
Master of ScienceAnalytics
This 36-semester hour program prepares the student by providing depth in analytics during the first year and focused functional study during the second year that can be applied to any discipline or any interdisciplinary area.
The Master of Science in Analytics has three concentrations: Healthcare Informatics, Pharmaceutical Sciences and Individualized.
Data analysts are forging new relationships in virtually every discipline: business, healthcare, geology, mathematics and statistics, biology, chemistry, computer science, information systems and technology, engineering, psychology, behavioral science, operations research, and more, in addition to potential interactions between these disciplines, using role-based interaction with information and analytics to enable highly- collaborative, data-driven organizations. The graduate of this program enters the workforce prepared for the complex, information-intensive world.
Program Goals
Graduates of the Master of Science in Analytics program will be able to:
- Identify and assess the opportunities, needs and constraints for data usage;
- Make clear and insightful analyses changing direction quickly as required by these analyses;
- Measure, evaluate, and explain the level of quality of a dataset and develop a plan to improve the quality;
- Work effectively in a team to develop data analytic solutions;
- Recognize and analyze ethical issues related to intellectual property, data security integrity, and privacy; and
- Communicate clearly and persuasively to a variety of audiences.
Graduates become data scientists and analysts in finance, marketing, operations, and business intelligence working groups that generate and consume large amounts of data.
Program Concentrations
- Healthcare Informatics
- Pharmaceutical Sciences (additional admission requirements)
- Individualized
Program Lead

Kevin Purcell, Ph.D. Program Lead for Data Analytics and Associate Professor of Data Science
Full Time Faculty
Assistant Professor of Cognitive Analytics
Assistant Professor of Economics
Professor of Computer Science and Analytics
Assistant Professor of Statistics and Analytics
Associate Professor of Business Analytics & MEBA Program Lead
Program Lead for Data Analytics and Associate Professor of Data Science
Associate Professor of Analytics
Corporate Faculty
Program Courses
This program requires a total of 36 semester hours: 15 semester hours from the core courses, 6 semester hours of experiential courses, and 15 semester hours of Concentration courses. The semester hour value of each course appears in parentheses ( ).
2020–2021 Academic Course Catalogs
Get information about core courses, electives and concentrations in our current academic course catalog.

Information for International Students
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