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Class Visit Options: Fall 2026
Residential MBA
Big Data Analytics for Business
Day of the Week: Wednesday
Time: 6:30pm – 9:15pm
Taught By: Dr. Mohammed Soltaniehha
Description: Every company is a “data company,” possessing vast quantities of data from operations, customers, products, and transactions. With big data comes significant challenges requiring specific infrastructure and skills. The analytics process, including deploying and using big data tools, is essential for organizations to improve efficiency, drive new revenue streams, and gain a competitive edge. This course addresses these challenges, discusses methods to overcome them, and common pitfalls in implementation and unnecessary analysis. Data analytics involves exploring, discovering, interpreting, and communicating meaningful patterns, whereas big data analytics focuses on analyzing data on a larger scale, where a single computer cannot process it timely. Distributed computation, the foundation of big data analytics, involves a network of computers processing data segments. This course teaches students to perform statistical data analysis of large datasets using distributed computation and introduces machine learning techniques and libraries that handle big data.
Business Modeling with Spreadsheets
Day of the Week: Tuesday
Time: 6:30pm – 9:15pm
Taught By: Dr. Fang Wan
Description: This course aims to sharpen students’ ability to conduct quantitative analyses of business problems. The primary focus is on problem formulation and analysis — identifying the key components of a decision problem, structuring it, translating it into a graphical chart, and then building the appropriate mathematical and spreadsheet models. These models are used to generate valuable qualitative and quantitative managerial insights. Students will be introduced to data management and decision tools such as Formula Diagrams, Linear Optimization, and Error Detection methodologies, as well as to Parametric Sensitivity Analyses. While each business problem is distinctive, a disciplined approach to problem solving can be incredibly useful across many career contexts. The concepts and exercises in this course will sharpen the student’s professional ability to structure a messy problem and do some disciplined analysis on it. Developing these modeling skills requires the opportunity to brainstorm, reflect, and practice it on a wide variety of problems. Hence, the course includes intensive team-centered workshop sessions where all students get hands-on practice working with a group of peers to frame various problems in appropriate analytical terms, develop a solution approach, and critically reflect on the results. Examples will be drawn from Strategy, Operations, Technology Management, Marketing, and Finance to expose students to the broad applications of the concepts and tools learned in this class. Many of the up- to-the-minute Excel techniques covered in the course are now considered standard in industry, and developing a good understanding of them will deepen the student’s ability to identify opportunities in which spreadsheet analytics can be used to improve performance, drive value, and support important decisions. Finally, students will learn the latest technologies for effectively linking spreadsheets to relational databases, and to manage reliably large scale spreadsheet development projects.
Creating Value through Operations & Supply Chain Management
Day of the Week: Wednesday
Time: 6:30pm – 9:15pm
Taught By: Larry Strauss
Description: Operations & Supply Chain Management is the core value generator in most companies – regardless of whether the company is delivering a product or providing a service. Having a basic understanding of how firms think about and configure their Supply Chain and how their Supply Chain supports the company’s broader business strategy – including the interaction between OSCM and Finance, Marketing, Information Systems, and Product Development – is critical for every manager who aspires to manage, diagnose problems, and/or improve a business. This course provides an introduction to the fundamental concepts of Operations & Supply Chain Management (“OSCM”), how businesses configure their Supply Chains to create and deliver value effectively and efficiently, and how various OSCM components interact with one another and other parts of the business.
Digital Strategy for Business Leaders
Day of the Week: Wednesday
Time: 6:30pm – 9:15pm
Taught By: Peter Howard
Description: A digital strategy is an organization’s roadmap for leveraging digital technologies – including artificial intelligence, cloud computing, data analytics, and emerging platforms – to innovate business models, enhance products and services, streamline operations, and foster meaningful interactions with customers, suppliers, and strategic partners. For business leaders, developing and executing a robust digital strategy is essential not only for competitiveness but also for resilience in a rapidly evolving market environment. This course equips students with practical tools and frameworks to effectively design, implement, and communicate digital strategies within complex organizations. Students will explore critical management practices such as agile project management, effective change management in digital transformations, strategic use of AI and data analytics, cybersecurity considerations, and financial modeling to evaluate digital investments. Through interactive case studies, simulations, and exercises, students will apply these concepts in practical contexts. Industry experts will provide insights into current challenges and opportunities, sharing real-world experiences and best practices. Instead of a traditional final exam, student teams will work collaboratively on projects to conceptualize, develop, present, and secure stakeholder support for their own comprehensive digital strategy initiatives.
