Master of Science in Data Analytics Program Overview
The Master of Science in Data Analytics is a ten-course, 30 credit-hour degree program that prepares students for successful careers in analytics-oriented jobs in the for- and non-profit sectors of the economy. Students will learn how to use data to improve upon organizational decision-making, conduct innovative research, and inform policy decisions at the local, state, and national levels. Students will build competencies in the areas of collecting, cleaning, storing, managing, and analyzing data with an emphasis on the interpretation of results. Special emphasis will also be placed on the principles of data ethics, storytelling with data, strategic decision-making, the application of the latest business technologies, and how leaders can use data to enhance their ability to get buy-in, build healthy coalitions, and work with teams towards common goals. In short, students will learn how to communicate the results of an analysis to affect positive change in their households, organizations, and communities at large.
Admissions
Unconditional admission to the Master of Science in Data Analytics degree program will be granted to applicants who satisfy the following requirements:
—Baccalaureate degree with a minimum GPA of 3.0. (No GRE or GMAT required)
—Official transcripts of all undergraduate and graduate work
—An evaluation by the graduate program advisor
—Evidence of completion of the Common Professional Components (CPCs) for the following course:
bmgt-3370'>BMGT 3370 Business Statistics or a similar course that covers the fundamentals of descriptive and inferential statistics
Conditional admission to the Master of Science in Data Analytics degree program will be granted to applications who satisfy the following requirements:
—Baccalaureate degree with a minimum GPA of 2.5, but less than 3.0. (No GRE or GMAT required.)
—Official transcripts of all undergraduate and graduate work
—An evaluation by the graduate program advisor
—Evidence of completion of the Common Professional Components (CPCs) in the following course:
bmgt-3370'>BMGT 3370 Business Statistics or a similar course that covers the fundamentals of descriptive and inferential statistics
Note: Those granted Conditional Admission will be required to complete the first three courses with a “B” or better.