MARKET RESEARCH
Market research is the way that companies identify, understand and develop the target market for their products. It is an important component of business strategy, and it draws on the research and analytics skills you have learned thus far in the program. Often market research consists of generating your own data, through quantitative and qualitative methodologies, in pursuit of the market research question.
This course is an elective that will expand on quantitative and qualitative methodologies that have been introduced previously, provide an introduction to other methodologies that are more specific to market research, and provide hands-on practice in defining a market research plan from start to finish. Students will also learn about particular types of market research studies and when and how they should be deployed. Students will generate and test their own research instruments. Through the use of case studies and simulations, students will learn how market research fits into an overarching marketing plan for a company.
This course is designed for students who have completed the Research Design and Strategy and Analytics core courses, and who are exploring how research fits into product marketing. You will leave this class understanding the essential aspects of market research, when and how they should be deployed, and the role you could play in small and large companies directing and executing on market research opportunities.
- Department: Applied Analytics
- M 8:10 p.m.-10 p.m.
-
Instructor:
Diahanna L Post
Info - 3 points
GENDER AND COMMUNICATION IN THE WORKPLAC
GENDER & COMM IN THE WORKPLACE
Gender and Communication in the Workplace offers professionals across sectors and industries the knowledge and skills needed to identify the social and linguistic practices enacted at work, and the opportunity to advance the interests of those who run up against barriers to advancement as a result of prejudice and stereotyping.
- Department: Strategic Communication
- M 6:10 p.m.-8 p.m.
-
Instructor:
Kristine Billmyer
Info - 3 points
AI USER INTERFACES FOR ANALYTICS
AI UI FOR ANALYTICS
In recent years, data analytics and artificial intelligence (AI) have become essential to business intelligence and informed decision making. But to realize the impact of analytics and AI, effective visual communication of data insights via user interfaces (UI), such as web pages and app dashboards, is equally critical. Building effective UIs requires mastering the user experience (UX) design principles and certain front-end development technologies. Furthermore, the recent rise of multimodal Generative AI offers unprecedented opportunities for simplifying, automating, and scaling UX/UI development.
This course provides a comprehensive understanding of UX design principles and best practices for developing UIs while emphasizing ethical considerations and inclusivity. Students will learn to create intuitive and visually engaging websites and dashboards that leverage AI-generated insights, also considering data privacy, diversity, and accessibility. Key topics include the design, implementation, and evaluation of UIs, with hands-on experience in web development technologies like HTML, CSS, and JavaScript, as well as related cloud services. Students will apply state-of-the-art AI technologies to create intelligent and interactive UIs, all while critically assessing data sources and AI models for potential biases.
The course content comprises a blend of conceptual learning and practice assignments. Weekly lectures and reading materials will cover the fundamentals of data visualization and user experience designs. Students will put the gained knowledge into practice through individual design and coding assignments and a group term project.
- Department: Applied Analytics
- M 8:10 p.m.-10 p.m.
-
Instructor:
Javid B Huseynov
Info - 3 points
RETIREMENT PLANNING AND INSURANCE
RETIREMENT PLANNG & INSUR
This course addresses two key components of financial planning: retirement and
insurance. Students will be exposed to the various options available for clients
planning for retirement and the benefits and costs of various insurance
plans. Students will learn how to conduct a requirement needs analysis as they
explore the various types of retirement plans and the rules, options, regulatory and
taxation considerations that impact those plans. The course will also provide
overviews of the Social Security, Medicare, and Medicaid systems. The course will
also provide an analysis and evaluation of risk exposure types for which a client
might want insurance, including liability, automobile, homeowner’s, health,
disability, long-term care, and life risks. Students will learn how to conduct
insurance needs analysis and to select appropriate insurance policies and
companies for their clients.
- Department: Wealth Management
- 3 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)
-
Instructor:
Lili Yamasaki
CULPA: 5 Info - 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)
-
Instructor:
Lili Yamasaki
CULPA: 5 Info - 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)
-
Instructor:
Lili Yamasaki
CULPA: 5 Info - 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)
-
Instructor:
Lili Yamasaki
CULPA: 5 Info - 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:
Tom Williams
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
GLOBAL FINANCIAL SERVICES IN THE 21ST CE
GLOBAL FIN SERV IN THE 21
With an orientation more towards practical application, the intent of this course is to provide a strategic framework with which students can evaluate and understand the global financial services industry of both today and tomorrow. In this course we are defining global financial services as encompassing central banks, commercial and investment banks, asset/wealth management institutions and financial regulators. Via case studies, proprietary materials, class based problem solving exercises, and guest lectures, we will examine and discuss the i) current and future role of the major financial service participants, (ii) key drivers influencing an industry that has always been characterized by significant change (e.g., regulatory, technology, risk, globalization, and client needs), and (iii) challenges and opportunities facing today's financial services' CEOs post the 2008/09 financial crisis. Furthermore, this course is designed for students who want to be financial “architects and leaders”, not financial “technicians”.
