Applied Statistics Minor

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The statistics minor prepares students with necessary foundations of statistical methods that are essential in modern statistical sciences. Through this program, students will build necessary mathematical and computational skills over various disciplinary fields. Significant statistical programming skills will be introduced.

Applied Statistics Minor

36-41 credits

Students must meet all applicable requirements below with a grade C- or above.

Required (28 credits)

STAT 243Z - Elementary Statistics I 4 credits
MTH 251 - Calculus I 4 credits
MTH 252 - Calculus II 4 credits
MTH 261 - Linear Algebra 4 credits
MTH 361 - Statistical Methods I 4 credits
MTH 461 - Statistical Methods II 4 credits each

Choose one from the following:

CS 256 - Computer Science I 4 credits
CH 375 - Computational Methods for Scientists 3 credits
MTH 343 - Applied Statistics 4 credits
Or an approved course

Electives (8-12 credits)

Choose 2 (choose 3 if math majors) from the following. Up to one can be chosen in the lower division.

BA 282 - Applied Business Statistics 4 credits
PSY 225 - Methods, Statistics, and Applications 4 credits and PSY 225L
MTH 343 - Applied Statistics 4 credits
CH 375 - Computational Methods for Scientists 3 credits
ES 349 - Maps, Cartography, and Geospatial Technology 5 credits and ES 349L
BA 420 - Applied Data Science 4 credits
OAL 425 - Research Methods in OAL 4 credits
EC 332 - Quantitative Methods and Application 4 credits
SOAN 327 - Quantitative Data Analysis 4 credits

Total number of credits:

36-37 credits for non-math majors, 40-41 credits for math majors (Math, Financial Math, and Math-CS)