M.S. Analytics

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. 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.

Degree Course Requirements - 36 credit hours

Program Core Courses - 15 Credits

ANLY 500 - Analytics I: Principles and Applications (3 semester hours)
ANLY 502 - Analytical Methods I (3 semester hours)
ANLY 510 - Analytics II: Principles and Applications (3 semester hours)
ANLY 506 - Exploratory Data Analysis (3 semester hours) or ANLY 512 - Data Visualization (3 semester hours)
ANLY 545 - Analytical Methods II (3 semester hours) or ANLY 560 - Functional Programming Methods for Analytics (3 semester hours)

Experiential courses - 6 Credits

GRAD 695 - Research Methodology and Writing (3 semester hours)
ANLY 699 - Applied Project in Analytics (3 semester hours) or GRAD 699 - Graduate Thesis (3 semester hours)

In order to graduate with a concentration, students must take five (5) courses, totaling 15 credit hours in the area of their chosen concentration

Individualized (15 semester hours)
Healthcare Informatics (15 semester hours)
Pharmaceutical Sciences (15 semester hours)

For a complete description of the above requirements, please go to the Course Catalog.