- Department: Enterprise Risk Management
- R 4:10 p.m.-6 p.m.
-
Instructor:
Richard Goldberg
Info - 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:
Juan Echeverri
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.
- W 6:10 p.m.-8 p.m.
-
Instructor:
Harish Dakshina
Info -
Instructor:
R S Forston
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
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.
TOOLS FOR RISK MANAGEMENT
Tools for Risk Management examines how risk technology platforms assess risks. These platforms gather, store, and analyze data; and transform that data to actionable information. This course explores how the platforms are implemented, customized, and evaluated. Topics include business requirements specification, data modeling, risk analytics and reporting, systems integration, regulatory issues, visualization, and change processes. Hands-on exercises using selected vendor tools will give students the opportunity to see what these tools can offer.
- Department: Enterprise Risk Management
- R 6:10 p.m.-8 p.m.
-
Instructor:
Barney Baldwin
Info - 3 points
ERM MODELING
Equips students with the basics of risk measurement and simulation using a hands-on approach to ERM modeling. Using industry-standard simulation software, students build systems of risk drivers for finance and insurance companies. Topics include risk correlations, VaR and TVaR, capital modeling, capital allocation, and parameter, process, and model Risk. Students acquire both quantitative experience building models and qualitative appreciation for model weaknesses.
- Department: Enterprise Risk Management
- M 8:10 p.m.-10 p.m.
- T 6:10 p.m.-8 p.m.
-
Instructor:
Julian Horky
Info -
Instructor:
Tom Passante
Info - 3 points
MACHINE LEARNING FOR RISK MANAGEMENT
The exponentially increasing availability of data and the rapid development of information technology and computing power have inevitably made Machine Learning part of the risk manager’s toolkit. But, what are these tools? This class provides the driving intuitions for machine learning. Students will see how many of the algorithms are extensions of what we already do with our human minds. These algorithms include regularized regression, cluster analysis, naive bayes, apriori algorithm, decision trees, random forests, and boosted ensembles.
Through practical and real-life applications of ML to Risk Management, students will learn to identify the best technique to apply to a particular risk management problem, from credit risk measurement, fraud detection, portfolio selection to climate change, and ESG applications.
- Department: Enterprise Risk Management
- M 6:10 p.m.-8 p.m.
- 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
- R 6:10 p.m.-8 p.m.
- M 8:10 p.m.-10 p.m.
-
Instructor:
Rod Aday
Info -
Instructor:
Adam Ely
Info - 3 points
CYBERSECURITY RISK MANAGEMENT
TBA
- Department: Enterprise Risk Management
- R 6:10 p.m.-8 p.m.
-
Instructor:
Corey Hirsch
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
- R 6:10 p.m.-8 p.m.
-
Instructor:
Tahmina Day
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.
- W 6:10 p.m.-8 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
- T 8:10 p.m.-10 p.m.
- R 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
-
Instructor:
Tatiana Dmitrieva
Info -
Instructor:
Rich Lauria
Info -
Instructor:
Zava Aydemir
Info - 3 points
STRATEGY AND ANALYTICS
STRATEGY AND ANALYTICS ONLINE
n/a
- Department: Applied Analytics
- W 6:10 p.m.-8 p.m.
-
Instructor:
Ranjit Kumble
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
- T 5:10 p.m.-8 p.m.
- R 6:10 p.m.-9 p.m.
-
Instructor:
Elyse Hoelzer
Info -
Instructor:
Mark Truss
Info - 3 points
Communication and the Client Experience
This course focuses on the 3C’s of wealth management: communications,
counseling and client relationship management. The first half of the course will
focus on both the theoretical foundations as well as best practices associated with
client communication and counseling. The overall objective is for the learner to
develop a variety of tools to develop deeper relationships with clients through a
variety of different communication tools. This case-based course blends both
theory and active learning, where students will observe and demonstrate effective
oral and written communication within a client-planner interaction.
The second half of the course will focus on client relationship management over
the entire life-cycle of the client, from business development to generational
transfer of wealth. Students will develop the necessary skills to both attract new
clients as well as to develop deeper relationships throughout the wealth
management process. Students will also learn to analyze their clients and structure
persuasive, ethical, and compelling messages in written and verbal channels. In
addition, this course will discuss how technology is utilized to better connect with
clients including the ability to integrate reporting, analytics and performance to
provide more sophisticated and customized advice.
- Department: Wealth Management
-
Instructor:
Aaron E Alley
Info - 3 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 & LEADING CHNG
- Department: Applied Analytics
- S 10:10 a.m.-noon
-
Instructor:
Paul J Bailo
Info - 3 points
ANALYTICS & LEADING CHANGE
ANALYTICS & LEADNG CHNG ONLINE
- Department: Applied Analytics
- M 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
-
Instructor:
David Kreutter
Info -
Instructor:
Zachary Kornhauser
Info - 3 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
International Assignment:China
- Department: Business
-
Instructor:
Faculty
h-index: 37 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
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 9 a.m.-9:50 a.m.
