INSURANCE RISK MANAGEMENT
Review of types of insurance risk, such as pricing risk, underwriting risk, reserving risk, etc. Includes case studies, risk quantification methods (e.g., market-consistent economic capital models, dynamic financial analysis (DFA) models, catastrophe models, etc.), and common mitigation techniques, such as asset-liability management (ALM), reinsurance, etc. Also addresses traditional risk management at insurance companies and ERM actuarial standards of practice (ASOPs).
- 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:
Ding Dai
Info -
Instructor:
Juan D Espinosa
Info - 3 points
CREDIT RISK MANAGEMENT
Credit Risk Management requires business acumen, the monitoring of internal and external data, disciplined execution, and organizational intelligence. A solid understanding of this enables a credit risk manager to help organizations achieve their objectives. Through readings, case studies, and modeling projects, students learn how risk managers decide on credit risk management strategy applied throughout the client lifecycle.
- Department: Enterprise Risk Management
- T 8:10 p.m.-10 p.m.
- R 8:10 p.m.-10 p.m.
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Instructor:
Christakis Droussiotis
Info -
Instructor:
Sudeep Arora
Info - 3 points
NON-LINEAR OPTION PRICING
Prerequisites: familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Prerequisites: Familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Nonlinear Option Pricing is a major and popular theme of research today in quantitative finance, covering a wide variety of topics such as American option pricing, uncertain volatility, uncertain mortality, different rates for borrowing and lending, calibration of models to market smiles, credit valuation adjustment (CVA), transaction costs, illiquid markets, super-replication under delta and gamma constraints, etc. The objective of this course is twofold: (1) introduce some nonlinear aspects of quantitative finance, and (2) present and compare various numerical methods for solving high-dimensional nonlinear problems arising in option pricing.
- Department: Mathematics
- F 6 p.m.-8:10 p.m.
- 3 points
MARKET RISK MANAGEMENT
This course provides the tools to measure and manage market risk in the context of large financial institutions. The volume and complexity of the data itself, at large institutions, makes it a challenge to generate actionable information. We will take on this challenge to master the path from data to decisions.
We cover the essential inputs to the engines of financial risk management: VaR, Expected Exposure, Potential Exposure, Expected Shortfall, backtesting, and stress testing as they apply to asset management and trading. We explore the strengths and weaknesses of these different metrics and the tradeoffs between them. We also cover how regulatory frameworks impact both the details and the strategy of building these engines. Lastly, we cover counterparty-credit methodologies, mainly as they apply to Trading Book risk.
- Department: Enterprise Risk Management
- W 6:10 p.m.-8 p.m.
- T 6:10 p.m.-8 p.m.
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Instructor:
Michael Zwecher
Info -
Instructor:
Deniz Ozenbas
Info - 3 points
CREDIT RISK ANALYTICS
The field of credit risk management is undergoing a quiet revolution as subjective and manually-intensive methods give way to digitization, algorithmic management, and decision-making. This course provides a practical overview and hands-on experience with different methods, and it also provides a view of future technologies and discussions of potential future directions. Participants in this course should be well-positioned to take entry-level analytic positions and help drive strategic decisions.
The first half of the course explores analytics used today for credit risk management. You will learn to create rating and scoring models and a macro scenario-based stress testing model. In the second half of the course, we explore more advanced tools used by the more prominent organizations and fintech firms, including neural net and XGBoost decision tree models.
- Department: Enterprise Risk Management
- W 8:10 p.m.-10 p.m.
- T 6:10 p.m.-8 p.m.
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Instructor:
Christopher Mann
Info -
Instructor:
Douglas W Dwyer
Info - 3 points
MODEL & TRADE DERIVATIVES
Required Prerequisite: Math GR5010 Intro to the Math of Finance (or equivalent). Recommended Prerequisite: Stat GR5264 Stochastic Processes – Applications I (or equivalent).
