Master's in Biostatistics: Curriculum & Degree Requirements

Certificate in Biostatistics or the Graduate Certificate in Epidemiology (1 year program)

► Current 2017-2018 DBBB Class Schedule  (Printable PDF)
 

M.S. CURRICULUM & PROGRAM SCHEDULE (FULL-TIME)

For graduation with an M.S. degree in Biostatistics, students must complete 32 credits of course work that include 30 fundamental core credits and 2 practicum 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 532: Machine Learning for Bioinformatics (3 credits) 
BIST 540: Experimental Design/Clinical Trials (3 credits)
BIST 545: Quantitative Data Analysis & Reporting (2 credits)
BIST 595: Data Science (2 credit)
BIST 918: Practicum (1 credit)

 

Program Schedule (part-time)

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)

Year 2, Semester 1  (Fall):
BIST 500: Department Seminar (0 credit)
BIST 540: Experimental Design/Clinical Trials (3 credits)
BIST 541: Principles of Epidemiology (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)
BIST 917: Practicum (1 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)
BIST 918: Practicum (1 credits)