Individual Courses for Postbaccalaureate Studies Students

This course provides an overview of the traditional ERM frameworks used to identify, assess, manage, and disclose key organizational risks. The traditional ERM frameworks are those that are more commonly in use and include COSO ERM, ISO 31000, and the Basel Accords. This course also provides an understanding of the methods, tools, techniques, and terminology most organizations use to manage their key risks, presented in the context of the foundational elements of an ERM process. This will enable students to navigate the ERM landscape within most organizations, and, along with the second-semester course Value-Based ERM, evaluate opportunities to enhance the existing ERM practices and evolve their ERM programs over time.

Availability

On Campus: Fall and Spring
Online: Fall and Spring

Workshop-like course that addresses a variety of communication skills, including listening skills, presentation skills, leadership communications, conflict resolution, management interactions, and professional communication techniques.

(Students must take this course in the first semester.)

Availability

On Campus: Fall and Spring
Online: Fall, Spring, and Summer

Foundational ERM course. Addresses all major ERM activities: risk framework; risk governance; risk identification; risk quantification; risk decision making; and risk messaging. Introduces an advanced yet practical ERM approach based on the integration of ERM and value-based management that supports integration of ERM into decision making. Provides a context to understand the differences between (a) value-based ERM; (b) traditional ERM; and (c) traditional "silo" risk management.

Availability

On Campus: Every term
Online: Every term

Provides a global review of ERM requirements of regulators, rating agencies, and shareholders. Addresses three industry sectors: (1) insurance; (2) banking; and (3) corporate.

Availability

On Campus: Every term
Online: Every term

Review of the types of strategic risks, such as a flawed strategy, inability to execute the strategy, competitor risk, supply chain risk, governance risk, regulatory risk, M&A risk, international risk, etc. Includes case studies, research, and common mitigation techniques, such as strategic planning practices, management techniques, governance practices, supply-chain management, etc.

Availability

On Campus: Every term
Online: Every term

Review of the types of operational risks, such as technology risk (e.g., cyber-security), human resources risk, disasters, etc. Includes case studies, risk analysis frameworks and metrics, and common mitigation techniques, such as insurance, IT mitigation, business continuing planning, etc.

Availability

On Campus: Every term
Online: Every term

The FRM course surveys market, credit, liquidity, and systemic risk. It includes case studies, risk quantification methods, and common mitigation techniques using portfolio management, hedging, and derivatives.

This is a challenging course that builds on material presented in Intro to Quantitative Risk Management (iQRM). iQRM is a prerequisite for this course. An iQRM waiver exam is presented each semester. Seminars are offered to help students prepare for the waiver exam.

Availability

On Campus: Every term
Online: Every term

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).

Availability

On Campus: Fall and Spring
Online: Fall and Spring (starting Fall 2026)

Students without a strong math background and experience with Excel will require significant additional time and effort to achieve the learning objectives and work through the course assignments.

This course builds a foundation in the mathematics and statistics of risk management. Students are empowered to understand the output of quantitative analysts and to do their own analytics. Concepts are presented in Excel and students will have the opportunity to practice those concepts in Excel, R or Python.

This course is a required prerequisite for registering for the following courses: Coding for Risk Management, Financial Risk Management, Quantitative Risk Management, Credit Risk Management, Market Risk Management, Credit Risk Analytics, Applied Coding for Risk Management, Derivatives Risk Management, Model Risk Management, ERM Modeling, and Machine Learning for Risk Management.

Open seminars are available for students to preview the course material and review.

iQRM Waiver
A waiver exam is offered at the end of each semester. Passing the exam allows students to waive iQRM as a prerequisite for other courses. The open iQRM seminar series is available to help students prepare for the exam. Students who have passed GARP Exam I or two actuarial exams can submit documentation to waive the iQRM prerequisite.

Availability

On Campus: Every term
Online: Fall and Spring

Students with no experience with code will require significant additional time and effort to achieve the learning objectives and work through the course assignments.

The course equips students with the ability to adopt the programming culture typically present at risk departments. By studying Python, SQL, R, and git, students gain exposure to different syntaxes. Students apply these skills by coding up the concepts introduced in iQRM along with other market risk and credit risk concepts.

Open seminars are available for students to preview the course material and review.

