University of Denver

How this program compares

At an estimated $43.9K in total tuition, the MS in Data Science and AI sits about 3% above the $42.4K average for AI master's programs in our database — placing it in the 65th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree with a strong foundation in mathematics, statistics, or computer science. A GPA of 3.0 or higher and relevant technical coursework are typically required; work experience in data-related fields is preferred but not mandatory.

About This Program

This flexible 36-48 credit online program prepares working professionals to lead AI projects by combining technical expertise in data modeling with responsible data practices across the entire lifecycle. Coursework concentrates on Generative AI and LLMs and Natural Language Processing (NLP). Most students complete it in about 2 years.

Estimated total tuition is $43.9K, above the $42.4K average for AI master's programs in our database and in the 65th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Position as AI Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $118,000.

Career Outcomes

Position as AI Engineer in Cross-Industry AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Solutions Architect
• 4. Data Engineering Manager

What You'll Learn

• Design, implement, and evaluate AI and machine learning solutions aligned with ethical standards and business requirements
• Develop data pipelines, perform advanced data wrangling, and optimize databases for large-scale data processing
• Apply statistical methods, neural networks, and deep learning techniques to complex data analysis problems
• Communicate data-driven insights effectively to technical and non-technical audiences using visualization and storytelling techniques

Curriculum Highlights

The industry-aligned curriculum features courses in algorithms for data science, MLOps, and parallel computing, with an optional for-credit internship and the ability to transfer credits from certifications.

Top Employers

Top employers include technology companies like Google, Amazon, Microsoft, and Meta, along with financial institutions, healthcare organizations, and consulting firms specializing in AI and analytics.

Admissions

Applicants must hold a bachelor's degree with a strong foundation in mathematics, statistics, or computer science. A GPA of 3.0 or higher and relevant technical coursework are typically required; work experience in data-related fields is preferred but not mandatory.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree in a related field
• GRE/GMAT: Required (GRE preferred for technical programs)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)