Required Courses for PhD
Required Statistics and Data Science Coursework:
View requirements prior to 2021
The required Statistics and Data Science courses are:
- STAT 344 Statistical Computing
- STAT 350-0 Regression Analysis
- STAT 353-0 Advanced Regression
- STAT 415-0 Introduction to Machine Learning (was STAT 435-0 Mathematical Foundations of Machine Learning in 2021-2022)
- 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 457-0 Applied Bayesian Inference
- At least 4 electives (300- and 400-level graduate courses in Statistics), among which 2 must be 400 level. See STAT courses approved for the PhD coursework below. (STAT graduate level courses excluded for Statistics PhD students: STAT 301-1,2,3, STAT 303-1,2,3, STAT 320-1,2,3, STAT 330-1, and STAT 357) Independent Study registrations cannot be used to fulfill the coursework requirements.
Additional Required Coursework:
In addition to the 12 courses listed above, PhD students must take:
- STAT 430-1 Probability for Statistical Inference 1
- STAT 430-2 Probability for Statistical Inference 2
- STAT 440 Stochastic Processes for Statistical Modeling and Inference
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 348-0 Applied Multivariate Analysis
- STAT 351-0 Design Analysis of Experiments
- STAT 352-0 Nonparametric Statistical Methods
- STAT 354-0 Applied Time Series Modeling (currently would register for the STAT 359 section of this course)
- STAT 356-0 Hierarchical Linear Models
- STAT 359-0 Topics in Statistics
- STAT 365-0 Intro Analysis Financial Data
- STAT 435-0 Mathematical Foundations of Machine Learning
- STAT 439-0 Meta-Analysis
- STAT 455-0 Advanced Qualitative Data Analysis
- STAT 456-0 Generalized Linear Models
- 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.
Prior to 2021
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.