University of Denver

How this program compares

University of Denver's MS in Data Science and AI lists about $43.9K total tuition — about 2% above the $42.9K AI master's average (64th percentile in our data). It is one of the 54% 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.

It is one of 17 AI-related programs we track in Colorado, of which about 65% offer an online option. On price, it comes in higher than about 71% of the Colorado programs in our data, where typical tuition runs near $36.0K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $118,000.

Design, implement, and evaluate AI and machine learning solutions aligned with ethical standards and business requirements.

Budget planners should note $43.9K estimated total tuition (64th percentile among AI master's programs, above the $42.9K average). That puts it in the mid-range on price among comparable programs.

Career Outcomes

University of Denver positions this master track for AI Engineer careers — typical offers cluster around $118,000. Its focus on Generative AI and LLMs and Natural Language Processing (NLP) 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. 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

Admission to University of Denver's MS in Data Science and AI generally expects a bachelor's degree in a related field. Plan for the GRE, which this program lists as required (gre preferred for technical programs). 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: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions