Business Analytics (MS)
The Master of Science in Business Analytics (MSBA) is an accelerated, cohort-based 13-month, three-semester program. Students work both in teams and independently in completing the coursework.
The MSBA curriculum combines information systems technologies, data modeling, and analytics with business acumen and impactful communications to develop the skills necessary to become a successful data scientist with excellent potential for professional growth. The program is also designed and delivered in close collaboration with local businesses providing a strong business orientation, increasing your skill relevance in the marketplace upon graduation.
- Completion of a graduate application along with application fee
- Provision of two letters of reference, a resume, and a personal statement
- Completion of an undergraduate degree along with official transcripts
- GMAT or GRE score: May be waived for applicants with significant work experience in the field of analytics or for applicants with significant academic exposure (e.g., major or minor) in a STEM or technical field
The Master of Science in Business Analytics (MSBA) program requires a minimum of 30 credit hours for program completion. Currently, 25.5 credit hours are core and 4.5 credit hours are in electives.
Students also may enroll in up to three (3) additional credit hours in Analytics Internship courses spread across the program's three semesters.
Core Courses and Special Topics
|MSBA 630||Data Management||3.0|
|MSBA 605||Programming for Analytics||1.5|
|MSBA 610||Linear Algebra||1.5|
|MSBA 615||Introduction to Statistical Packages||1.5|
|MSBA 620||Data Analytics I||3.0|
|MSBA 635||Data Analytics II||3.0|
|MSBA 645||Data Mining||3.0|
|MSBA 650||Data Analytics III||3.0|
|MSBA 680||Special Topics in Business Analytics (Elective course)||1.5|
|MSBA 685||Analytics Internship (optional, spread across three semesters) 1||1.0|
|MSBA 625||Storytelling with Data||3.0|
|MSBA 680||Special Topics in Business Analytics (Elective course)||3.0|
|MSBA 690||Analytics Capstone||3.0|
|Minimum Total Hours||30|
Sequence of courses is subject to change.
Optional internship, 1 credit hour per semester completed.