In recent years there have been great changes in the global finance industry, leading to enormous expansion in the financial sectors in many countries. One essential ingredient in this growth has been the introduction of sophisticated mathematical tools, for example, the Black-Scholes theory for pricing derivative securities. This has led to growth in the employment of mathematicians by banks and investment houses. The degree program at SDSU is designed to train students in this area. It includes relevant courses in computing, probability and statistics, finance and economics and "applicable mathematics" (see above). Students will be well prepared for the graduate programs in mathematical finance which have popped up in the nation's financial centers. This emphasis is designed to train students for work in the field of financial mathematics, focusing on derivative instruments and risk management. The graduate would also be highly qualified for graduate study.

Three semesters of Calculus (Math 150,151 and 252), Math Software Workshop (Math 241), Discrete Mathematics (Math 245), Linear Algebra (Math 254), Introduction to Computer Programming (CS 107), Elem Statistics for Business (Stat 119) or Statistical Principles and Practices (Stat 250), Accountancy 201, and Economics 101, 102, a total of 35 units. The student must complete these courses before being allowed to register for the upper division finance courses.

A minimum of 39 upper division units to include Mathematics 337 (Differential Equaitons), 524 (Linear Algebra), 531(Partital Differential Equations), 544, 562, 580, 581, Statistics 551A or 550, and 551B or 570, Finance 323, 326 or Economics 490, Finance 327, 329 or 421. Student must complete an outline for the major and file a copy signed by an adviser with the Office of the Registrar.

Emphasis in Applied Mathematics
Emphasis in Computational Science
Emphasis in Science