

*Connect with your peers, faculty, and advisory council members
*Learn from industry experts
*Focus on networking, community building, and career development
*Dive deeper into your academics




Key Program Components
This part-time, online program has three components:
- Asynchronous online learning (self-paced)
- Synchronous live weekly meetings with faculty and peers (all held online, these meetings take place every Tuesday from 7:00-9:45 pm CST)
- Five required in-person immersives
ELECTIVE TOPICS
Students may choose electives based on areas of business:
- Finance
- Supply Chain and Marketing
- General Business Studies
Course Schedule
Summer #1
6 credits
- Core: Data Science Programming (3)
- Core: Information Management (3)
Fall #1
6 credits
- Core: Introduction to Machine Learning (3)
- Core: Financial Management (3)
Spring #1
5 credits
- Core: Advanced Machine Learning (3)
- Core: Analytics for Unstructured Data (2)
Summer #2
6 credits
- Core: Optimization-I (2)
- Core: Unsupervised Learning (2)
- Elective (2)
Fall #2
7 credits
- Core: Optimization-II (2)
- Core: Capstone Preparation (1)
- Elective (2)
- Elective (2)
Spring #2
6 credits
- Core: Capstone Project (2)
- Elective (2)
- Elective (2)
Learning Formats
This course is a blend of self-paced online learning and live online classes.
- All courses are held 100% online.
- Courses can be attended from anywhere in the United States.
- The 5 on-campus “immersives” will be held at The McCombs School of Business in Austin, Texas.
Important Dates: FUTURE STUDENTS
For incoming and prospective students: Class of 2027
April 1, 2025: Final application deadline
Immersive 1: Orientation: May 29 – May 31, 2025
Immersive 2: October 2025
Immersive 3: May 2026
Immersive 4: October 2026
Immersive 5: May 2027
First Class Day: June 5, 2025
Graduation: May 2027
Weekly meetings to be held on Wednesdays
Important Dates: CURRENT STUDENTS


Create Value for Your Organization
Leverage Data to Quantify Business Tradeoffs
Apply Analytics Across Different Business Areas
Impact Decision Making and Make Better Decisions
Gain Career Relevancy for the Long Term
Evaluate Tradeoffs of Emerging Business Models
QUESTIONS?
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