University of Dallas
MS in Data Science & Artificial Intelligence
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 $46.8K in total tuition, the MS in Data Science & Artificial Intelligence sits about 10% above the $42.4K average for AI master's programs in our database β placing it in the 67th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, mathematics, statistics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in algorithms or statistics. GRE scores are often optional, and relevant work experience may strengthen applications.
About This Program
This STEM-designated program focuses on using data analytics and artificial intelligence to support ethical business decisions. It emphasizes practical tools and the human dimensions of technology. Coursework concentrates on MLOps/AI Engineering and AI Engineering / Applied AI. Most students complete it in about 2 years.
Estimated total tuition is $46.8K, above the $42.4K average for AI master's programs in our database and in the 67th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Thrive as Data Scientist in Business AI with data analytics expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.
Career Outcomes
Thrive as Data Scientist in Business AI with data analytics expertise
- 1. Data Scientist
- 2. Machine Learning Engineer
- 3. AI Research Scientist
- 4. Data Analyst
What You'll Learn
- Develop and implement machine learning models for predictive analytics.
- Apply deep learning techniques to process and analyze large datasets.
- Design AI systems for natural language processing and computer vision tasks.
- Perform data mining to extract insights from complex datasets.
Curriculum Highlights
The 36-hour curriculum features courses in cloud computing, SQL, and business applications of AI. It includes experiential AI projects and topics like forecasting and ethical data use.
Top Employers
Top employers include Google, Amazon, Microsoft, and Meta.
Admissions
A bachelor's degree in computer science, mathematics, statistics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in algorithms or statistics. GRE scores are often optional, and relevant work experience may strengthen applications.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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