Master of Finance

Optional Concentrations

MFin students can deepen their expertise by pursuing a concentration in one of five areas: Capital Markets, Corporate Finance, Financial Engineering, Climate and Social Impact Finance, or FinTech. While concentrations are not required for graduation, they allow students to tailor their academic experience to specific career goals and areas of interest.

Concentrations require two additional courses beyond the MFin degree requirements. Courses cannot be counted toward both degree requirements and concentration requirements unless specifically noted. Concentration courses must be taken for a letter grade. If you choose to pursue a concentration, please note the following:

  • The feasibility of completing a concentration depends on class schedules and faculty availability in a given academic year.
  • No substitutions are permitted for the approved list of courses.
  • Students may not take more than 66 credit units per term.

Register your Interest

Capital Markets (CM)

Focuses on global financial markets and investment instruments. Includes electives in valuation, M&A, negotiation among other topics.

  • Required Courses

    • Proseminar in Capital Markets/Investment Management
    Or
    • Finance Lab; asset management focused project

    Note: Students pursuing the Capital Markets concentration will be required to fulfill their Action Learning requirement by either taking Proseminar in Capital Markets/Investment Management, or by pursuing an asset management focused Finance Lab project, approved by MFin leadership.

  • Electives A

    Choose at least one course from this group

    • Advanced Corporate Finance
    • Options & Futures Markets
    • Fixed Income Securities & Derivatives
    • Quantitative Investment Management
    • International Capital Markets [Not offered in AY 26-27

  • Electives B

    For the second elective, you may either choose another course from Electives A or one from the group below.

    • Financial Data Science & Computing
    • Alphanomics
    • Financial Market Dynamics & Human Behavior [Not offered in AY 26-27]
    • Crypto Finance
    • Modeling with Machine Learning: Financial Technology
    • Advanced Data Analytics and Machine Learning in Finance 

Climate and Social Impact Finance (CSIF)

Explores financial solutions for environmental and social challenges. Covers market dynamics, impact investing, machine learning and more.

  • Required

    • Finance Lab; climate/sustainability/impact focused project
    • Climate and Social Impact Investing

    Note: Students pursuing the Climate and Social Impact Finance (CSIF) concentration must enroll in a climate/sustainability/impact focused project as approved by MFin leadership.Additionally, only Finance Lab; climate/sustainability/impact focused project counts towards the degree and concentration requirements.

  • Electives (Choose One)

    • Energy Market Dynamics in a Decarbonizing Economy
    • Entrepreneurial Finance and Venture Capital
    • Financial Engineering
    • Healthcare Finance [not offered in AY 26-27]
    • System Dynamics for Business and Policy
    • Modeling with Machine Learning: Financial Technology
    • Advanced Data Analytics & Machine Learning in Finance
    • Sustainable Supply Chain Management
    • Machine Learning for Sustainable Systems

Corporate Finance (CF)

Examines corporate financial management and value-maximizing strategies. Offers electives in entrepreneurial finance, M&A, derivatives among other topics.

  • Required Courses

    • Advanced Corporate Finance
    • Proseminar in Corporate Finance/Investment Banking/Private Equity
    Or
    • Finance Lab; corporate finance focused project

    Note: Students pursuing the Corporate Finance concentration will be required to fulfill their Action Learning requirement by either taking Proseminar in Corporate Finance/Investment Banking/Private Equity, or by pursuing a corporate finance focused Finance Lab project, approved by MFin leadership.

  • Electives

    Choose one course:
    • Entrepreneurial Finance and Venture Capital
    • Options & Futures Markets
    • Mergers, Acquisitions & PE
    • Healthcare Finance [not offered in AY 26-27]
    • Business Analysis Using Financial Statements

Financial Engineering (FE)

Centers on quantitative methods, derivatives, and risk management. Includes advanced topics in AI, machine learning, analytics and more.

  • Required

    • Advanced Mathematical Methods for Financial  Engineering
    • Financial Engineering
    • Advanced Analytics of Finance

    Note (Financial Engineering concentration only): Both Advanced Mathematical Methods for Financial Engineering & Advanced Analytics of Finance count towards MFin degree requirements as well as the FE concentration requirement. Either Asset Pricing or Advanced Asset Pricing counts towards the FE concentration requirement in lieu of Financial Engineering.

  • Electives (Choose One)

    • Machine Learning
    • Reinforcement Learning
    • Machine Learning Under a Modern Optimization Lens
    • Options & Futures Markets
    • Fixed Income Securities & Derivatives
    • International Capital Markets [not offered in AY 26-27]
    • Financial Data Science & Computing
    • Asset Pricing [Ph.D. Course]
    • Advanced Asset Pricing [Ph.D. Course]
    • Financial Market Dynamics & Human Behavior [not offered in AY 26-27]
    • Hands-On Deep Learning
    • Intensive Hands-on Deep Learning
    • Modeling with Machine Learning: Financial Technology
    • AI and Money
    • AI and Machine Learning Research in Finance
    • Advanced Data Analytics & Machine Learning in Finance

FinTech (FT)

Combines finance and technology with courses in venture capital, AI, and machine learning to name a few.

  • Required

    • Consumer Finance and FinTech

  • Electives (Choose One)

    • New Enterprises
    • Entrepreneurial Finance and Venture Capital
    • Financial Engineering
    • Crypto Finance
    • FinTech Ventures
    • Digital Revolution: From Foundations to Future Trends
    • Product Design and Development
    • AI and Money
    • Advanced Data Analytics and Machine Learning in Finance

* As of Summer 2026. Subject to change.

If you have questions, contact the MFin Program Office at mfin@mit.edu.