The dual Master of Science in Financial Engineering (MSFE)/MS in Mathematics program grounds you in rigorous mathematics and finance scholarship, enhances your quantitative knowledge, and broadens your professional opportunities.

Get the benefits of two strong programs rolled into one. This joint program integrates a broad-based curriculum taught by faculty-scholars from CGU’s Institute of Mathematical Sciences and the Drucker School of Business. The MS in mathematics provides a fundamental understanding of broad areas of mathematics along with expertise in a major field of interest, such as computational systems. In the MSFE program, you’ll focus on a substantial mathematics and finance curriculum that will give you the skills to evaluate and design complex financial products and become a strategic financial leader. This degree provides excellent preparation for careers in risk management, investment, banking, corporate finance, hedge funds, derivatives, and more.

Program Highlights
  • The MSFE program ranks among the top 30 financial engineering programs in the country.
  • MSFE alumni work at well-known financial organizations, including Goldman Sachs and Barclays.
  • Because the Institute of Mathematical Sciences is part of the Claremont Center for the Mathematical Sciences, you’ll have access to one of the largest mathematical science communities in California.
  • 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.
Program Details

Program at a Glance

52-60 units

1.5 years

*This estimate assumes full-time registration and pursuit of the degree. 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, MS in Mathematics

Featured Courses

MATH 231
Principles of Real Analysis I

Explores countable sets, least upper bounds, and metric space topology including compactness, completeness, connectivity, and uniform convergence.

MATH 232
Principles of Real Analysis II

Undertakes a rigorous study of calculus in Euclidean Spaces, including multiple Riemann Integrals, derivatives of transformations, and the inverse function theorem.

MATH 235
Complex Analysis

Investigates algebraic properties of complex numbers, topological properties of the complex plane, differentiation and holomorphic functions, and more.

MGT 335
Corporate Finance

Develops understanding of financial decision making—including investment decisions, financing decisions, and their interaction—and examines the underlying framework of corporate finance, including valuation, market efficiency, portfolio theory, agency costs, and information costs.

MGT 391
Introduction to Risk Management

Introduces risk management from the perspective of both financial and non-financial institutions.

MATH 252
Statistical Theory

Covers in depth the mathematics behind most of the frequently used statistical tools, such as point and interval estimation, hypothesis testing, goodness of fit, ANOVA, linear regression.

Areas of Concentration


Additional Program Requirements

New students are required to show competency in financial accounting and probability prior to enrollment in coursework via the following options:

  • Have taken a financial accounting course in their undergraduate coursework or recently online
  • Pass a probability waiver exam or have taken a probability course in their undergraduate coursework or recently in a community college, college, or university
  • Application due prior to completing 16 units in MSFE


Engineering & Computational Mathematics Clinic
CGU’s internationally recognized Engineering & Computational Mathematics Clinic offers first-hand experience solving significant mathematical problems for industry and government clients.

Recent projects include:

  • Optimizing Transmission of Renewable Energy–Southern California Edison
  • Hardware-Software Codesign–Los Alamos National Laboratory
  • Data Cohort Analysis–Fair Isaac
  • Optimizing Smart Power Grids–Los Alamos National Laboratory
  • Credit Risk in a Network Economy–Fitch Rating
  • Isogeometric Analysis–Boeing
  • Gate to Base Capacitance Modeling for Nanoscale MOSFETs–USC Information Sciences Institute
  • Practical Semi-Analytic Model for the Substrate Current of Short Channel MOSFETs with LDDs–USC Information Sciences Institute

Learn More

Claremont Center for the Mathematical Sciences
Through the Claremont Center for the Mathematical Sciences (CCMS), you’ll have access to one of the largest mathematical science communities in California, as well as to workshops, conferences, and seminars, including:

  • Southern California Analysis Seminar
  • Math-in-Industry Workshop
  • Michael E. Moody Lecture Series
  • History and Philosophy of Mathematics Seminar
  • Claremont Mathematics Weekend
  • CCMS Software Lab
  • and more

Learn More

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

  • Hrushikesh Mhaskar profile image

    Hrushikesh Mhaskar

    Research Professor of Mathematics

    Research Interests

    Approximation theory, Computational harmonic analysis, Machine learning, Signal processing

  • Ali Nadim profile image

    Ali Nadim

    Professor of Mathematics
    Joseph H. Pengilly Chair in Mathematics

    Research Interests

    Fluid Dynamics, Mathematical Modeling, Scientific Computing

  • Andrew Nguyen profile image

    Andrew Nguyen

    Adjunct Professor of Mathematics

    Research Interests

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

  • 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

  • Claudia Rangel-Escareño profile image

    Claudia Rangel-Escareño

    Adjunct Professor of Mathematics

    Research Interests

    Probabilistic methods in computational biology, Statistical inference of genetic networks, Bioinformatics

Where You Can Find Our Alumni

Request information about the Financial Engineering | Mathematics program

  • This field is for validation purposes and should be left unchanged.