Ad Hoc MS Approved Courses
DEPARTMENT OF STATISTICS COURSES
STAT 320-1* Statistical Theory and Methods 1 - Required
STAT 320-2* Statistical Theory and Methods 2 - Required
*Students with advanced mathematics may replace STAT 320-1 and STAT 320-2 with STAT 420-1 and STAT 420-2 with department approval.
Data Science Sequence
If pursuing this option, note that all 3 courses must be taken
Requires advanced assigned seat reservation to register for the sequence courses
STAT 301-1 Data Science 1 with R, STAT 301-2 Data Science 2 with R, and STAT 301-3 Data Science 3 with R
Or
STAT 303-1 Data Science 1 with Python, STAT 303-2 Data Science 2 with Python, and STAT 303-3 Data Science 3 with Python - Note: Python experience at the level of STAT 201 or COMP_SCI 110 is expected for the Data Science Sequence with Python.
Elective courses typically taught annually
Note that 300 level courses are combined UG/G, whereas 400 level courses are graduate only
Parentheses indicate quarter the course is typically taught
STAT 320-3 Statistical Theory and Methods 3 (Spring)
STAT 302 Data Visualization (multiple quarters) – requires advanced assigned seat reservation to register
STAT 328-0 Causal Inference (Winter)
STAT 344 Statistical Computing (varies)
STAT 350 Regression Analysis (Fall)
STAT 351 Design and Analysis of Experiments (varies)
STAT 353 Advanced Regression (Winter)
STAT 420-1 Statistical Theory & Methodology 1 (Fall)
STAT 420-2 Statistical Theory & Methodology 2 (Winter)
STAT 420-3 Statistical Theory & Methodology 3 (Spring)
STAT 457 Applied Bayesian Inference (Winter)
STAT 465 Statistical Methods for Bioinformatics and Computational Biology (varies)
Elective courses taught every other year or less frequently
Note that 300 level courses are combined UG/G, whereas 400 level courses are graduate only
Parentheses indicate last time courses were taught to give a sense of regularity
STAT 348 Applied Multivariate Analysis (offered yearly to every other year)
STAT 352 Nonparametric Statistical Methods (typically every other year, last offered Spring 2022)
STAT 356 Hierarchical Linear Models (typically every other year, last offered Spring 2021)
STAT 357 Intro to Bayesian Statistics (last offered Fall 2021)
STAT 359 Topics in Statistics
STAT 365 Introduction to Financial Statistics (typically every other year, last offered Spring 2021)
STAT 439 Meta-Analysis (typically every other year, last offered Spring 2022)
STAT 435 Mathematical Foundations of Machine Learning (offered yearly to every other year, last offered Winter 2022)
STAT 455 Advanced Qualitative Data Analysis (typically every other year, last offered 2021)
STAT 456 Generalized Linear Models (typically every other year, last offered Fall 2020)
STAT 461 Advanced Topics in Statistics
APPROVED COURSES IN OTHER DEPARTMENTS
The following courses are approved for the Ad Hoc degree. Courses not on this list may be approved with permission from the Program Director.
Economics
ECON 380 I, II Introduction to Mathematical Economics
ECON 381 I, II Introduction to Econometrics
ECON 401 Mathematical Methods of Economic Theory
ECON 480 I, II, III Introduction to Econometrics
ECON 481 I, II, III Econometrics
ECON 483 Applied Econometrics: Cross Sectional Methods
Epidemiology and Biostatistics
EPI BIO 501 Advanced Epidemiology
EPI BIO 502 Advanced Biostatistics
Industrial Engineering and Management Sciences
IEMS 341 / 441 Social Network Analysis
IEMS 351 Optimization Methods for Data Science
IEMS 460-1 Stochastic Processes 1
IEMS 460-2 Stochastic Processes 2
IEMS 463 Statistical Analysis of Designed Experiments
Mathematics
MATH 450-1 Probability 1
MATH 450-2 Probability 2
Political Science
POLI SCI 405 Linear Models (may count in place of STAT 350 as a pre-req for other courses)
POLI SCI 406 Quantitative Causal Inference
POLI SCI 407 Experimental Political Science
POLI SCI 490 - Time Series and Panel Methods
Psychology
PSYCH 405 Psychometric Theory
Sociology
SOCIOL 401 Linear Regression (may count in place of STAT 350 as a pre-req for other courses)
SOCIOL 402 Event History Analysis
SOCIOL 476 Demographic Methods
SOCIOL 476 Networks
Students can request approval for a course not in the list above from the Department of Statistics Master of Science Program Director. Please be prepared to provide a syllabus and/or detailed course description for any course not listed above that you wish to submit to the Director for consideration. If the Director approves the course, it can be added to your plan of study.