Master of Science


MS Biostatistics

About

Why study Biostatistics?

The Master of Science in Biostatistics program provides an innovative curriculum to meet a range of professional needs and interests. The program trains students in study design, appropriate use of statistical and computational techniques, and interpretation of data analysis results arising from public health and biomedical research. Students learn both classical and modern statistical methods and apply their statistical skills and knowledge to solve “big data” problems. They have the opportunity to work with faculty on cutting edge research projects, such as discovering genetic causes of common diseases, developing statistical algorithms to monitor treatment efficacy, and reducing medical costs through electronic health record.

Curriculum

M.S in Biostatistics students complete 33 credits of required courses, and 9 elective credits, for a total of 42 credits.

Required Courses:

PH702 Introduction to Biostatistics (3 credits)

PH704 Principles & Methods of Epidemiology (3 credits)

PH711 Intermediate Biostatistics (3 credits)

PH712 Probability and Statistical Inference (3 credits)

PH716 Applied Survival Analysis (3 credits)

PH715 Applied Categorical Data Analysis (3 credits)

PH717 Applied Longitudinal Analysis (3 credits)

PH718 Data Management, Visualization, and Advanced Statistical Computing (3 credits)

PH801 Seminar in Public Health Research (3 credits)

PH813 Practice of Biostatistical Consulting (3 credits)

PH990 Master’s Thesis (3 credits)

Required Subject Matter “S”electives (Choose two courses, 6 cr.)

PH714 Statistical Genetics and Genetic Epidemiology (3)

PH721 Intro. To Translational Bioinformatics (3)

PH722 An Introduction to Bayesian Statistics (3) —

PH723 Clinical Trials (3) PH812 Statistical Learning and Data Mining (3)

PH818 Statistical Computing (3)

EDPSY823 Structural Equation Modelling (3)

EDPSY832 Theory of Hierarchical Linear Modelling (3)

CS708 Scientific Computing (3)

CS711 Pattern Recognition – Statistical, Neural, and Fuzzy Approaches

Elective (Choose 1 course, 3 cr.; other courses as approved)

PH703 Environmental Health Sciences (3)

PH705 Public Health Policy and Administration (3)

PH706 Perspectives in Community and Behavioral Health (3)

BIOL597 RNA structure, function, and metabolism (3)

BIOL490 Molecular Genetics(3)

MCW20240 Translational Genetics (3)

Career

Graduates will be prepared for many career paths, including academia, managed care organizations, the pharmaceutical industry, and public service at all levels of local, national and international government.

Faculty

Research

Faculty expertise in: Genetic determinants of common chronic diseases (including heart disease, bleeding disorders, Type II diabetes, stroke and colorectal cancer); using genomic technologies and bioinformatic and biostatistical techniques to accurately predict risk and treatment response in cancer and cardiovascular disease; major molecular mechanisms and pathways that modulate disease progression; using biomedical informatics, mathematical modeling and simulations to characterize and predict the use of genetics in medical practice and in particular pathology; use of high-throughput genetic technologies such as micro-arrays and next generation sequencers in the discovery and applications of genetics to complex diseases and environmental-gene development pathways; and statistical methods and computational tools to identify genetic variants that influence the susceptibility to complex diseases such as cancer of the breast, colon/rectum, lung and prostate.

Learn more about our research here.

Become a leader for the public’s health.