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 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

UNITS
32 units

COMPLETION TIME
2 years

TUITION
Cost Per Unit 2017–2018: $1,902

COURSES BEGIN
Fall | Spring

DEGREE AWARDED
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

Optimization

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

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