Skip to main content
menu

Statistics PhD Program

Education / Graduate Education / PhD Programs / Statistics / Master of Science in Biostatistics
 

Master of Science in Biostatistics

Other Available Graduate Programs
PhD in Statistics (traditional)
PhD in Statistics (bioinformatics concentration)
Master of Arts in Statistics

Program Overview

The Master of Science program in Biostatistics is primarily intended for students who wish to follow careers in health-related professions such as those in the pharmaceutical industry and biomedical or clinical research organizations.

The program consists of one core year (two semesters) of coursework as well as a capstone  project, which is normally done in the summer after the core program. There are no thesis or language requirements. The degree requires 32 credit hours consisting of all the 400-level courses listed below; substitutions may be made with approval of the faculty program advisor.

The capstone project requirement is met by working with medical center investigators on an applied project. Students are required to write a formal report summarizing the findings from their research project. These findings are presented in a public lecture, which is followed by an oral qualifying examination.

Prerequisites

The program is open to students with a substantial background in statistics. For entry into the program, three semesters of calculus, a course in linear and/or matrix algebra (similar to MTH 165), a course in probability (see STT 201), and a course in mathematical statistics (see STT 203) are required. A course in applied statistics (similar to STT 212) is recommended.

Typical Program of Study

A typical program for an entering student without previous advanced training is as follows:

Fall (12 credits)

  • BST 411 Statistical Inference I (4 credits)
  • BST 461 Biostatistical Methods I (4 credits)
  • BST 430 Introduction to Statistical Computing (4 credits)

Spring (12 credits)

  • BST 462 Biostatistical Methods II (4 credits)
  • BST 465 Design of Clinical Trials (4 credits)
  • One elective:
    • BST 413 Bayesian Inference (4 credits)
    • BST 426 Linear Models (4 credits)
    • BST 434 Genomic Data Analysis (4 credits)

Summer (8 credits)

  • BST 493 Capstone Project (8 credits)

Attention UR Undergraduates: Learn about the MS Biostatistics Accelerated Option that allows up to 3 graduate-level BST courses taken in your senior year to count towards both your Bachelor's and Master's degrees. Apply before the end of your junior year for this 4+1 program!