Required Courses for PhD
Required Statistics Coursework:
The required Statistics courses are:
- STAT 350 Regression Analysis
- STAT 351 Design and Analysis of Experiments or IEMS 463 Statistical Analysis of Designed Experiments (DGS will specify)
- STAT 420-1 Introduction to Statistical Theory and Methodology 1
- STAT 420-2 Introduction to Statistical Theory and Methodology 2
- STAT 420-3 Introduction to Statistical Theory and Methodology 3
- STAT 425 Sampling Theory and Applications
- 6 other 300 and 400 graduate level courses in Statistics to complete the 12 course requirement. Of these six, at least two should be 400 level courses. Independent Study registrations cannot be used to fulfill the coursework requirements. See STAT courses approved for the PhD coursework below.
Additional Required Coursework:
In addition to the 12 courses listed above, PhD students must take either:
- MATH 450-1 Probability 1 and MATH 450-2 Probability 2
- MATH 450-1 Probability 1 and IEMS 460-1 Stochastic Processes 1 and IEMS 460-2 Stochastic Processes 2
Approved STAT elective courses for PhD:
at least 2 elective courses must be 400 level
- STAT 302 Data Visualization
- STAT 328-0 Causal Inference
- STAT 344-0 Statistical Computing
- STAT 348-0 Applied Multivariate Analysis
- STAT 352-0 Nonparametric Statistical Methods
- STAT 356-0 Hierarchical Linear Models
- STAT 359-0 Topics in Statistics
- STAT 365-0 Intro Analysis Financial Data
- STAT 370-0 Human Rights Statistics
- STAT 439-0 Meta-Analysis
- STAT 455-0 Advanced Qualitative Data Analysis
- STAT 456-0 Generalized Linear Models
- STAT 457-0 Applied Bayesian Inference
- STAT 461-0 Advanced Topics in Statistics
- STAT 465-0 Statistical Methods for Bioinformatics and Computational Biology
STAT 519 Requirement:
All PhD students are required to take STAT 519 Responsible Conduct of Research Training, typically in their second year.
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