The highly customizable Master’s degree in Mathematics provides the essential training and skills in pure or applied math to compete for positions in education, industry, and government laboratories.

The Master’s program in Mathematics allows you to customize your coursework as you develop mastery in one or more areas of pure or applied math. Throughout the program, you will work closely with faculty with extensive backgrounds in applied math, computational science, statistics, financial engineering, industrial modeling, and related fields. Students may elect to receive either a Master of Arts (MA) or a Master of Science (MS) degree, each with identical requirements. Admission into the program requires a BA or BS in mathematics. Ideal preparation includes undergraduate coursework in multivariate/vector calculus, real analysis, differential equations, linear algebra, complex variables, numerical methods, and probability theory.

Program Highlights
  • 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.
  • You will gain first-hand experience in solving significant problems for industry and government clients through our internationally recognized Engineering & Industrial Applied Mathematics Clinic.
  • You can pursue a PhD in Mathematics in conjunction with another degree program at CGU, such as a Master of Public Health. You receive a diploma for each degree, “double count” some units from one program to the other, and decrease your required total units.

Program at a Glance

32 units

2 years

Cost Per Unit 2017–2018: $1,902

Fall | Spring

MA/MS in Mathematics

Featured Courses

MATH 294
Methods of Applied Mathematics

Studies derivation of classical equations of applied math including quasilinear hyperbolic equations, Laplace, Poisson and Helmholtz equations, among others, in various orthogonal curvilinear coordinate systems.

MATH 368
Numerical Methods for Matrix Computations

Examines numerical linear algebra and the matrix computations that arise in solving linear systems, least-squares problems, and eigenvalue problems for both dense and sparse matrices.

MATH 362
Numerical Methods for Differential Equations

Studies numerical integration of ordinary and partial differential equations through methods such as Runge-Kutta and Adams formulas and more.

MATH 388
Continuous Mathematical Modeling

Explores the construction, simplification, analysis, interpretation, and evaluation of mathematical models that shed light on problems arising in the physical and social sciences.

MATH 256
Stochastic Processes

Analyzes properties of independent and dependent random variables and examines conditional expectation among topics chosen from Markov processes and others.

MATH 306

Emphasizes nonlinear programming and numerical methods for finite-dimensional optimization problems with fairly smooth functions.

View All Mathematics Courses

Engineering & Industrial Applied Mathematics Clinic

CGU’s internationally recognized Engineering & Industrial Applied 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

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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 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
      • 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

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IMS partnerships expand your academic opportunities and include:

Faculty & Research

  • John Angus profile image

    John Angus

    Professor of Mathematics
    Director, Institute of Mathematical Sciences

    Research Interests

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

  • Marina Chugunova profile image

    Marina Chugunova

    Associate Professor of Mathematics
    Program Director, PhD in Engineering & Industrial Applied 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

  • 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 Assistant 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

  • Hrushikesh Mhaskar profile image

    Hrushikesh Mhaskar

    Research Professor of Mathematics

    Research Interests

    Approximation theory, Computational harmonic analysis, Mathematics of data, Query processing

  • Henry Schellhorn profile image

    Henry Schellhorn

    Associate Professor of Mathematics
    Academic Director, Financial Engineering Program

    Research Interests

    Financial engineering, Credit risk, Interest rate models

  • 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 Mathematics program

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Jake Campbell

Senior Assistant Director of Admissions and Veteran Outreach
T: 909-607-3024 (Direct)
T: 909-607-7811 (Central Admissions)