Program Schedule and Curriculum
Section: 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 18 fundamental core credits, 9 track course credits, 3 practicum credits and 2 consulting credits. The minimum prerequisites are multi-variable calculus, linear algebra and one statistics course. Note: BIST 550 is optional for part-time students who have extensive prior consulting experience and must be pre-approved by the department for exemption.
Year 1, Semester 1:
BIST 510: Probability and Sampling (3 credits, fundamental course)
BIST 511: Statistical Inference (3 credits, fundamental course)
BIST 515: Introduction to Computational Software (3 credits, fundamental course)
Year 1, Semester 2:
BIST 512: Statistical Modeling I (3 credits, fundamental course)
BIST 513: Statistical Modeling II (3 credits, fundamental course)
BIST 531: Pattern Recognition (3 credits, Bioinformatics track)
BIST 541: Principles of Epidemiology (3 credits, Epidemiology track)
BIST 918: Practicum (3 credits, mandatory)
Summer:
Internship
Year 2, Semester 1:
BIST 535: Case Studies in Bioinformatics (3 credits, Bioinformatics track)
BIST 545: Case Studies in Epidemiology (3 credits, Epidemiology track)
BIST 530: Biostatistics for Bioinformatics (3 credits, Bioinformatics track)
BIST 540: Clinical Trials (3 credits, Epidemiology track)
BIST 520: Special Topic – Meta-Analysis (1 credit, fundamental course)
BIST 521: Special Topic – Survey Sampling (1 credit, fundamental course)
BIST 522: Special Topic – Categorical Data Analysis (1 credit, fundamental course)
BIST 550: Consulting (2 credits, mandatory)
Possible Program Schedule (for a part-time student)
Year 1, Semester 1:
BIST 510: Probability and Sampling (3 credits, fundamental course)
BIST 511: Statistical Inference (3 credits, fundamental course)
Year 1, Semester 2:
BIST 512: Statistical Modeling I (3 credits, fundamental course)
BIST 513: Statistical Modeling II (3 credits, fundamental course)
Year 2, Semester 1:
BIST 530: Biostatistics for Bioinformatics (3 credits, Bioinformatics track)
BIST 540: Clinical Trials (3 credits, Epidemiology track)
BIST 515: Introduction to Computational Software (3 credits, fundamental)
Year 2, Semester 2:
BIST 531: Pattern Recognition (3 credits, Bioinformatics track)
BIST 541: Principles of Epidemiology (3 credits, Epidemiology track)
Year 3, Semester 1:
BIST 535: Case Studies in Bioinformatics (3 credits, Bioinformatics track)
BIST 545: Case Studies in Epidemiology (3 credits, Epidemiology track)
BIST 520: Special Topic - Meta-Analysis (1 credit, fundamental course)
BIST 521: Special Topic - Survey Sampling (1 credit, fundamental course)
BIST 522: Special Topic - Categorical Data Analysis (1 credit, fundamental course)
BIST 550: Consulting (2 credits)
Year 3, Semester 2:
BIST 918: Practicum (3 credits, mandatory)