Texas at Austin McCombs School of Business Master of Science in Business Analytics and AI (MSBAi)
Overview
The University of Texas at Austin McCombs School of Business Master of Science in Business Analytics and AI (MSBAi) program is a 10-month, STEM-designated program located at the Austin, Texas campus. The program equips recent college graduates with advanced capabilities to bridge data, machine learning, and AI workflows with business strategy, decision-making, and organizational impact.
| Program Attributes | UT Austin McCombs MSBAi Program Attributes |
| Program Type | Full time, in person, on-campus |
| Program Duration | 10 months, July – May |
| Program Location | Austin, TX, USA |
| Admissions Deadlines | October 13, January 12, March 30, May 4 |
| STEM Designation | Yes |
| Work Experience Requirement | Seeks recent college graduates and early-career professionals |
| Undergraduate Major Requirement | Seeks applicants who majored in STEM, business, economics, or equivalent academic backgrounds |
| 2026 – 2027 Tuition | $55,600 for Texas residents and $59,700 for non-Texas residents |
Curriculum
The Texas McCombs Master of Science in Business Analytics and AI (MSBAi) program offers a rigorous, specialized curriculum that allows students to master technical data science and artificial intelligence foundations while gaining core business acumen.
The MSBAi program spans three academic terms (Summer, Fall, and Spring) totaling 36 credit hours. The Summer term establishes essential foundations through core courses such as programming, data management, and introduction to machine learning. The Fall term intensifies technical training with required core courses including Advanced Machine Learning, Optimization I, Information Management, Analytics for Unstructured Data, and Financial Management. The Spring term focuses on advanced deployment, ethical frameworks, and specialized business applications through core and elective courses such as Unsupervised Learning, Optimization II, Artificial Intelligence Ethics, and specialized analytical tracks in marketing, supply chain, and financial technology. The academic journey culminates in an intensive Business Analytics Capstone project, where multidisciplinary student teams partner directly with corporate organizations to solve live, complex data and AI business problems.
Class Profile
The Texas McCombs Master of Science in Business Analytics and AI program cohort for the Class of 2027 enrolls 64 students. The average undergraduate GPA is 3.55, and the average GMAT score (for submitting applicants) is 655. The geographic and demographic distribution includes 33% Texas residents, 30% non-Texas domestic residents, 56% male students, and 44% female students. Undergraduate academic backgrounds span Engineering (14%), Information Technology (16%), and Business (8%), among other quantitative disciplines.
Careers
The Texas McCombs Master of Science in Business Analytics and AI program provides comprehensive career guidance, resume structuring, and interview preparation via dedicated career management services. Students receive personalized career coaching from professional staff, helping them to clarify their career goals, explore career paths, and master effective job-search techniques.
Students also benefit from direct access to top recruiters, corporate networking events, alumni panels, and the extensive power of the McCombs and UT Austin alumni network. Graduates achieve strong employment outcomes and competitive starting compensation across major industries, including Financial Services, Technology, and Consulting.
Tuition, Scholarships and Financial Aid
For the 2026-27 academic year, the Texas McCombs Master of Science in Business Analytics and AI tuition is $55,600 for Texas residents and $59,700 for non-Texas residents. This does not include other university fees, books, software, laptops, and living expenses which are estimated separately.
Regarding financial aid, all MSBAi applicants are evaluated for merit-based scholarships upon admission, and all applicants are eligible for private student loans. To be eligible for federal financial aid programs, U.S. applicants must submit a FAFSA. There are additional financial aid options for U.S. Veterans, including university-supported veteran benefits and financial planning resources managed directly through the financial aid office.
Admissions
To apply to the Texas McCombs Master of Science in Business Analytics and AI program, applicants need to submit the following materials:
- Online Application Form
- Professional resume or CV
- Two program-specific application essays (500-word maximum each) and one optional essay
- Official or unofficial transcripts from all higher education institutions attended
- Optional GRE or GMAT score report
- Official TOEFL, IELTS, or Duolingo English Test (DET) scores (required for international applicants, subject to exceptions)
- Two letters of recommendation (at least one from an academic connection or professor)
- Kira Talent video assessment (completed within 7 days of invitation)
- Non-refundable application fee ($65 for domestic applicants, $90 for international applicants)
Application Deadlines
The deadlines for the Texas McCombs Master of Science in Business Analytics and AI program are as follows:
- Round 1: Step 1 Due: October 13, 2026 | Steps 2–3 Due: October 20, 2026 | Decisions by: December 11, 2026
- Round 2: Step 1 Due: January 12, 2027 | Steps 2–3 Due: January 19, 2027 | Decisions by: March 26, 2027
- Round 3: Step 1 Due: March 30, 2027 | Steps 2–3 Due: April 6, 2027 | Decisions by: May 14, 2027
- Round 4: Step 1 Due: May 4, 2027 | Steps 2–3 Due: May 11, 2027 | Decisions by: June 4, 2027