The University of Utah
MS in Computing (Artificial Intelligence track)
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
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.
Career Outcomes
Pursue an MS through the Kahlert School of Computing’s Computing program with specialization in the Artificial Intelligence track.
- 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
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.
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
Academic Requirements
- Degree Required: Bachelor's (often quantitative or computing-related)
- GRE/GMAT: Verify current test policy for Computing MS admissions
- TOEFL/IELTS: Per University of Utah graduate admissions
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