The University of Utah

How this program compares

Budget-wise, $31K puts this master's program at the 46th percentile on cost — roughly 28% below the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Applications are coordinated through Kahlert School of Computing graduate admissions (see published contact email on the graduate page). GPA prerequisites, test policies, and portfolio expectations change by year—use the live admissions FAQ.

About This Program

This entry maps to the Computing (not generic CS “no track”) graduate degree at Utah, with explicit selection of the Artificial Intelligence track directed by faculty leadership listed on the school’s graduate programs page. Coursework concentrates on Machine Learning and Natural Language Processing. Most students complete it in about 2 years.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $125,000.

Study AI as a computing discipline spanning learning, reasoning, perception, and human–machine interaction themes.

Budget planners should note $31K estimated total tuition (46th percentile among AI master's programs, below the $42.9K average). That puts it in the mid-range on price among comparable programs.

It is one of 11 AI-related programs we track in Utah, of which about 36% offer an online option. On price, it comes in higher than about 64% of the Utah programs in our data, where typical tuition runs near $41.2K.

Career Outcomes

The University of Utah positions this master track for Machine Learning Engineer careers — typical offers cluster around $125,000. Its focus on Machine Learning and Natural Language Processing maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. NLP Engineer
• 4. Robotics / Perception Engineer

What You'll Learn

• Study AI as a computing discipline spanning learning, reasoning, perception, and human–machine interaction themes.
• Align electives and research with AI track expectations published in the current graduate handbook.
• Prepare for research careers or advanced industry roles requiring depth in ML and intelligent systems.
• Collaborate across Utah’s multi-disciplinary AI and imaging research ecosystem where relevant.

Curriculum Highlights

The University of Utah Kahlert School of Computing offers MS and PhD degrees through the Computing program, where students select a specialization track. The Artificial Intelligence track focuses on theory and methods underlying intelligent behavior and implementations in computing systems, with faculty spanning perception, learning, reasoning, NLP, robotics, and related areas. Detailed course requirements and milestones are specified in the annual graduate student handbook for the Computing program.

Top Employers

Utah graduates recruit into regional technology employers, national labs, and major product companies; consult official career outcome disclosures for cohort-level detail.

Admissions

Admission to The University of Utah's MS in Computing (Artificial Intelligence track) generally expects a bachelor's (often quantitative or computing-related). Plan for the GRE, which this program lists as verify current test policy for computing ms admissions. 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 (typical for computing MS)
• Letters of recommendation: Confirm required count on current application
• Resume / CV: Required
• Transcripts: Official transcripts required
• English proficiency for international applicants

Frequently Asked Questions