This emphasis is designed to train the student in those areas of mathematics that may be applied to formulate and solve problems in other disciplines. The program is designed to qualify the student for employment as an applied mathematician, but the graduate would be well qualified for graduate study in pure or applied mathematics. The requirements include courses in statistics, computer programming and both theoretical and applied mathematics. The student also takes at least 12 units of a science in order to acquire some knowledge of a field to which mathematics can be applied. This will provide a good background for employment or for graduate work in applied mathematics or in that science. For example, a math major with 4 upper division courses in Economics would be able to pursue graduate work in Economics.

**Preparation for the Major** **and Additional Coursework Required**

Three semesters of Calculus (Math 150,151 and 252); Math Software Workshop (Math 242); Discrete Mathematics (Math 245); Linear Algebra (Math 254); Statistical Principles and Practices (Stat250) for a total of 24 units. Some lower division courses will probably be prerequisite to science courses applied to the major.

**Major **

A minimum of 36 upper division units to include Math 337, 534A, 524 or 543, 532 or 534B; at least 6 units selected from Math 521A, 525, 531, 532, 537; 12 units from a science to which mathematics may be applied (these should be from a single science and must be approved by the B.S. adviser); and six units of electives in computer science, mathematics, or statistics, excluding Math 302, 303, 311, 312, 313, 315, 342A, 342B, 413, 414, 509, 510, Stat 357. Students must complete an outline for the major and file a copy signed by an adviser with the Office of the Registrar.

For more information on any of the BA/BS degrees contact the Mathematics Programs Advisor:

Dr. Carmelo Interlando, GMCS 581

interlan@mail.sdsu.edu

Dr. Joseph Mahaffy, GMCS 593

jmahaffy@mail.sdsu.edu

Emphasis in Applied Mathematics

Emphasis in Computational Science