The objective of this course is to introduce students, from a practitioner’s perspective with formal derivations, to the advanced modeling, pricing and risk management techniques of vanilla and exotic options that are traded on derivatives desks, which goes beyond the classical option pricing courses focusing solely on the theory. It also presents the opportunity to design, implement and backtest vol trading strategies. The course is divided in four parts: Advanced Volatility Modeling; Vanilla and Exotic Options: Structuring, Pricing and Hedging; FX/Rates Components: Discounting, Forward Projection, Quanto and Compo Options; Designing and Backtesting Vol Trading Strategies in Python.
- Department: Mathematics
- S 10:10 a.m.-noon
- 3 points
LIQUIDITY RISK MANAGEMENT
Indicators of companies running into hard times typically include revenue volatility, loss of key personnel, reputational damage, and increased litigation. However, company failures are frequently marked by insufficient liquidity, or the lack of cash to meet obligations. Liquidity risk is the unexpected change in a company’s cash resources or demands on such resources that results in the untimely sale of assets, and/or an inability to meet contractual demands and/or default. In extreme cases, the lack of sufficient cash creates severe losses and results in company bankruptcy.
An institution’s cash resources and obligations can and must be managed. Indeed, the field of liquidity risk management is an established part of treasury departments at sizable institutions. The regularity of cash flows and the turbulence of business and markets must be assessed and quantified. This course provides students the tools and techniques to manage all types of liquidity challenges including the need to sell assets unexpectedly in the market, or work through ‘‘run‐on-the‐bank’’ situations for financial services companies.
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Joseph Dziwura
Info - 3 points
ADVANCED MACHINE LEARNING FOR FINANCE
ADV MACHINE LEARNING FOR
The application of Machine Learning (ML) algorithms in the Financial industry is now commonplace, but still nascent in its potential. This course prepares the next generation of researchers and practitioners for the coming revolution, providing an advanced "deep dive" into machine learning methods (both theory and application) that are deemed to be useful for financial applications, including trading and investment management.
- Department: Mathematics
- T 12:10 p.m.-2 p.m.
- 3 points
BLOCKCHAIN AND ERM
Using Blockchain, decisions can be made without relying on a single centralized authority, allowing for greater transparency and trust between participants. By using smart contracts and distributed ledgers, users can easily create, modify, and manage agreements between stakeholders, ensuring that all parties have access to the same information and can make informed decisions. As a result, Blockchain technology reduces the risks associated with decision-making, and improves efficiency and accuracy. This course first examines the risks and rewards of implementing Blockchain at large organizations engaging in decentralized decision-making processes. The course then explores the Blockchain as a tool for risk management.
- 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.
- 3 points
PRIVACY RISK MANAGEMENT
In today’s digital age, with the collection and usage of personal information growing at an exponential rate, the study of privacy risk management is crucial. As organizations grapple with the dual challenge of monetizing technological innovation without running afoul of regulatory and legal restrictions, the ERM professional who understands how to identify, assess, and manage privacy risk is in high demand. In this course, students will develop an understanding of the legal frameworks governing data usage, the ethical issues associated with the use of personal information, and how to develop robust privacy frameworks and controls in order to manage privacy risk.
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Erin Bansal
Info - 3 points
AI and the Future of Strategic Communica
AI & the Future of Strat
The field of Artificial Intelligence (AI) has rapidly evolved to become a transformative global force across various industries, with particular significance for strategic communication. This elective course provides a comprehensive exploration of AI’s foundations, its current landscape, and its profound impact on media, journalism, public relations, and marketing communications. The course also addresses critical issues surrounding AI such as ethics, policy, and risk management associated with adoption, while offering practical insights into implementing common AI tools and developing essential AI skills for communication professionals.
- Department: Strategic Communication
- M 12:10 p.m.-2 p.m.