- 0-1 points
EQUITY, ENERGY AND THE BUILT ENVIRONMENT
EQUITY, ENERGY AND BUILT
- Department: Sustainability Management
- TR 4:10 p.m.-6 p.m.
- 3 points
Boston & New York Global Experience
- Department: Business
-
Instructor:
Faculty
h-index: 37 Info - 3 points
San Francisco Global Experience
- Department: Business
-
Instructor:
Faculty
h-index: 37 Info - 3 points
Paris Global Experience
- Department: Business
-
Instructor:
Faculty
h-index: 37 Info - 3 points
Crisis Leadership and Human Behaviour
Crisis Leader & Human Beh
- Department: Business
-
Instructor:
Faculty
h-index: 37 Info - 1.5 points
Building a Scalable Business
- Department: Business
-
Instructor:
Faculty
h-index: 37 Info - 3 points
Applications of AI & ML in Business
- Department: Business
- MTWRF 9 a.m.-5 p.m.
- None None-None
-
Instructor:
Faculty
h-index: 37 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
- T 6:10 p.m.-8 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
- W 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
- M 6:10 p.m.-8 p.m.
-
Instructor:
Sam Gong
Info -
Instructor:
Aristargos Christodoulou
Info -
Instructor:
Richard R. Ranade
Info - 3 points
CAPSTONE PROJECT
TBA
- Department: Narrative Medicine
-
Instructor:
Jenessa R Abrams
Info -
Instructor:
Maura L Spiegel
CULPA: 40 Info -
Instructor:
Zahra H Khan
Info - 2-4 points
Mergers, MBOs & Other Corp. Re
- Department: Finance
-
Instructor:
Faculty
h-index: 37 Info - 3 points
Private Equity and Venture Cap
- Department: Accounting (ACCT)
-
Instructor:
Faculty
h-index: 37 Info - 3 points
Quality Improvement Practicum
Quality health care is dependent on consistent, systematic, and collaborative efforts of all healthcare personnel through the shared priority objective of positive patient outcomes. In this practicum on Quality Improvement, students will apply concepts of the NURSN5950 Nursing Leadership and Management course and engage in established healthcare quality improvement initiatives. This interactive course explores quality improvement, research processes, knowledge of health-care systems, and innovative corrective measures as it relates to safe, effective nursing practice. Through the support of student group-led analysis and discussion of selected quality improvement measures, students will explore strategies and roadmaps to quality healthcare through the lens of multidisciplinary collaboration and nursing leadership.
- Department: Nursing
- R 1 p.m.-2:50 p.m.
-
Instructor:
Candice Smith
Info - 2 points
Emerging Markets
- Department: Business Economics
- MTWRF 9 a.m.-5 p.m.
- None None-None
-
Instructor:
Faculty
h-index: 37 Info - 3 points
SUPERVISED INTERSHIP IN SPORTS MANAGEMEN
- Department: Sports Management
-
Instructor:
Jennifer Dick
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
Independent Study
This one-semester course 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 and 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 and contribute new insight into the discipline of Political Analytics.
The topic can be chosen freely by the student as long as it falls within the general realm of Political Analytics or its specific content areas in the Political Analytics curriculum, such as politics and advocacy, data analytics, campaign management, polling, and quantitative methods. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity and to make a contribution to the wider discipline of Political Analytics while also deepening their understanding of the content they acquired in other courses, by applying this material to the specific topic chosen for the Independent Study.
- Department: Political Analytics
-
Instructor:
Michael Schwam-Baird
Info - 1-3 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.
-
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:
Sabrina Iaria
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:
Jia Wei Cao
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:
Mariela Torres
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:
David Slotnick
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:
Mariela Torres
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:
Mariela Torres
Info - 3 points
NARRATIVE MEDICINE INDEP STUDY
- Department: Narrative Medicine
-
Instructor:
Zahra H Khan
Info -
Instructor:
Catherine G Rogers
Info - 1-4 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:
Mariela Torres
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:
Mariela Torres
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:
Mariela Torres
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:
Taylor Wordsman
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:
Taylor Wordsman
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:
Mariela Torres
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
- Department: Sustainability Management
-
Instructor:
Maria L Gray
Info - 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
SUPERVISED INDIVIDUAL RESEARCH
- Department: Graduate School of Arts and Sciences
-
Instructor:
Syantani Chatterjee
Info - 1-4 points
ADVANCED PROJECTS
May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the students previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.
- Department: Electrical Engineering
-
Instructor:
Zoran Kostic
CULPA: 1 h-index: 24 Info -
Instructor:
Mingoo Seok
h-index: 31 Info - 1-4 points