Drugs, Devices, and Diagnostics: New Challenges, Strategies, and Execution
Day of the Week: Thursday
Time: 6:30pm – 9:15pm
Taught By: Dr. Conti Rena
Description: This course will examine issues and opportunities in life sciences focused on the pharmaceutical, biotechnology, medical devices sectors and the life sciences service industry supporting these sectors, through the eyes of the CEO. The course will investigate who manages these companies and what are the strategies that are used to build successful enterprises. Students will be introduced to individuals and institutions at every stage of the development cycle from idea generation and start-up fundraising to manufacturing, commercialization and global expansion. We will specifically look at key elements of strategy and the execution by examining companies, that have either succeeded or failed, by discussing the pros and cons of different approaches and teasing out the lessons one can derive from leaders in the field and case studies examining their approaches.
Entrepreneurship
Day of the Week: Wednesday
Time: 6:30pm – 9:15pm
Taught By: Dr. Greg Stoller
Description: The course is a comprehensive introduction to the entrepreneurial process from idea generation through venture launch and later growth. Initial lectures and case studies focus on idea generation and concept feasibility along with the skills, competencies and perspectives entrepreneurs must develop to manage the organization through each phase of development. Later lectures and cases emphasize the issues faced by entrepreneurs in scaling innovative enterprises; use of strategic alliances, attracting funding and managing investors, managing growth expansion and choosing among exit options.
Financial Management
Day of the Week: Thursday
Time: 6:30pm – 9:15pm
Taught By: Brian Regan
Description: The objective of this course is to introduce the students to the theory and practice of corporate finance, and to provide the students with a set of analytical tools necessary to answer the most important questions related to firms’ valuation and investment decision making first under certainty and then under uncertainty. The course can be divided into the following three building blocks: valuation, investment decisions, and the relation between risk and return.
Fundamentals of Nonprofit Management
Day of the Week: Tuesday
Time: 6:30pm – 9:15pm
Taught By: Catherine Gill
Description: The purpose of this course is to teach students about the distinctive challenges of managing high-performing organizations in the nonprofit sector. The course will cover a broad range of topics and it is intended to be a gateway course to the sector and to potential electives and pathways of future learning. The two major projects in the semester (one is individual, one in a team) offer students the chance to choose an area of interest to explore in depth. Other assignments challenge students to identify and analyze key indicators of nonprofit performance and to communicate effectively about those issues to selected stakeholders. A strong grounding in nonprofit accounting and financial management is extremely valuable and so we devote considerable attention to those topics. The course also addresses nonprofit marketing, evaluation, fundraising and revenue generation, growth strategy, impact investing, and the confluence of charity and commerce. The course is oriented to practice and will engage experts in the field.
Health Sector Consulting
Day of the Week: Tuesday
Time: 6:30pm – 9:15pm
Taught By: Dr. Anita Carson
Description: This is an applied consulting project course that aims to develop reflexive practitioners who can elicit client requirements, translate requirements into a problem statement and develop actionable solutions that meet client needs. The course uses a mix of case studies, individual memos and team project deliverables to systematically apply skills developed over the course of the MBA to solve real-world health sector problems. Students work on the consulting assignment in teams of up to four students based on having a shared interest in a prospective consulting project. These projects are curated in partnership with sponsor organizations to be executable within the framework of an academic semester. Projects in the past have ranged from improving the departmental revenue cycle within an academic medical center, developing an international pricing strategy for the introduction of a new product by a pharmaceutical company, to improving safety culture at a large hospital. These projects all have active involvement of the project sponsors who provide access to their organizations and provide ongoing feedback over the lifecycle of the consulting engagement.
Health Sector Issues and Opportunities
Day of the Week: Wednesday
Time: 6:30pm – 9:15pm
Taught By: Ned Rimer
Description: This course provides a dynamic introduction to the health sector, beginning with the burden and distribution of disease and current patterns of expenditures. While the emphasis will be on the American system, a global context will be developed. The basic elements of insurance and payment, service delivery, and life sciences products will be described, and put in the context of the unique economic structure of the sector. The intense challenges of the sector will be explored, as well as both the ethical issues presented and the opportunities that emerge. Public policy and technological and practice development as drivers of change will be addressed throughout.