- 3 points
Supervised Research
Students conduct research related to biotechnology under the sponsorship of a mentor within the University. The student and the mentor determine the nature and extent of this independent study. In some laboratories, the student may be assigned to work with a postdoctoral fellow, graduate student or a senior member of the laboratory, who is in turn supervised by the mentor. The mentor is responsible for mentoring and evaluating the students progress and performance. Credits received from this course may be used to fulfill the laboratory requirement for the degree. Instructor permission required. Web site: http://www.columbia.edu/cu/biology/courses/g4500-g4503/index.html
- Department: Biological Sciences
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Instructor:
Lili Yamasaki
CULPA: 5 Info - 3-6 points
Supervised Research
Students conduct research related to biotechnology under the sponsorship of a mentor within the University. The student and the mentor determine the nature and extent of this independent study. In some laboratories, the student may be assigned to work with a postdoctoral fellow, graduate student or a senior member of the laboratory, who is in turn supervised by the mentor. The mentor is responsible for mentoring and evaluating the students progress and performance. Credits received from this course may be used to fulfill the laboratory requirement for the degree. Instructor permission required. Web site: http://www.columbia.edu/cu/biology/courses/g4500-g4503/index.html
- Department: Biological Sciences
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Instructor:
Lili Yamasaki
CULPA: 5 Info - 3-6 points
Introduction to Medieval Manuscript Stud
Intro to Medieval Manuscr
This team-taught course introduces methods for studying medieval manuscripts through weekly hands-on instruction and assignments. Students will become acquainted with the collections of medieval manuscripts at Columbia, and will learn from the scholars at Columbia who specialize in the material study of manuscripts as artifacts as well as in types of manuscripts as defined by their textual contents. The course provides a foundation for advanced work and satisfies the material text requirement of the MA in Medieval and Renaissance Studies.
- Department: Medieval and Renaissance Studies
- F 10 a.m.-1 p.m.
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Instructor:
Emily Runde
Info - 4 points
Supervised Independent Research
Students conduct research related to biotechnology under the sponsorship of a mentor outside the University within the New York City Metropolitan Area unless otherwise approved by the Program. The student and the mentor determine the nature and extent of this independent study. In some laboratories, the student may be assigned to work with a postdoctoral fellow, graduate student or a senior member of the laboratory, who is in turn supervised by the mentor. The mentor is responsible for mentoring and evaluating the students progress and performance. Credits received from this course may be used to fulfill the laboratory requirement for the degree. Instructor permission required. Web site: http://www.columbia.edu/cu/biology/courses/g4500-g4503/index.html
- Department: Biological Sciences
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Instructor:
Lili Yamasaki
CULPA: 5 Info - 3-6 points
Supervised Independent Research
Students conduct research related to biotechnology under the sponsorship of a mentor outside the University within the New York City Metropolitan Area unless otherwise approved by the Program. The student and the mentor determine the nature and extent of this independent study. In some laboratories, the student may be assigned to work with a postdoctoral fellow, graduate student or a senior member of the laboratory, who is in turn supervised by the mentor. The mentor is responsible for mentoring and evaluating the students progress and performance. Credits received from this course may be used to fulfill the laboratory requirement for the degree. Instructor permission required. Web site: http://www.columbia.edu/cu/biology/courses/g4500-g4503/index.html
- Department: Biological Sciences
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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 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
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Instructor:
Adam H Litke
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: Mathematics
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Instructor:
Jaehyuk Choi
Info - 1-3 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
- R 6:10 p.m.-8 p.m.
- W 6:10 p.m.-8 p.m.
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Instructor:
Jean Michel Ngalikpima
Info -
Instructor:
Eric Goetz
Info - 3 points
Career Development for Quantitative Fina
Career Develop for Quant
This course helps the students understand the job search process and develop the professional skills necessary for career advancement. The students will not only learn the best practices in all aspects of job-seeking but will also have a chance to practice their skills. Each class will be divided into two parts: a lecture and a workshop.
In addition, the students will get support from Teaching Assistants who will be available to guide and prepare the students for technical interviews.
- Department: Mathematics
- MW 10:10 a.m.-11:25 a.m.
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Instructor:
Jaehyuk Choi
Info - 0 points
Topics in Mathematical Finance
The purpose of this course is for MA in Mathematics of Finance students to gain knowledge and practical skills that are essential in the finance industry. The course will run as a series of lectures and discussions on various relevant topics, such as business communications and career talks that may feature guest speakers from the industry as well as the full-time faculty members. This will prepare the students for their job search, networking, and in their industry jobs in the future.
- Department: Mathematics
- TR 6:10 p.m.-7:25 p.m.
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Instructor:
Jaehyuk Choi
Info - 0 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
- M 6:10 p.m.-8 p.m.
