University of Dallas

How this program compares

University of Dallas's MS in Data Science & AI lists about $28.1K total tuition — roughly 35% below the $42.9K AI master's average (40th percentile in our data). It runs on a flexible schedule (on-campus, hybrid).

Admission Snapshot

Typical admitted student: Applicants typically need a bachelor's degree with a strong foundation in mathematics, statistics, or computer science, along with a competitive GPA (3.0+). Some programs require GRE scores, though many have made them optional.

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 Machine Learning and MLOps/AI Engineering. Most students complete it in about 1.5 years.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in higher than about 55% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $125,000.

Master machine learning algorithms, neural networks, and deep learning techniques for solving complex analytical problems.

At roughly $28.1K total, University of Dallas's MS in Data Science & AI sits below the $42.9K average among AI master's programs we track — the 40th percentile on price. That puts it in the mid-range on price among comparable programs.

Career Outcomes

University of Dallas positions this master track for Data Scientist careers — typical offers cluster around $125,000. Its focus on Machine Learning and MLOps/AI Engineering maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. AI Specialist / AI Consultant
• 4. Business Analytics Manager

What You'll Learn

• Master machine learning algorithms, neural networks, and deep learning techniques for solving complex analytical problems
• Develop expertise in statistical modeling, data engineering, and predictive analytics
• Learn to preprocess, visualize, and communicate insights from large datasets using industry-standard tools
• Apply AI and machine learning methods to domain-specific problems in business, science, and technology

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 tech companies like Google, Amazon, Microsoft, Meta, as well as financial firms, healthcare organizations, and consulting companies leveraging AI and data science capabilities.

Admissions

Admission to University of Dallas's MS in Data Science & AI generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions