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 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.

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+)