Business Analytics (MS)
Admission Requirements
- 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
Program Requirements
The Master of Science in Business Analytics (MSBA) program requires a minimum of 30 credit hours for program completion. Currently, 22.5 credit hours are core and 7.5 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.
Full-Time Program: Core Courses and Special Topics
Year 1 | ||
---|---|---|
Fall | Hours | |
MSBA 630 | Modern Data Management | 3.0 |
MSBA 605 | Python for Analytics | 3.0 |
MSBA 610 | Data Visualization with Power BI | 1.5 |
MSBA 615 | R for Analytics | 1.5 |
MSBA 620 | Statistical Foundations of Business Analytics | 3.0 |
Hours | 12 | |
Spring | ||
MSBA 635 | Predictive Analytics | 3.0 |
MSBA 645 | Applied Machine Learning | 3.0 |
MSBA 650 | Advanced Analytical Tools | 3.0 |
MSBA 625 | Storytelling with Data | 1.5 |
Hours | 10.5 | |
Summer | ||
MSBA 685 | Analytics Internship (optional, spread across three semesters) 1 | 1.0 |
MSBA 680 | Special Topics in Business Analytics (Elective course) 2 | 7.5 |
Hours | 7.5 | |
Minimum Total Hours | 30 |
Sequence of courses is subject to change.
- 1
Optional internship, one (1) credit hour per semester completed.
- 2
Students in the Artificial Intelligence concentration will take their directed electives in this semester including MSBA 691, MSBA 692, MSBA 693, MSBA 694, and MSBA 695. This concentration is open to both on-campus and online MSBA students. However, four out of five courses are available in a on-campus format only.
Part-Time Program: Core Courses and Special Topics
Year 1 | ||
---|---|---|
Fall | Hours | |
MSBA 620 | Statistical Foundations of Business Analytics | 3.0 |
MSBA 605 | Python for Analytics | 3.0 |
Hours | 6 | |
Spring | ||
MSBA 610 | Data Visualization with Power BI | 1.5 |
MSBA 635 | Predictive Analytics | 3.0 |
MSBA 625 | Storytelling with Data | 1.5 |
MSBA 615 | R for Analytics | 1.5 |
Hours | 7.5 | |
Summer | ||
MSBA 680 | Special Topics in Business Analytics (Elective course) 1 | 6.0 |
Hours | 6 | |
Year 2 | ||
Fall | ||
MSBA 680 | Special Topics in Business Analytics 1 | 1.5 |
MSBA 630 | Modern Data Management | 3 |
Hours | 4.5 | |
Spring | ||
MSBA 650 | Advanced Analytical Tools | 3 |
MSBA 645 | Applied Machine Learning | 3 |
Hours | 6 | |
Minimum Total Hours | 30 |
Sequence of courses is subject to change.
- 1
Students in the Artificial Intelligence concentration will take their directed electives in this semester including MSBA 691, MSBA 692, MSBA 693, MSBA 694, and MSBA 695. This concentration is open to both on-campus and online MSBA students. However, four out of five courses are available in a on-campus format only.
Concentration in Artificial Intelligence
The Master of Science in Business Analytics (MSBA) program students can earn a concentration in Artificial Intelligence by taking five directed electives. These five directed electives will replace the five required electives for the MSBA program. These directed electives are:
MSBA 691 Deep Learning
MSBA 692 Pipelines to Insights
MSBA 693 Healthcare Analytics using PySpark
MSBA 694 Natural Language Processing
MSBA 695 Cloud Computing
This concentration is open to both Seated and Online MSBA students. However, four out of five directed courses required for the Artificial Intelligence concentration may only be available in a seated format.