Biostatistics University of Wisconsin Milwaukee

Overview

The Biostatistics programme at the University of Wisconsin Milwaukee offers an innovative curriculum designed to meet the evolving needs of the public health and biomedical research sectors. Students develop advanced skills in study design, computational techniques, and the interpretation of complex data sets arising from clinical observations.

This Master of Science degree focuses on both classical and modern statistical methods, enabling graduates to solve significant big data problems. The curriculum is specifically structured to bridge the gap between theoretical statistical research and practical applications within the public health landscape.

Students are trained to become effective collaborators capable of managing data for a variety of observational studies.

Why Biostatistics at the University of Wisconsin Milwaukee?

Students at the University of Wisconsin Milwaukee benefit from the opportunity to work alongside expert faculty on high-impact research projects. These initiatives include discovering genetic causes for chronic diseases and developing algorithms to monitor treatment efficacy or reduce medical costs through electronic records.

The Zilber College of Public Health provides a collaborative environment where students apply bioinformatic and statistical techniques to real-world health challenges. Research expertise at the institution spans genetic determinants of heart disease, stroke, and various cancers, offering students a rich academic setting.

A central component of the degree is the completion of a high-quality master’s thesis based on original research. This project serves as a key indicator of a student's ability to integrate biostatistical methods with public health knowledge to address complex, contemporary medical issues.

Tuition Fee Breakdown

• International fee: USD 27090 per year
• National fee: USD 27090 per year
• Local fee: USD 13659 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum requires the completion of 42 graduate credits, including core coursework and a dedicated research project. Modules may include:

• Public Health Principles & Practices
• Biostatistics
• Principles & Methods of Epidemiology
• Intermediate Biostatistics
• Probability and Statistical Inference
• Applied Categorical Data
• Applied Survival Analysis
• Applied Longitudinal Analysis
• Data Management and Visualization in R
• Practice of Biostatistical Consulting
• Applied Biostatistics Research Project

Students also select from various electives to tailor their expertise. Elective modules may include:

• Statistical Genetics and Genetic Epidemiology
• Translational Bioinformatics
• Bayesian Statistics
• Design, Conduct and Analysis of Clinical Trials
• Statistical Learning and Data Mining
• Statistical Computing
• Structural Equation Modeling
• Theory of Hierarchical Linear Modeling
• Scientific Computing
• Machine Learning
• Environmental Health Sciences
• Public Health Policy and Administration
• Community and Behavioral Health
• Molecular Genetics

Careers with Biostatistics

Graduates are well-prepared for diverse professional paths within the biomedical industry and public service. The rigorous training in data management and visualization allows alumni to pursue roles in managed care organisations and the pharmaceutical sector.

Many former students find success in academic settings or within local and international government agencies. The programme's focus on modern statistical approaches ensures that graduates remain competitive for roles involving the analysis of complex genetic variants and disease progression pathways.