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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. You will have the opportunity to gain first-hand experience in solving significant problems for industry and government clients through our internationally recognized Engineering & Computational Mathematics Clinic.

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. 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 at a Glance

UNITS
32 units

ESTIMATED COMPLETION TIME*
2 years

*Program completion times may vary depending on course registration, units transferred, and time to complete other degree requirements.

COURSES BEGIN
Fall | Spring

DEGREE AWARDED
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 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.

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
Optimization

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

View All Mathematics Courses

Curriculum

Degree Requirements
A minimum of eight courses (32 units) of graduate math coursework is required, at least five of which (20 units) must be at the 300-level or higher.

Students who lack the prerequisite undergraduate coursework may be asked to complete more than 32 units. At least 20 units of coursework must be gamma courses (300-level and above). A grade of B- or above must be earned in gamma courses.

Students in the master’s program in mathematics, computational and applied mathematics, and statistical sciences may convert one 200-level (beta) course to gamma credit. At the discretion of the IMS Director, in consultation with the student’s academic advisor, more than one conversion may be approved in exceptional cases.

Accelerated Degree Option

Undergraduate students at the Claremont Colleges (Pomona, Scripps, Claremont McKenna, Harvey Mudd, Pitzer) can obtain a graduate degree on an accelerated track through the Claremont Graduate Scholars Program, working toward the master’s requirements simultaneously with the completion of an undergraduate degree. Up to 16 units of transferable credit can be earned upon admission to one of our master’s degree programs. Students are eligible for a minimum fellowship award of $6,500 per semester at CGU, based on 12 units of enrollment. Learn how to apply

Recent alumni of the Claremont Colleges (Pomona, Scripps, Claremont McKenna, Harvey Mudd, Pitzer) can obtain a graduate degree on an accelerated track through the Claremont Graduate Scholars Program. For alumni who have graduated within the past five years, up to 12 units of transferable credit can be earned upon admission to one of our master’s degree programs. See program-specific details for restrictions on applicable coursework. Students are eligible for a minimum fellowship award of $6,500 per semester at CGU, based on 12 units of enrollment. Learn how to apply

Resources

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

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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 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

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Partnerships

IMS partnerships expand your academic opportunities and include:

Faculty & Research

Extended Faculty

In addition to CGU core faculty, you will have access to Math faculty across the Claremont Colleges, including Pomona, Scripps, Harvey Mudd, Claremont McKenna, Pitzer, and Keck Graduate Institute, as well as faculty who are part of the W.M. Keck integrated science department.

View Full Faculty List

Harvey Mudd
View Math Faculty

Pomona
View Math Faculty

Claremont McKenna
View Math Faculty

Scripps
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Pitzer
Bahar Acu
David Bachman
Jemma Lorenat

W.M. Keck Integrated Science Department
(Claremont McKenna, Pitzer, Scripps)
Adam Landsberg
John Milton

Keck Graduate Institute
Animesh Ray
James Sterling

Where You Can Find Our Alumni

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