Santa Clara University

Master of Science Program

The Applied Mathematics Program is open to those students who have earned a B.S. degree in Engineering, Science, or Mathematics, provided the student has completed a program in undergraduate mathematics that parallels the program of the mathematics major at Santa Clara University. The undergraduate program at Santa Clara includes calculus and differential equations, abstract algebra, linear algebra, advanced calculus and/or real analysis, and a minimum of five upper-division courses chosen from the areas of analysis, complex variables, partial differential equations, numerical analysis, logic, probability, or statistics.

Courses for the master's degree must result in a total of 45 units. These units may include courses from other fields with permission of the Applied Mathematics Department advisor. There is a requirement of a minimum of 12 quarter units in 300-level courses.

Specialization Areas

• Applied complex analysis
• Applied numerical analysis
• Cryptology
• Probability
• Statistics
• Stochastic processes

Career Opportunities
Students who earn a Master of Science degree in Applied Mathematics gain knowledge in mathematics and statistics and learn how to apply this knowledge to tackle problems in engineering and other fields. Graduates find employment as

• Industrial mathematicians, scientists, and engineers
• Actuaries
• Researchers
• Consultants
• Community college instructors

 Concentration in Mathematical Finance (within the Master of Science Program)

For further information please consult with the chair of the department.

Required Components for Concentration:

ACTG 300 Financial Accounting
ACTG 303 Corporate Financial Reporting or 319 Financial Statement Analysis
ECON 401 Economics for Business Decisions
FNCE 451 Financial Management
FNCE 455 Investments
FNCE 474 Risk Management with Derivative Securities
FNCE 696 (cross-listed as AMTH 367 and MATH 196) Mathematical Finance
AMTH 210 and 211 (or 212) Discrete and Continuous Probability
AMTH 220 and 221 Numerical Analysis
AMTH 245 and 246 (or 247) Linear Algebra
AMTH 313 Time Series Analysis
AMTH 344 Linear Regression
AMTH 362 Stochastic Processes I
AMTH 374 Partial Differential Equations I

Any additional units required to meet the engineering graduate core

Recommended, but not Required, Components for Concentration:

AMTH 358 Fourier Transforms
AMTH 363 Stochastic Processes II
FNCE 484 Financial Engineering
FNCE 712 Monte Carlo Simulation
FNCE 710 Default Modeling
AMTH 397 Master's thesis or project