Availability

On Campus: Fall and Spring
Online: Every term

This course provides a practical, case-based exploration of financial risk management within financial institutions, with a focus on emerging digital asset markets. A lineup of industry guest lectures, each presenting one or two times, show students how enterprise risk functions operate across trading, lending, capital allocation, and strategic decision-making. Topics include cryptocurrencies, digital cash, tokenized assets, and their implications for market, credit, liquidity, operational, and regulatory risk.

Students engage with a combination of academic and practitioner-oriented readings, including foundational financial risk management texts, industry white papers, and regulatory guidance. The course concludes with a forward-looking assessment of how financial services and risk management may evolve as digital asset adoption expands, including the potential role of bitcoin in global financial systems.

Each semester, the FRM Practices course varies a bit, because we bring in different experts to address various aspects of the work. For fall 26, the course will be organized in two parts. The first part introduces the foundations of digital assets, including their classification and the financial services built around them. Students examine evolving accounting treatment and regulatory capital requirements, and analyze how the classification of digital assets as cash, securities, commodities, or intangible assets affects market, credit, and liquidity risk. The second part focuses on applications, including cryptocurrency derivatives, crypto and crypto-backed lending, collateral management, and consumer banking with digital assets. Students apply established pricing and risk measurement techniques while addressing practical challenges such as limited data, fragmented markets, and novel financial products.

(Students must complete ERMC PS5360: Financial Risk Management prior to registering for this course.)

Availability

On Campus: Fall 
Online: Not offered

Quantitative Risk Management continues building your quantitative foundation in order to work with more advanced models and use mathematical and statistical intuition for building those models. At the end of this course, you will be able to use analytics algorithms for risk management; use factor models to assess the quality of investment portfolios and trader positions; hedge equity, option, and fixed-income portfolios using derivatives; estimate volatility with options models and GARCH models; and model ESG and Climate risk.

The course is highly structured and organized by topic into semester long learning threads. Each week, readings and assignments will take another step forward along these threads: regression models, classification models, time series analysis, options and volatility modeling, fixed income modeling, factor models and portfolio management, tail risk modeling. These concepts will be demonstrated in python and students are expected to be able to understand and run python code.

Availability

On Campus: Fall
Online: Not offered

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.

Availability

On Campus: Fall and Spring
Online: Every term

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.

Availability

On Campus: Every term
Online: Every term

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.

Availability

On Campus: Fall
Online: Fall

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.

Availability

On Campus: Fall and Spring
Online: Not offered

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.

Availability

On Campus: Every term
Online: Not offered

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.

Availability

On Campus: Fall and Spring
Online: Not offered

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.

Availability

On Campus: Every term
Online: Every term

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.

Availability

On Campus: Fall and Spring
Online: Every term

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.

Availability

On Campus: Every term
Online: Every term

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.

Availability

On Campus: Fall and Spring
Online: Not offered

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.

Availability

On Campus: Every term
Online: Every term

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.

Availability

On Campus: Fall and Spring
Online: Fall and Spring

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. Topics include new model risks introduced by Generative Artificial Intelligence (GenAI) and Large Language models (LLMs). 

Availability

On Campus: Fall and Spring
Online: Not offered

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.

Availability

On Campus: Spring
Online: Spring

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.

Availability

On Campus: Fall and Spring
Online: Not offered

A study of financial, economic, and engineering disasters from a common systems engineering perspective, to better understand and model risk in complex process systems. Course topics will introduce process systems engineering concepts and tools such as digraphs, fault trees, probabilistic risk assessment, HAZOP, FMEA, etc., for modeling enterprise-wide risk. We will develop risk models and analyze them for real-life inspired examples and case studies. Several disaster case studies will also be discussed.

Availability

On Campus: Not offered
Online: Spring  

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.

Availability

On Campus: Every term
Online: Every term

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.

Availability

On Campus: Fall and Spring
Online: Fall and Spring (starting Fall 2026)

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.

Availability

On Campus: Every term
Online: Fall and Spring

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.

Availability

On Campus: Every term
Online: Every term

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.

Availability

On Campus: Fall
Online: Fall and Summer

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.

Availability

On Campus: Not offered
Online: Fall B and Summer B

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

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

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

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

Availability

On Campus: Summer A
Online: Not offered

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

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

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

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

Availability

On Campus: Not offered
Online: Summer B