. The course emphasizes adaptive leadership, cross-sector collaboration, and ethical judgment, equipping students to lead effectively under conditions of uncertainty and pressure.
- Department: International and Public Affairs
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Instructor:
Kirsti Samuels
Info - 1.5 points
Accounting for Public Affairs
This course provides an introduction to both financial and managerial accounting and emphasizes the analysis and evaluation of accounting information from the perspective of managers in the planning, decision-making, and control processes. The objective is to provide an overview of financial accounting and reporting, including basic accounting concepts and principles, the financial statements, financial statement analysis, and the use of AI in accounting.
The course also introduces elements of managerial accounting to develop an understanding of how accounting information can be used in internal decision-making. Topics include cost behavior and analysis, product and service costing, and relevant costs for internal decision-making.
This course is designed for students who will use accounting information to make strategic decisions in public and non-profit organizations, as well as those seeking a broad understanding of accounting and financial reporting as it relates to managers, creditors, shareholders, and other users of financial information. The focus is on the users rather than the preparers of financial information. An organization’s strategy is often predicated on the managerial team’s ability to understand the financial implications of their decisions and how those decisions impact the day-to-day activities of the operations and the foreseeable future.
The EMPA students participating in this course will be provided with a broad understanding of financial and managerial accounting, which should enable them to adapt their knowledge to careers in private, public, or non-profit management.
- Department: EXECUTIVE MPA
- M 6:10 p.m.-8:45 p.m.
- 3 points
Global Health Equity and the Responsibil
GLB HLTH EQTY RES NUR PRO
The pursuit of health equity for all in the 21st century is a global mandate and responsibility. This course is designed to provide an overview of critical health disparities within the global community and provide the student with a systematic approach to understanding them within the framework of human rights and social justice. The course will also explore the role and responsibility of the nursing profession to address these with both individual and cooperative strategies.
- Department: Nursing
- F 11 a.m.-1:50 p.m.
- M 9 a.m.-11:50 a.m.
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Instructor:
Jennifer E Dohrn
Info - 2 points
GENERALIST SOCIAL WORK PRACTICUM
GENERALIST SW PRACTICUM
Field education is a central component in each student's professional education, and requires 21 hours a week for all four terms of the full-time M.S. degree. Placements provide a range of experiences to integrate with theoretical learning from class work and to develop knowledge, values, and skills for social practice.
- Department: Social Work
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Instructor:
Karen Carlucci
Info -
Instructor:
Katherine K Tineo
Info -
Instructor:
Vanessa Zeigler
Info - 4.5 points
Specialized Social Work Practicum
SPECIALIZED SW PRACTICUM
- Department: Social Work
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Instructor:
Sarah R Feeney
Info -
Instructor:
Ana Chaer Salvador
Info -
Instructor:
Erin Orjuela
Info - 3 points