- R 8:10 p.m.-10 p.m.
- T 6:10 p.m.-8 p.m.
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Instructor:
Helda Rock
Info -
Instructor:
Jean Michel Ngalikpima
Info -
Instructor:
Tahmina Day
Info - 3 points
DERIVATIVES RISK MANAGEMENT
This course explores financial derivatives across different asset classes with in-depth analysis of several popular trades including block trades, program trades, vanilla options, digital options, and variance swaps. Their dynamics and risks are explored through Monte Carlo simulation using Excel and Python. The daily decisions and tasks of a frontline risk manager are recreated and students have the opportunity to see which trades they would approve or reject. Students will gain a working knowledge of financial derivatives and acquire technical skills to answer complex questions on the trading floor.
- Department: Enterprise Risk Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Alberto Scalari
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
- R 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
- T 8:10 p.m.-10 p.m.
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Instructor:
Kristen Walters
Info - 3 points
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 8:10 p.m.-10 p.m.
- W 8:10 p.m.-10 p.m.
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Instructor:
Viktor Ziskin
Info -
Instructor:
Barney Baldwin
Info - 3 points
MODEL RISK MANAGEMENT
Given the ever growing reliance on models, Model risk affects financial institutions at almost every level of their organization including pricing, risk, finance, and marketing. Model risk management (MRM) is now one of the primary focuses of operational risk management at modern financial institutions. In this class, the ERM skill sets of risk identification, risk quantification, and risk decision making are applied to the kinds of models seen in large, complex financial institutions. Through readings, lecture, assignments, and in-class discussions, students learn the principles and concepts that a robust MRM function uses to manage model risk.
- Department: Enterprise Risk Management
- T 8:10 p.m.-10 p.m.
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Instructor:
Peter L Russo
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
Internship in ACTU
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Actuarial Science
- 1.5 points
Internship in APAN
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Applied Analytics
- 1.5 points
Internship in CNAD
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Construction Administration
- 1.5 points
Internship in COMM
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Strategic Communication
- 1.5 points
Internship in ERM
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Enterprise Risk Management
- 1.5 points
Internship in HCM
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Human Capital Management
- 1.5 points
Internship in IKNS
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Information & Knowledge Strat
- 1.5 points
Internship in NECR
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Negotiation & Conflict Resolution
- 1.5 points
Internship in NMED
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Narrative Medicine
- 1.5 points
Internship in NOPM
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Non Profit Management
- 1.5 points
Internship in POAN
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Political Analytics
- 1.5 points
Internship in SPRT
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Sports Management
- 1.5 points
Internship in SUMA
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Sustainability Management
- 1.5 points
Internship in SUSC
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Sustainability Science
- 1.5 points
Internship in TMGT
This asynchronous, 1.5-credit elective combines a supervised professional internship with guided analysis of workplace culture, ethics, and feedback practices. Students evaluate organizational values, inclusivity, and ethical decision-making while developing the skills needed to navigate professional environments and identify the workplace cultures in which they will thrive.
- Department: Technology Management
- 1.5 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 8:10 p.m.-10 p.m.
- M 6:10 p.m.-8 p.m.
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Instructor:
Leslie Weinstein
Info - 3 points
CYBERSECURITY RISK MANAGEMENT
Cyber losses, reflected in daily headlines on data breaches, state-sponsored attacks on critical infrastructure, and ransomware incidents, have grown to exceed other major categories of operating risk in terms of total cost, driving increased regulatory activity in response.
This means risk management professionals need a solid understanding of cyber-risk management programs, techniques, mitigation strategies, architectures, frameworks, and procedures, which this course provides. Some frameworks covered include ISO27001, NIST CSF, CIS 18 Critical Security Controls, etc. Effective management of cyber-risks is an Enterprise-wide activity addressing immediate risks requiring attention while building a mature foundation for a resilient and proactive cybersecurity risk management program; a Technology Risk Management foundation is therefore a prerequisite for enrollment; however, IT expertise is not.
The course provides practical, hands-on, cases and exercises for the application of cyber-risk management principles, equipping course graduates to help lower the probability of a risk event in their organization, and to enhance organizational resilience for effective incident response and recovery.
