Offered jointly by the Institute of Mathematical Sciences and the Drucker School of Management, the Master of Science in Financial Engineering (MSFE) provides a flexible, interdisciplinary curriculum that allows you to tailor your studies to your professional goals. Its hallmark: a close integration of finance and mathematics.

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The MSFE program provides you the skills to create and evaluate complex financial products to help you become a strategic leader in the field. You will draw on tools from applied math, statistics, and financial and economic theory while integrating managerial concepts and applications. Our program ranks among the top financial engineering programs nationally and gives our graduates excellent preparation for careers in risk management, investment, banking, corporate finance, hedge funds, derivatives, and more.


Program Highlights
  • Learn from research faculty and experienced practitioners with expertise in areas such as risk management, analytics, and financial technology (FinTech) among others.
  • Expand your market value by adding a concentration in data analytics or fintech, or by pursuing a dual degree in mathematics.
  • Get practical experience with the Drucker Student Managed Fund and client-based projects through the Engineering & Computational Mathematics Clinic program.
  • Receive personalized career guidance from staff and faculty, as well access to a formal mentorship program with members of our MSFE Advisory Board.
  • Enjoy access to a Bloomberg terminal and discounted student memberships to the International Association for Quantitative Finance (IAQF).
  • This program is STEM designated, allowing international students who hold F-1 visas to apply for OPT work authorizations for a total of 36 months (an initial 1-year period and a 24-month OPT STEM extension) of paid work experience in the U.S. after graduation.
  • MSFE alumni go on to leadership roles in some of the most prominent financial firms and companies in the world, such as Goldman Sachs, Barclays, and AIG.

Program At a Glance

40 units

1.5–2 years

*Actual completion times will vary and may be higher, depending on full- or part-time course registration, units transferred, and time to complete other degree requirements.

Fall | Spring

MS in Financial Engineering

Featured Courses

MGT 332

Introduces the important intersection of financial services and technological innovation known as “FinTech”.

MGT 373
Financial Strategy & Valuation

Investigates the key financial choices of payout policy, securities issuance, including initial and secondary public offerings (IPOs and SEOs), value creation and mergers & acquisitions.

MGT 475
Selected Topics in Finance: Fixed Income

Examines the pricing theories, investing concepts and institutions of bonds and related interest-rate instruments including corporate debt, municipal debt, CDO’s, interest rate derivatives and bond portfolio management.

Quantum Computing and Applications

Introduces quantum mechanics, circuits, the Fourier transform and applications, quantum search algorithms, cryptography and annealing.

MATH 454
Statistical Learning

Teaches statisticians and financial engineering practitioners cutting-edge statistical learning techniques to deal with vast and complex data in fields ranging from biology and finance to marketing and astrophysics.

Math 462
Mathematics of Machine Learning

Covers theoretical foundations, algorithms, and methodologies for machine learning, emphasizing the role of probability and optimization and exploring a variety of real-world applications.

Areas of Concentration



The Financial Engineering Program at the Drucker School provides a flexible interdisciplinary curriculum. Forty units are required to complete the degree. Twelve of those units are elective courses, which you can choose from the options below.


Core Courses

Year 1: Fall
Year 1: Spring


Year 2: Fall



  • Entrepreneurial Finance
  • FinTech
  • Financial Strategy & Valuation
  • Selected Topics in Finance: Fixed Income
  • Numerical Analysis
  • Partial Differential Equations
  • Mathematical Modeling
  • Math Clinic (two-semester sequence)
  • Linear Statistical Models
  • Simulation
  • Numerical Methods for Finance
  • Data Mining
  • Discrete Mathematical Modeling
  • Bayesian Statistics
  • Statistical Learning
  • Mathematics of Machine Learning

Faculty & Research

  • Henry Schellhorn profile image

    Henry Schellhorn

    Professor of Mathematics
    Academic Director, Financial Engineering Program

    Research Interests

    Financial engineering, Credit risk, Stochastic analysis, Traffic models

  • Michael Imerman profile image

    Michael Imerman

    Associate Professor of Finance

    Research Interests

    Credit Risk Modeling, Banking, Financial Regulation, Risk Management, Securitization, FinTech Innovation

  • John Angus profile image

    John Angus

    Professor of Mathematics

    Research Interests

    Probability, Statistics, Computing, Algorithms, Navigation, Systems Engineering, Mathematical Finance

  • Marina Chugunova profile image

    Marina Chugunova

    Professor of Mathematics
    Director, Institute of Mathematical Sciences
    Program Director, PhD in Engineering & Computational Mathematics

    Research Interests

    Surfactant-driven thin film flows in biomedical applications; Nonlinear parabolic equations; Stability problems in fluid dynamics; Scientific computations; Applied operator theory; Sturm-Liouville problems

  • Gary Gaukler profile image

    Gary Gaukler

    Associate Professor of Management

    Research Interests

    Analytics, Innovation, Operations management, Management, RFID and sensors, Supply chain management, Technology

  • Ali Nadim profile image

    Ali Nadim

    Professor of Mathematics
    Joseph H. Pengilly Chair in Mathematics

    Research Interests

    Fluid Dynamics, Mathematical Modeling, Scientific Computing

  • Qidi Peng profile image

    Qidi Peng

    Research Associate Professor of Mathematics

    Research Interests

    Statistical inferences, Stochastic differential equations, Stochastic modeling, Simulation, Machine learning, Approximation theory, Graph theory

  • Allon Percus profile image

    Allon Percus

    Professor of Mathematics

    Research Interests

    Discrete optimization; Network models; Statistical physics; Random combinatorial structures

  • Andrew Nguyen profile image

    Andrew Nguyen

    Adjunct Professor of Mathematics

    Research Interests

    Stochastic processes, Statistics, Risk management, Financial derivatives, Actuarial sciences, Statistical software

  • Jay Prag profile image

    Jay Prag

    Clinical Full Professor
    Academic Director
    Faculty Coordinator, Center for Business & Management of the Arts

    Research Interests

    Corporate Finance, Investments, Economics of Strategy, Macroeconomics

Where You Can Find Our Alumni

Financial Engineering exchange program - view of Lausanne bridge and cathedral in background

Exchange Program

The Financial Engineering program offers its students the exclusive opportunity to participate in an exchange program at the University of Lausanne, located in the beautiful country of Switzerland.

Known for its banking system and situated at the heart of Europe, Switzerland offers our students the opportunity to participate in financial forums and engage in stimulating financial discussions, both with world-renowned faculty and seasoned professionals.

Classes offered in the exchange program are comparable to those offered at CGU. These courses include Asset Pricing, Econometrics, International Finance, Probability, Stochastic Processes, Applied Corporate Finance, and Derivatives.

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Violet Luxton

Assistant Director of Admissions
T: 909-607-7910