Degree Pathway for the Big Data and Applied AI Option

For students enrolled Spring 2026 and beyond.

The Big Data and Applied AI option reflects the growing role of artificial intelligence in business decision-making. It provides students with rigorous training in data science methods, machine learning, and AI-driven analytics, preparing them to tackle complex business challenges using cutting-edge techniques. By combining technical depth with practical applications, this option equips graduates with the skills sought by employers in today’s data-driven economy and positions them for success in analytics and data science careers.

The Master of Science in Business Analytics requires 10 courses (30 credits). Students complete a core of 7 required courses (21 credits) and then complete three courses (9 credits) in their track.

Introductory-level business course prerequisites in the following areas are required.


Prerequisite Courses
AreaCourseCredit(s)
StatisticsECON.2110 Statistics for business and Economics I3
MATH.2830 Introduction to Statistics, or equivalent3
Management Information Systems (MIS)MIST.2010 Business Information Systems3
MIST.6010 Management Information Systems, or equivalent3
Required Core Courses (7)
Course NumberCourse NameCredit(s)
Subtotal - Number of core credits required

21

MIST.6030Database Management3
MIST.6060Business Intelligence and Data Mining3
MIST.6150Data Quality for Business Analytics3
POMS.6120Statistics for Predictive Analytics3
POMS.6220Decision Analytics3
POMS.6240Analytic Decision Making Tools3
MIST.CAPSTOMIST.6490
OR
MIST.6890
Non-credit capstone review & Business Analytics Capstone Project
OR
Internship
3
Big Data and Applied AI Track Courses (choose 3)
Course NumberCourse NameCredits
Total9
MIST.6080Enterprise System Management3
MIST.6140Social and Economic Networks3
MIST.6160Advanced Data Mining3
MIST.6170Advanced Machine Learning3
POMS.6210Advanced Statistics for Business Analytics3

Last updated 12/2/25