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.
Program Goals
M.S. Analytics graduates are 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.
