MasterOn-Campus, OnlineFlexible

The University of Texas at Dallas

MS in Business Analytics and Artificial Intelligence

Richardson, Texas2 years$45K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $45K in total tuition, the MS in Business Analytics and Artificial Intelligence sits about 6% above the $42.4K average for AI master's programs in our database β€” 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.

Est. Salary$120,000
Job Growth+35%
Top RoleData Scientist
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$45K total
Format
On-Campus, Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: A bachelor's degree with a minimum GPA of 3.0 is required, along with quantitative background in statistics, programming, or related fields; GRE is required for most applicants.

About This Program

This STEM-designated program provides the knowledge needed for roles in data science and engineering within business domains. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $45K, above the $42.4K average for AI master's programs in our database and in the 66th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Position as Data Scientist in Business AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

Position as Data Scientist in Business AI with machine learning expertise

  • 1. Data Scientist
  • 2. Business Intelligence Analyst
  • 3. AI Business Analyst
  • 4. Predictive Analytics Consultant

What You'll Learn

  • Apply AI and machine learning techniques to solve business problems.
  • Use analytics tools like Python, R, and SAS for data analysis and visualization.
  • Develop predictive and prescriptive models for strategic decision-making.
  • Analyze big data and perform advanced statistical modeling in business contexts.

Curriculum Highlights

The curriculum includes tracks in accounting analytics, cybersecurity analytics, data engineering, and data science with flexible delivery options.

Top Employers

Top employers include tech giants like Google, Amazon, and Microsoft, consulting firms such as Deloitte and McKinsey, and financial institutions like JPMorgan Chase.

Admissions

A bachelor's degree with a minimum GPA of 3.0 is required, along with quantitative background in statistics, programming, or related fields; GRE is required for most 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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