The University of Texas at Dallas
MS in Business Analytics & Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $45K in total tuition, the MS in Business Analytics & Artificial Intelligence sits about 6% above the $42.4K average for AI master's programs in our database — placing it in the 66th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree with a competitive GPA, GRE or GMAT scores, and relevant quantitative background are required. Proof of English proficiency (TOEFL, IELTS) is needed for international applicants.
About This Program
UT Dallas's MS in Business Analytics & Artificial Intelligence combines a well-regarded business school with a strong quantitative orientation, set in the fast-growing Dallas–Fort Worth tech and corporate hub. The curriculum pairs analytics and AI with business decision-making.
UTD's strong industry connections across telecom, finance, and enterprise tech in North Texas make this a practical, ROI-focused option for students targeting applied analytics and AI roles.
Why students choose it: Quantitative business-AI degree with deep Dallas–Fort Worth corporate connections.
Career Outcomes
Lead as Data Scientist in Business AI with cybersecurity expertise
- 1. Data Scientist
- 2. Business Intelligence Analyst
- 3. AI Business Consultant
- 4. Predictive Analytics Manager
What You'll Learn
- Apply AI and machine learning models to solve business problems.
- Use analytics tools like Python, R, SAS, and Tableau for data analysis.
- Perform predictive and prescriptive analytics on business datasets.
- Develop data-driven strategies integrating AI with business intelligence.
Curriculum Highlights
The curriculum features 18 core hours in database foundations and econometrics, with tracks in cybersecurity, data engineering, and accounting analytics.
Top Employers
Top employers include tech firms like Google, Amazon, and Microsoft, consulting companies like McKinsey and Deloitte, and financial institutions like JPMorgan Chase.
Admissions
A bachelor's degree with a competitive GPA, GRE or GMAT scores, and relevant quantitative background are required. Proof of English proficiency (TOEFL, IELTS) is needed for international applicants.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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