Curriculum

Each track in the MS in Biostatistics Program curriculum consists of at least 34 credits which must be completed in one full-time academic year. In addition to coursework, students will complete a capstone project in each term. A detailed curriculum and a capstone overview are provided below.

Coursework – Theory and Methods Track

Students are expected to take a total of five required courses (11 credits) in the Fall Term, five required courses (13 credits) in the Spring I Term, and three required courses (7 credits) in the Spring II Term. In addition to the 31 credits of required coursework, students must take at least one three-credit clinical research-related elective, yielding the 34-credit minimum to successfully complete the MS in Biostatistics Program in one year. Required coursework is indicated in bold below.

Fall

Course TitleCredits
Introduction to Advanced Biostatistics 3
Fundamentals of Epidemiology 3
Probability and Inference I 3
Introduction to BioMedical & Translational Informatics 1
Capstone 1
Clinical Trials Management (elective) 1
Introduction to R Programming (elective) 1

Spring I

Course TitleCredits
Applied Linear Models I 3
Analysis of Categorical Data 3
Probability and Inference II 3
Applied Biostatistics in Clinical Trials 3
Capstone 1
Health Economics (elective) 3

Spring II

Course TitleCredits
Analysis of Longitudinal Data 3
Survival Analysis 3
Capstone 1
The Drug Development Process (elective) 1
Molecular Epidemiology (elective) 3
Principal Topics in Biomedical Informatics (elective) 3
Pharmacoeconomics (elective) 3
Race and Causal Inference Seminar (elective) 3
Applied Analysis of Healthcare Databases (elective) 3

 

Required Credits31
Minimum Elective Credits 3
Total Credits 34

Coursework – Clinical Applications Track

Students are expected to take a total of six required courses (12 credits) in the Fall Term, four required courses (10 credits) in the Spring I Term, and five required courses (9 credits) in the Spring II Term. In addition to the 31 credits of required coursework, students must take at least one three-credit clinical research-related elective, yielding the 34-credit minimum to successfully complete the MS in Biostatistics Program in one year. Required coursework is indicated in bold below.

Fall

Course TitleCredits
Introduction to Advanced Biostatistics 3
Fundamentals of Epidemiology 3
Clinical Trials Management 1
Responsible Conduct of Research 1
Probability and Inference I 3
Capstone (Research Project) 1
Introduction to R Programming (elective) 1

Spring I

Course TitleCredits
Applied Linear Models I 3
Analysis of Categorical Data 3
Applied Biostatistics in Clinical Trials 3
Capstone (Research Project) 1
Health Economics (elective) 3
Introduction to Socio-Behavioral Health (elective) 3
Genetic Epidemiology (elective) 3

Spring II

Course TitleCredits
Applied Analysis of Healthcare Databases 3
The Drug Development Process 1
Grant Writing 1
Capstone (Research Project) 1
Race and Causal Inference Seminar 3
Molecular Epidemiology (elective) 3
Principal Topics in Biomedical Informatics (elective) 3
Pharmacoeconomics (elective) 3

 

Required Credits31
Minimum Elective Credits 3
Total Credits 34

Curriculum Overview

Click on the link below to view the curriculum overview chart.

Curriculum overview [PDF]

Capstone Overview

The capstone-related lectures and projects will:

  • Engage students in important discourse surrounding data management and research ethics
  • Challenge students to turn conceptual research questions into testable hypotheses and to determine the appropriate analytic testing methods
  • Provide students with the opportunity to shadow Biostatistics faculty mentors in the Center for Biostatistics consultation service

Additionally, students will learn how to create appropriate study design-related and methodological solutions to cutting edge, real-world research questions. Students will conduct advanced preliminary analyses under the guidance and supervision of their mentors. At the end of the Spring II term students will communicate their findings to an institution-wide audience at an MS in Biostatistics Capstone Symposium.

Apply Now

Final Application Deadline:
April 1