Graduate Programs in Statistics
Our programs include hands-on learning, research, and internship opportunities. Faculty members are experts in the field and actively work with students on research and other special projects. You do not need to be a Statistics Major or Minor to enter one of our graduate programs. As a part of the Professional Science Masters Program, all of our graduate programs require an internship. Interested in learning more? Check out the information below:
Applied statistics is a practical, hands-on program that provides a comprehensive set of applied statistical techniques, which allows students to succeed as applied statisticians in academia and industry.
Format: Face To Face Credits: 36 Individual Course Length: 15 weeks
Biostatistics is the application and development of statistical techniques for the biological and health sciences.
Format: Face To Face Credits: 37 Individual Course Length: 15 weeks
The M.S. in data science and analytics provides students with the fundamental analytics background necessary to work with big and complex data sets in any discipline. The degree has applications to health, social, political, and environmental issues as well as science and technology disciplines. It provides training in key technical areas while also developing business and communication skills.
Format: Face To Face Credits: 36 Individual Course Length: 15 weeks
Earn a B.S./M.S. in 5 years instead of 6!
*B.S. does not have to be in Statistics
Combined Degree: Statistics B.S. and Applied Statistics, M.S.
Combined Degree: Statistics B.S. and Biostatistics, M.S.
Combined Degree: Statistics, B.S. and Data Science and Analytics, M.S.
Pursuing a graduate degree in statistics offers numerous advantages that can significantly enhance your career prospects and intellectual growth. In today’s data-driven world, the ability to analyze and interpret complex datasets is increasingly valuable across various industries, including healthcare, finance, technology, and social sciences. A statistics graduate program equips you with advanced analytical skills, fostering a deep understanding of statistical theories and methodologies. This expertise not only positions you as a sought-after candidate for high-demand roles, such as data analyst, biostatistician, or applied statistician, but also empowers you to contribute meaningfully to evidence-based decision-making. Check out what our graduate program alumni are doing: