Program Schedule and Curriculum
Section: Curriculum
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.
Program Schedule (for a full-time student)
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)
BIST 522: Special Topic – Introduction to Wavelets (1 credit, Special Topic fundamental course)
Year 1, Semester 2:
BIST 512: Statistical Modeling I (3 credits = lectures + computer lab, fundamental)
BIST 513: Statistical Modeling II (3 credits = lectures + computer lab, fundamental)
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, Special Topic fundamental course)
BIST 521: Special Topic – Survey Sampling (1 credit, Special Topic 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 = lectures + computer lab, fundamental)
BIST 513: Statistical Modeling II (3 credits = lectures + computer lab, fundamental)
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 513: Statistical Modeling II (3 credits = lectures + computer lab, fundamental)
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, Special Topic fundamental course)
BIST 521: Special topic I - Survey Sampling (1 credit, Special Topic fundamental course)
BIST 522: Special topic I - Introduction to Wavelets (1 credit, Special Topic fundamental course)
Year 3, Semester 2:
BIST 918: Practicum (3 credits, mandatory)