Areas of Focus
Through course planning a student could potentially focus on one of three key areas within the statistics concentration.
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