The M.S. Applied Mathematics Program is designed for students who wish to obtain good training in applied mathematics. Its curriculum is designed in such a way that graduates of the program can either work in a research and development institution or proceed to the Department’s Ph.D. Mathematics program.

The program has the following four areas of concentration:

Optimization and Approximation

Numerical analysis of Differential Equations

Mathematics in Life and Physical Sciences

Mathematics of Finance

Admission into the M.S. Applied Mathematics Program requires:

a bachelor’s degree from a recognized institution of higher learning

completion of Advanced Calculus, Abstract Algebra and Linear Algebra, Matrices and Complex Analysis

satisfaction of additional university requirements such as a health clearance and other special admission requirements

Options for the Program:

Thesis Option – 24 units formal graduate courses, 1 unit graduate seminar, thesis

Non-Thesis Option – 33 units formal graduate courses, 1 unit graduate seminar, comprehensive and oral examination

Every candidate for the M.S. Applied Mathematics Program requires the completion of the following core courses:

Math 211 (Linear Algebra)

Math 220.1 (Theory of a Function of a Real Variable I)

Math 271.1 (Numerical Analysis I)

In addition to the core courses , the required courses of the four area listed below must be completed:

Optimization and Approximation Track

Math 222 (Approximation Theory)

Math 280 (Linear Programming)

three (3) additional courses which may be chosen from the following: Math 288 (Numerical Optimization), Math 281 (Nonlinear Programming), Math 221 (Partial Differential Equations), Math 250 (Probability Theory), Math 271.2 (Numerical Analysis II), and other relevant courses upon the approval of the adviser.

Numerical Analysis of Differential Equations Track

Math 221 (Partial Differential Equations)

Math 271.2 (Numerical Analysis II)

three (3) additional courses which may be chosen from the following: Math 229 (Functional Analysis), Math 288 (Numerical Optimization), Math 222 (Approximation Theory), Math 224 (Control Theory), Math 281 (Nonlinear Programming), and other relevant courses upon the approval of the adviser.

Mathematics in Life and Physical Sciences Track

Math 235 (Mathematics in Population Biology)

Math 236 (Mathematics in Biological Processes)

three (3) additional courses which may be chosen from the following: Math 221 (Partial Differential Equations), Math 288 (Numerical Optimization), Math 271.2 (Numerical Analysis II), Math 229 (Functional Analysis), Math 250 (Probability Theory), and other relevant courses upon the approval of the adviser.

Mathematics of Finance

Math 265 (Stochastic Calculus)

Math 266 (Mathematical Finance)

three (3) additional courses which may be chosen from the following: Math 288 (Numerical Optimization), Stat 226 (Applied Multivariate Analysis), Stat 225 (Time Series Analysis, Math 250 (Probability Theory), and other relevant courses upon the approval of the adviser.

Math 296 (Graduate Seminar)