Purpose-Led Marketing
Day of the Week: Thursday
Time: 6:30pm – 9:15pm
Taught By: Remi Trudel
Description: Globalization, increasing transparency in business operations and the prevalence of social media have forever changed the way stakeholders view and interact with organizations. Societal and business imperatives are not only often considered compatible; they can be increasingly viewed as one and the same. People today often communicate, organize and engage based on mutual interests, and, generally, place greater trust in organizations and individuals that work for a better world. Marketing has often been referred to as the “science of sales.” Whether you are selling a product, an intervention or an idea, it can be a powerful tool for advancing social change in today’s dynamic environment. The strategic integration of a relevant social purpose into a product, business or nonprofit organization through brand-building citizenship activities can drive consumer and donor recall, consideration, acquisition, retention and propensity to recommend. However, these efforts do not usually constitute a “silver bullet” and may not be the best solution to a business problem or societal need at all. In the worst cases, ill-conceived citizenship marketing strategies can result in damaging consequences. Practitioners must be pragmatic when engaging in marketing social change. Understanding how to apply best practice, identify opportunities, address challenges, engage stakeholders and innovate strategically are essential skills in this rapidly evolving sector. The purpose of this course is to provide students with an in-depth understanding of how marketing principles can be applied to create both short-term and lasting social change. Students will explore dimensions of the modern landscapes of brand, corporate and nonprofit “citizenship” and how they relate to marketing. Areas of study include: cause-related marketing and cause branding; nonprofit branding and social movements, as well as corporate social responsibility and shared value creation.
Strategy Implementation
Day of the Week: Tuesday
Time: 6:30pm – 9:15pm
Taught By: Christopher Carter
Description: Gain the skills and know-how to manage up and across your organization, passing the normal organizational tests along the way from technical expert to cross-functional integrator to directing the future course of your organization. This is strategy implementation for the middle manager who needs to 1) size-up the situation and 2) determine how to gain the power needed to achieve their objectives. One of the qualitative factors that will be explored in great detail is personal style choice vis a vis different stakeholders and organizational politics and the resultant perceptions of you and your programs. Students will study both successful and less-successful managers through cases and readings, honing their own, personal managerial style.
Speciality Master’s
MS in Finance (MSF) Class Offerings
Introduction to Corporate Finance
Section 1
Day(s) of the Week: Tuesday
Time: 3:30pm – 6:15pm
Instructor: Francisca Rebelo
Section 2
Day(s) of the Week: Thursday
Time: 3:30pm – 6:15pm
Instructor: Richard Herron
Description: The objective of this course is to introduce students to the theory and practice of corporate finance, and to provide students with a set of concepts and tools necessary to answer the most important questions related firms’ valuation as well as investment and financing decisions, both under certainty and under uncertainty. The course covers time value of money, free cash flow, net present value, risk-adjusted discounting using the capital asset pricing model, weighted average cost of capital, effects of financial leverage on firm value, and valuation methods with leverage to determine the value of a project or firm.
Investment and Portfolio Analytics
Section 1
Day(s) of the Week: Monday
Time: 11:15am – 2:00pm
Instructor: Eric Jacquier
Section 2
Day(s) of the Week: Monday
Time: 2:30pm – 5:15pm
Instructor: Eric Jacquier
Description: After a quick description of the evolution of Finance and the industry, we study the cost of trading. Then we introduce the utility framework, insurance and risk concepts, portfolio theory, CAPM, the theory of active management, index and factor models, the APT, performance evaluation and the efficient market hypothesis. We implement the statistical analytics concepts (with the R package, no prior knowledge required) common in quantitative portfolio management to analyze financial returns and demonstrate the concepts learnt.
MS in Mathematical Finance & Financial Technology (MSMFT) Class Offerings
Accounting for Risk and Portfolio Management
Day(s) of the Week: Monday/Wednesday
Time: 2:30pm – 3:45pm
Instructor: Sylvia Singleton
Description: The objective of this course is to provide students who have no previous accounting knowledge with the accounting tools necessary for a better understanding of a firm’s fundamentals, to enable a meaningful economic assessment of the firm’s risk and potential return.
Advanced Derivatives
Day(s) of the Week: Wednesday
Time: 6:30pm – 9:15pm
Instructor: Jerome Detemple
Description: This course provides a comprehensive and in-depth treatment of valuation methods for derivative securities. Extensive use is made of continuous time stochastic processes, stochastic calculus and martingale methods. The main topics to be addressed include (i) European option valuation, (ii) Exotic options, (iii) Multiasset options, (iv) Stochastic interest rate, (v) Stochastic volatility, (vi) American options and (vii) Numerical methods. Additional topics may be covered depending on time constraints.