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
- W 6:10 p.m.-8 p.m.
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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.
- M 8:10 p.m.-10 p.m.
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Instructor:
Shahryar Shaghaghi
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
- M 6:10 p.m.-8 p.m.
- M 8:10 p.m.-10 p.m.
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Instructor:
Dan Cahill
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.
- T 8:10 p.m.-10 p.m.
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Instructor:
Rich Lauria
Info -
Instructor:
Tatiana Dmitrieva
Info - 3 points
ROLE OF FINANCE IN INSURANCE
- Department: Insurance Management
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Instructor:
Robert Percopo
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
- R 6:10 p.m.-8 p.m.
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Instructor:
David Burkus
Info - 1.5 points
CINEMA/MEDIA HISTORIOGRAPHY
An introduction to issues and cases in the study of cinema century technologies. This class takes up the definition of the historiographic problem and the differences between theoretical empirical solutions. Specific units on the history of film style, genre as opposed to authorship, silent and sound cinemas, the American avant-garde, national cinemas (Russia and China), the political economy of world cinema, and archival poetics. The question of artificial intelligence approached as a question of the “intelligence of the machine.” A unit on research methods is taught in conjunction with Butler and C.V. Starr East Asian Libraries. Writing exercises on a weekly basis culminate in a digital historiography research map which becomes the basis of final written “paper” posted in Courseworks in video essay format. Students present this work at a final conference. Topics in the past include:
Cultural Transactions: Across Media and Continents, Genre: Repetition and Difference, and Bang, Bang, Crash, Crash: Canon-Busting and Paradigm-Smashing
- Department: Film
- W 10:10 a.m.-12:40 p.m.
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Instructor:
Jane Gaines
CULPA: 4 Info - 3 points
GLOBAL FIELDWORK IN COMMUNICATION
This course gives students a chance to explore topics of global importance while gaining competence in cross-cultural communication and collaboration. The centerpiece is a 10-day study abroad experience, in which students travel internationally to engage with local actors and organizations who are doing strategic communication work. The course focuses on communication related to climate resilience, public health, politics, government, and culture. Students gain global perspective on the impact of strategic communication across sectors. See country brochure for additional details.
- Department: Strategic Communication
- 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.
- M 8:10 p.m.-10 p.m.
- T 6:10 p.m.-8 p.m.
- W 6:10 p.m.-8 p.m.
- R 8:10 p.m.-10 p.m.
- R 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
- T 6:10 p.m.-8 p.m.
- R 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
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Instructor:
Xue Bai
Info - 3 points
INSURANCE RISK MANAGEMENT
- Department: Insurance Management
-
Instructor:
Kenneth Radigan
Info - 3 points
Perspectives on International and World
Persptvs on Int'l & World
This course gives students the opportunity to design their own curriculum: To attend lectures, conferences and workshops on historical topics related to their individual interests throughout Columbia University. Students may attend events of their choice, and are especially encouraged to attend those sponsored by the History Department (www.history.columbia.edu). (The Center for International History - cih.columbia.edu - and the Heyman Center for the Humanities - heymancenter.org/events/ - also have impressive calendars of events, often featuring historians.) The goal of this mini-course is to encourage students to take advantage of the many intellectual opportunities throughout the University, to gain exposure to a variety of approaches to history, and at the same time assist them in focusing on a particular area for their thesis topic.
- Department: History
-
Instructor:
Line Lillevik
Info - 1-3 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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: Quantitative Methods/Social Sciences
-
Instructor:
Gregory M Eirich
CULPA: 1 Info - 1-4 points
MASTER'S THESIS
This course fulfills the Masters Thesis requirement of the QMSS MA Program. It is designed to help you make consistent progress on your master’s thesis throughout the semester, as well as to provide structure during the writing process. The master’s thesis, upon completion, should answer a fundamental research question in the subject matter of your choice. It should be an academic paper based on data that you can acquire, clean, and analyze within a single semester, with an emphasis on clarity and policy relevance.
- Department: Quantitative Methods/Social Sciences
- M 4:10 p.m.-6 p.m.
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Instructor:
Elena B Krumova
Info - 3-4 points