The University of Texas at Dallas

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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

This STEM-designated program provides the theoretical and practical knowledge needed for data science and analytics roles in various business domains.

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+)