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The Basics

Biostatistics & Data Science (MA)

Medical College of Wisconsin

Fueled by curiosity. Focused on health.


Graduate School of Biomedical Sciences
8701 W Watertown Plank Road
Milwaukee, Wisconsin, 53226, United States

What We Offer

Summary

Our Biostatistics & Data Science (MA) program provides students with a good theoretical background expected of a professional biostatistician and will equip them with a set of analytical skills used in data science. Practical experience and ability to complete data retrieval, integration and analysis are critical skills, important to all organizations. Our students benefit from involvement in statistical consulting and collaborative work at MCW. Faculty are engaged in research related to biostatistics methods and applications, cancer, cardiovascular disease, clinical trials, genomics, big data, and machine learning. The program is designed to develop excellent data analytics and communication skills, lay the foundation to research ethics and leadership. Students will leave fully prepared for current challenging work environment in the pharmaceutical industry, healthcare, biomedical sciences, academics, and general data analytics.


Academic Fields

Biostatistics.
Statistics, General.
Biomathematics, Bioinformatics, and Computational Biology, Other.
Mathematics, Other.
Statistics, Other.
+ Show all academic fields

Degrees

Master's Degree, MA, Master's of Arts in Biostatistics & Data Science


Formats

Full Time, Part Time, On-Campus

Keywords

MA, Master's, Biostatistics, Data, Science,

Contacts

Anthony Perez, MS Ed

Anthony Perez, MS Ed
Associate Director
anperez@mcw.edu
anperez@mcw.edu
414-955-4407

Who We're Looking For

Summary

This program was created to meet the increasing demand for highly skilled individuals with expert knowledge of biostatistics, programming, and data analytics. Students will learn from faculty with extensive and diverse experiences and will have opportunities for supervised and independent hands on experience. Involvement in consulting practice and collaborative work is an integral part of the program. All students will have a faculty advisor to guide them through their capstone project and professional portfolio development. The latter will include a set of coding samples, written reports and presentations. Graduates of this program will be prepared to work in a variety of settings with a broad range of data analytics needs.


Academic Backgrounds

Applied Mathematics, General.
Applied Mathematics, Other.
Biomathematics, Bioinformatics, and Computational Biology, Other.
Biostatistics.
Computational and Applied Mathematics.
+ Show all academic fields

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