Program Schedule and Curriculum


For information about the Graduate Certificate in Biostatistics or the Graduate Certificate in Epidemiology, please go HERE.

Degree Requirements

For graduation with an M.S. degree in Biostatistics, students must complete 32 credits of course work that include 28 fundamental core credits, 2 practicum credits and 2 consulting credits.  The minimum prerequisites are multi-variable calculus, linear algebra and one statistics course.  

Year 1, Semester 1 (Fall):
BIST 500: Department Seminar (0 credit)
BIST 510: Probability and Sampling (3 credits)
BIST 511: Statistical Inference (3 credits)
BIST 515: Introduction to Statistical Software (2 credits)
BIST 541: Principles of Epidemiology (3 credits)

Year 1, Semester 2 (Spring):
BIST 500: Department Seminar (0 credit)
BIST 512: Categorical Data Analysis (3 credits)
BIST 513: Survival Analysis (3 credits)
BIST 514: Linear Models and Multivariate Analysis (3 credits)
BIST 917: Practicum (1 credit)

Summer:
Internship (Encouraged for all full-time students)

Year 2, Semester 1 (Fall):
BIST 500: Department Seminar (0 credit)
BIST 540: Experimental Design/Clinical Trials (3 credits)
BIST 532: Machine Learning for Bioinformatics (3 credits) 
BIST 545: Quantitative Data Analysis & Reporting (2 credits)
BIST 595: Data Science (2 credit)
BIST 918: Practicum (1 credit)

Possible Program Schedule (for a part-time student)

Year 1, Semester 1 (Fall):
BIST 510: Probability and Sampling (3 credits)
BIST 511: Statistical Inference (3 credits)
BIST 515: Introduction to Statistical Software (2 credits)

Year 1, Semester 2 (Spring):
BIST 512: Categorical Data Analysis (3 credits)
BIST 513: Survival Analysis (3 credits)
BIST 917: Practicum (1 credits)

Year 2, Semester 1 (Fall):
BIST 500: Department Seminar (0 credit)
BIST 541: Principles of Epidemiology (3 credits)
BIST 540: Experimental Design/Clinical Trials (3 credits)
BIST 532: Machine Learning for Bioinformatics (3 credits)

Year 2, Semester 2 (Spring):
BIST 500: Department Seminar (0 credit)
BIST 514: Linear Models and Multivariate Analysis (3 credits)

Year 3, Semester 1 (Fall):
BIST 500: Department Seminar (0 credit)
BIST 545: Quantitative Data Analysis & Reporting (2 credits)
BIST 595: Data Science (2 credit)