Corporate Risk Management
Day(s) of the Week: Monday
Time: 6:30pm – 9:15pm
Instructor: Qingshuo Song
Description: This course is an introduction to modern methods of risk management. The first half of the course focuses on market risk. Here, lectures cover risk measures (such as Value at Risk and Expected Shortfall), with a focus on computation of such measures in a dynamic, multi-asset environment using real-world data. In particular, students will learn to compute, back-test, and account for risk measures when both monitoring and constructing portfolios. Additionally, lectures cover scenario analysis, stress testing, and the measurement of severe tail risk via extreme value theory. In the second half of the course, lectures cover alternate types of risk. These include operational, liquidity, model, and counter-party credit risk. In particular, students will derive formulas for the valuation adjustments due to counter-party default. The approach to the topic is quantitative. The course is ideal for students with strong quantitative backgrounds who are seeking to understand issues pertaining to risk management and to master modern methods and techniques of risk control.
Credit Risk
Day(s) of the Week: Wednesday
Time: 8:00am – 10:45am
Instructor: Eugene Sorets
Description: The derivatives market has experienced tremendous growth during the past decade as credit risk has become a major factor fostering rapid financial innovation. This course will provide an in-depth approach to credit risk modelling for the specific purpose of pricing fixed income securities and credit-risk derivatives. The course will explore the nature of factors underlying credit risk and develop models incorporating default risk. Types and structures of credit-derivatives will be presented and discussed. Valuation formulas for popular credit-derivatives will be derived. Numerical methods, for applications involving credit derivative structures and default risks, will be presented.
Deep Learning and Statistical Learning
Day(s) of the Week: Thursday
Time: 12:30pm – 3:15pm
Instructor: Max Reppen
Description: This course explores algorithmic and numerical schemes used in practice for the pricing and hedging of financial derivative products. The focus of this course lies on data analysis. It covers such topics as: stochastic models with jumps, advanced simulation methods, optimization routines, and tree-based approaches. It also introduces machine learning concepts and methodologies, including cross validation, dimensionality reduction, random forests, neural networks, clustering, and support vector machines.
Dynamic Portfolio Theory
Day(s) of the Week: Thursday
Time: 6:30pm – 9:15pm
Instructor: Jerome Detemple
Description: This course explores algorithmic and numerical schemes used in practice for the pricing and hedging of financial derivative products. The focus of this course lies on data analysis. It covers such topics as: stochastic models with jumps, advanced simulation methods, optimization routines, and tree-based approaches. It also introduces machine learning concepts and methodologies, including cross validation, dimensionality reduction, random forests, neural networks, clustering, and support vector machines.
Fundamentals of Finance
Day(s) of the Week: Tuesday
Time: 6:30pm – 9:15pm
Instructor: Jerome Detemple
Description: This course covers such topics as: financial markets (bonds, stocks, derivative securities, forward and futures contracts, exchanges, market indices, and margins); interest rates, present value, yields, term structure of interest rates, duration and immunization of bonds, risk preferences, asset valuation, Arrow-Debreu securities, complete and incomplete markets, pricing by arbitrage, the first and the second fundamental theorems of Finance, option pricing on event trees, risk and return (Sharpe ratios, risk premia), and the Capital Asset Pricing Model. (Mathematical Finance courses are reserved for students enrolled in the Mathematical Finance program.)
Introduction to Stochastic Calculus
Day(s) of the Week: Wednesday
Time: 12:50pm – 3:35pm
Instructor: Scott Robertson
Description: This class is an introduction into Stochastic Calculus (a branch of mathematics that extends classical calculus to handle systems affected by random noise & uncertainty)
Programming for Mathematical Finance
Day(s) of the Week: Thursday
Time: 6:30pm – 9:15pm
Instructor: Bin Shi
Description: In-depth discussion of object-oriented programming with Python and C++ for finance and data applications. Topics include built-in-types, control structure, classes, constructors, destructors, function overloading, operator functions, friend functions, inheritance, and polymorphism with dynamic binding. Case study looks at the finite differences solutions for the basic models of financial derivatives; as well as the design and development of modular, scalable, and maintainable software for modeling financial derivatives. (Mathematical Finance courses are reserved for students enrolled in the Mathematical Finance program.)
Statistics for Mathematical Finance
Day(s) of the Week: Monday
Time: 8:00am – 10:45am
Instructor: Eric Jacquier
Description: This course covers the fundamental principles of statistics and econometrics. It is mandatory for all tracks of the MSc. program. The course first reviews the needed concepts in probabilities, properties of random variables, the classic distributions encountered in Finance. Then, we cover the principles of random sampling, properties of estimators, e.g., the standard moment estimators (sample mean, variance, etc.). The next major topic is the regression analysis. We study the OLS and GLS principles, review their properties, in the standard case and when ideal assumptions are not correct. The course ends with a study of time series ARMA models and volatility models such as GARCH and Risk-Metrics. The course makes intensive use of the R package.
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