Business Analytics (MS)

Admission Requirements

  1. Completion of a graduate application along with application fee
  2. Provision of two letters of reference, a resume, and a personal statement
  3. Completion of an undergraduate degree along with official transcripts
  4. 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

Plan of Study Grid
Year 1
FallHours
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
 Hours12
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
 Hours10.5
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
 Hours7.5
 Minimum Total Hours30

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 691MSBA 692MSBA 693MSBA 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

Plan of Study Grid
Year 1
FallHours
MSBA 620 Statistical Foundations of Business Analytics 3.0
MSBA 605 Python for Analytics 3.0
 Hours6
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
 Hours7.5
Summer
MSBA 680 Special Topics in Business Analytics (Elective course) 1 6.0
 Hours6
Year 2
Fall
MSBA 680 Special Topics in Business Analytics 1 1.5
MSBA 630 Modern Data Management 3
 Hours4.5
Spring
MSBA 650 Advanced Analytical Tools 3
MSBA 645 Applied Machine Learning 3
 Hours6
 Minimum Total Hours30

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 692MSBA 693MSBA 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.