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Courses from multiple other disciplines - such as economics, psychology, biology, political science, and policy studies - are appropriate for students interested in the application of statistics in other disciplines. These courses emphasize study design, data processing, data analysis, and communication.

One possible path:

• Introductory course.
  • STA 209
• Secondary courses.
  • STA 309
  • One of the following: ANT/SOC 291, BIO 252, ECN 286 or PSY 225.
• Cornerstone course.
  • STA 310
• Incorporation of data-based project in disciplinary course.
  • One of the following: BIO 368, BIO 373, ECN 329, PSY 337, PST 320, POL 310, or POL 356.  
  • MAT 499 or a MAP with another faculty member having significant statistical content and approved by the statistics concentration committee.
• Highly recommended in addition to the above courses.
  • CSC 161, CSC 261, MAT 215, STA/MAT 335, and STA/MAT 336.

Several mathematics courses are appropriate for students interested in statistical methodology and its theoretical background. These courses would adequately prepare a student for most graduate programs in statistics.

One possible path:

• Introductory courses.
  • STA 209
  • CSC 161
• An applied course.
  • ANT/SOC 291, BIO 252, ECN 286 or PSY 225
• Cornerstone course.
  • STA 310
• Theoretical course.
  • STA/MAT 335  
  • STA/MAT 336 or MAT 316
• Highly recommended in addition to the above courses.
  • CSC 261, ECN 329, and MAT 395

This route includes programming skills. 

One possible path:

• Introductory course.
  • STA 209
• Secondary courses.
  • CSC 261 or CSC 207
  • One of the following: ANT/SOC 291, BIO 252, ECN 286, PSY 225.
• Cornerstone course.
  • STA 310
• Theoretical course.
  • Two of the following: CSC 301, STA/MAT 335, MAT 395, MAT 499
• Highly recommended in addition to the above courses.
  • MAT 215 and STA/MAT 336