Master’s in Biostatistics: Curriculum & Degree Requirements

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 M.S. Requirement credits (Options: Practicum I & II or Special Topic I & II).  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)
MS Requirement: (choose from option 1 or 2)

  1. BIST 917: Practicum I (1 credit) *
  2. BIST 817: Special Topic I (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)
MS Requirement: (choose from option 1 or 2)
        1) BIST 918: Practicum II (1 credit) *
        2) BIST 818: Special Topic II (1 credit) **

Note:
Beginning Fall 2018, for the MS Requirement first-year students choose either Option 1 path or Option 2 path for entire MS program.

*Option 1 path ⇒ Practicum I & II
**  Option 2 path ⇒ Special Topic I & II

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)
MS Requirement: (choose from option 1 or 2)
        1) BIST 917: Practicum I (1 credits) *
        2) BIST 817: Special Topic I (1 credit) **

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)
MS Requirement: (choose from option 1 or 2)

  1. BIST 918: Practicum II (1 credit) *
  2. BIST 818: Special Topic II (1 credit) **

Note: 
Beginning Fall 2018, for the MS Requirement first-year students choose either Option 1 path or Option 2 path for entire MS program.

*   Option 1 path ⇒ Practicum I & II
**  Option 2 path ⇒ Special Topic I & II