MINORS IN THE DEPARTMENT OF MATHEMATICS AND STATISTICS

The department offers several minors and a concentration for majors in other disciplines.

Liberal arts minor in mathematics

This minor is available to all students except those majoring within the department or in the School of Engineering and Computer Science. Twenty credits are required, chosen from MTH 155, 254, 27 (or 256)5; APM 255 (or 257), 263; STA 226; MOR 242, or any 300-400 level courses labeled MTH, APM, MOR or STA, except MTH 497. Each course used to satisfy the minor requirement must be completed with a grade of at least 2.0.

Secondary teaching minor in mathematics

To qualify for this minor, students must take 28 credits, consisting of MTH 154-155, APM 263, STA 226, MTH 302, MTH 361, and SED 426, with a grade of at least 2.0 in each, and an average of at least 3.00.

Minor in applied mathematics

This minor is designed for students majoring in the School of Engineering and Computer Science. Twenty-two credits are required, with a grade of 2.0 or better in each: MTH 254, 275 (or 256), 302, either 452 or 475; STA 226 (or another statistics course approved by the coordinator); and one course chosen from among APM 255 (or 257), 263, MOR 242, or any 3- or 4-credit 300-400 level courses labeled MTH, APM, MOR or STA, except MTH 497.

Concentration in applied statistics

There are two variations of this concentration. For students in the School of Engineering and Computer Science, the requirements are STA 226 (or another approved introductory statistics course), STA 322, 323, and 324, with an average grade of 2.0 or better. For other students, the requirements are one course at the introductory level (STA 226, QMM 250, PSY 251, or SOC 203), STA 322, STA 323 or 324, and one 400-level course in the student's major, approved by the University Committee on Applied Statistics (typically a quantitatively oriented course or research project, using the statistical knowledge gained in the previous coursework).
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Last updated: August 24, 2006. Send comments or corrections to Professor Grossman