Curriculum

The new MS in AI for Business curriculum emphasizes both AI and machine learning frameworks and data analytics, ensuring students understand how to apply and evaluate innovative technologies to maximize their impact.

Overview of the Íæż½ã½ãCox Master of Science in AI for Business

The MSAIB is a 32-credit degree program that can be completed in nine months (full-time) or 21-months (part-time). Classes begin annually in August, and are held daily on campus, with evening class options for part-time students.

The full-time program consists of two terms, split into two seven-week modules (A&B). Most courses will conclude at the end of each module, but a few courses will continue across both modules. The curriculum and requirements are the same for both full-time and part-time students, but coursework in the part-time program is completed over a longer period with fewer courses each term and module. All students will have a variety of electives for deeper study in areas of interest that complement core courses.

MSAIB Courses/Curriculum

MASTER OF SCIENCE IN AI FOR BUSINESS
Total Credit Hours: 32

Term 1 - Fall Credit Hours: 18
Fall Module A Courses
Data Visualization
Decision Modeling
Programming
Managerial Statistics
Managing Your Career
Fall Module B Courses
Generative AI for Business
Business Intelligence
Advanced Decision Modeling
Predictive AI




Term 2 - Spring Credit Hours: 16
Spring Module A Courses

AI Ethics
Synthetic Content
Big Data
One Elective (1) Course
Spring Module B Courses

Digital Strategy
Web/SM Analytics
One Elective (1) Course
One Elective (1) Course



Faculty: Learn from the Best

The Íæż½ã½ãCox faculty is made up of both researchers and practitioners who are experts in their fields. The majority of courses in the Master’s in AI for Business are taught by our Information Technology and Operations Management (ITOM) faculty, whose experience spans leadership roles at Fortune 500 companies, published peer-reviewed research in leading industry journals, and well-established connections in the infotech industry.

Meet the Faculty

Aren Cambre

Clinical Professor, Information Technology and Operations Management 

Dr. Aren Cambre is a clinical professor at the Cox School. With expertise in data analytics, web technologies, and digital transformation, he blends technical depth with strategic insight—ideal for teaching how AI drives business impact.


Sreekumar Bhaskaran

Professor, Information Technology and Operations Management

Bhaskaran is a full professor and endowed chair at the Cox School. His research consistently focuses on innovation and new product development. He continues to publish, alongside working closely with students on both AI coursework and student-led projects outside the classroom.


Vishal Ahuja

Associate Professor, Corrigan Research Professor

Regularly serving on community boards that lead healthcare innovation - with focus on optimization through AI - Ahuja brings a cross-section of academic research and AI knowledge to the classroom. He serves as faculty both at the Cox School and at UT Southwestern.

See more faculty
This graduate program at Íæż½ã½ãCox will have its first cohort in Fall 2026, contingent upon approval by the Íæż½ã½ãBoard of Trustees.