Applied Statistics
The candidate must complete 42 units of upper-division or graduate work approved by the Graduate Advisor in Statistics. At least 32 of these units must be at the graduate level in the 200 level series. The 42 units must include:
PSTAT 220 A-B-C: Advanced Statistical Methods
PSTAT 122: Design and Analysis of Experiments
PSTAT 230: Seminar and Projects in Statistical Consulting
The remaining units of credit may be obtained by taking any upper-division/graduate courses from the Statistics and Applied Probability listings (excluding PSTAT 109, 120 A-B-C, 133 A-B-C, 500, 501, 502, and 510) or courses from other applied disciplines with approval of the graduate advisor.
Mathematical Statistics
The candidate must complete 42 units of upper-division or graduate work approved by the Graduate Advisor in Statistics. At least 32 of these units must be at the graduate level in the 200 level series. The 42 units must include any two of the three basic graduate course sequences in probability and statistics:
PSTAT 207 A-B-C: Statistical Theory
PSTAT 213 A-B-C: Introduction to Probability Theory & Stochastic Processes
PSTAT 220 A-B-C: Advanced Statistical Methods
The remaining units of credit may be obtained by taking any upper-division/graduate courses from the Statistics and Applied Probability listings (excluding PSTAT 109, 120 A-B-C, 133 A-B-C, 500, 501, 502, and 510) or courses from other applied disciplines with approval of the graduate advisor.
Data Science
The candidate must complete 42 units of upper-division or graduate work approved by the Graduate Advisor in Statistics. At least 32 of these units must be at the graduate level in the 200 level series. The 42 units must include:
PSTAT 220 A-B-C: Advanced Statistical Methods
PSTAT 230: Seminar and Projects in Statistical Consulting
PSTAT 234: Statistical Data Science
Additionally, the 42 units must include any 2 of the 3 listed courses:
PSTAT 215A: Bayesian Inference
PSTAT 231: Data Mining
PSAT 232: Computational Techniques in Statistics
PSTAT 235: Big Data Analytics
PSTAT 237: Uncertainty Quantification
The remaining units of credit may be obtained by taking any upper-division/graduate courses from the Data Science listings (excluding PSTAT 109, 120 A-B-C, 133 A-B-C, 500, 501, 502, and 510) or courses from other applied disciplines with approval of the graduate advisor.