The Master of Science Business Analytics (M.S.B.A.) program is an on-campus, full-time program that will prepare students for analytics positions in industry and government to manage data, apply cutting-edge methodologies, use current software, interpret and effectively communicate results, make recommendations, and manage implementations. The M.S.B.A. program will also equip students to continue learning about analytics throughout their careers. It will advance the university by creating an emphasis on the dissemination of knowledge in concentrations in the growing technological world of analytics.
The Business Analytics (M.S.B.A.) program requires students to have strong quantitative skills, completed an undergraduate introductory statistics course with a letter grade of B or higher, and achieved either a total GMAT score of 600 or a total GRE score of 300.
This program is designed for recent college graduates with limited or no full-time, post-graduate work experience; however, relevant work experience may also be considered in the application process. For students who do not meet the minimum GPA or GMAT/GRE standards, the M.S.B.A. admissions committee may grant "permission to continue."
|MIS 501||App Dev Data-Driven Org (Application Development for the Data-Driven Organization)||3|
|MIS 502||DB Des & Mgt Data-Driven Org (Database Design and Management in the Data-Driven Organization)||3|
|ST 521||Statistical Data Management||3|
|ST 522||Adv Statistical Data Mgt||3|
|ST 531||Data Mining I||3|
|ST 532||Advanced Data Mining (Applied Statistical Modeling for Analytics)||3|
|ST 541||App Stat Mod Analytics I (Applied Statistical Modeling for Analytics II)||3|
|ST 542||App Stat Mod Analytics II||3|
|OM 500||MGT Science & Spreadsheet Mod||3|
|OM 501||Adv App Model & Analysis (Advanced Applied Modeling and Analysis)||3|
|GBA 591||Independent Study (Analytics Seminar)||6|
The M.S.B.A. program includes a mandatory capstone experiential learning component in the last semester of the program which will require students to work on teams that will
- design an analytical study and data collection tools
- manage the collection of data (if necessary)
- use various software to manipulate and analyze data
- interpret and present the results of their analyses
- recommend strategies based on the results of their analyses for a case or a project provided by an industry partner.
The assignment will require the student teams to use the analytics concepts and software they have learned in the program to generate solutions for the assigned case or industry project. The student teams will evaluated on the basis of i) a comprehensive written report and ii) a formal presentation of their methodology, results, and recommendation(s).