University of Dallas

How this program compares

At an estimated $28.1K in total tuition, the MS in Data Science & AI sits roughly 34% below the $42.4K average for AI master's programs in our database — placing it in the 42nd percentile on cost among the 531 we track at this level.

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.

Estimated total tuition is $28.1K, below the $42.4K average for AI master's programs in our database and in the 42nd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Advance as Data Scientist in Cross-Industry AI with data analytics expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $125,000.

Career Outcomes

Advance as Data Scientist in Cross-Industry AI with data analytics expertise

• 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

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.

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: Optional (varies by program)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)