The Utah Tech University Master in Artificial Intelligence is a 30-credit professional degree built around machine learning, deep learning, natural language processing, computer vision, and applied projects. The HyFlex cohort program takes two calendar years and targets students who want to design, build, and deploy AI systems for industry rather than prepare mainly for doctoral research.
Utah Tech Master in Artificial Intelligence Quick Facts
| School | Utah Tech University |
| Location | St. George, Utah |
| Degree | Master in Artificial Intelligence (MAI) |
| Credits | 30 credits |
| Format | Hybrid (HyFlex) |
| Tuition | $16,500 estimated at $550 per credit |
| Length | 2 years across 6 semesters |
| AI and ML Focus | Machine learning, deep learning, NLP, computer vision, generative AI, and applied projects |
Curriculum
The official 30-credit curriculum combines six lecture courses with four project courses. The first 15 credits also form Utah Tech’s Post-Baccalaureate Certificate in Applied Artificial Intelligence and Machine Learning, which gives students a stackable credential on the way to the master’s degree.
The machine learning foundation covers data processing, model selection, validation, production pipelines, regression, decision trees, support vector machines, ensemble methods, and neural networks. Deep learning coursework extends into convolutional networks, transformers, image tasks, and language models. The later NLP and computer vision courses focus on building, fine-tuning, evaluating, and interpreting modern models.
Students may also complete an independent AI and machine learning project as an elective. Project credit totals vary by course registration, but the complete degree remains 30 credits.
Credits and Program Length
Students complete 30 graduate credits in a fixed cohort structure. Utah Tech states that the program is designed for completion in six semesters, or two calendar years. The fall cohort model supports continuity across the four linked project courses.
Graduation requires a cumulative 3.0 GPA and a grade of B- or higher in every course. Students must earn at least 20 credits at Utah Tech. The university may approve up to 10 transfer credits from an accredited institution.
Tuition and Cost
Utah Tech lists 2026–27 tuition for the Master in Artificial Intelligence at $550 per credit. Multiplying that rate by 30 credits produces estimated program tuition of $16,500.
The university’s MAI tuition table lists tuition rather than a separate tuition-and-fee total. The estimate therefore excludes books, equipment, travel, living expenses, course-specific charges, and future tuition increases. Students should confirm their full bill with Utah Tech before enrolling.
Admissions
Applicants need a bachelor’s degree from a regionally accredited institution in computer science, engineering, mathematics, or another related technical field. Utah Tech also permits applicants with a bachelor’s degree in another area if they have at least two years of professional software development experience.
Applicants submit the university’s online graduate application. Students whose native language is not English must meet Utah Tech’s graduate English proficiency policy. The program enrolls a new cohort each fall. Students already completing the stackable AI and machine learning certificate may request internal progression into the MAI instead of filing a new application.
Machine Learning and AI Focus
This degree is one of the clearest fits for a machine learning program directory. Every required course centers on AI, machine learning, deep learning, NLP, computer vision, or an applied AI project. Students build complete pipelines that cover data collection, preprocessing, model training, evaluation, interpretation, and deployment.
The program also addresses generative AI, large language models, intelligent systems, fairness, transparency, privacy, and responsible deployment. Its technical focus separates it from management-oriented AI degrees that require little programming.
HyFlex Format
Utah Tech identifies the MAI delivery format as HyFlex. HyFlex courses usually allow students to participate through more than one attendance mode, but the catalog does not label the degree as fully online. This profile therefore classifies it as Hybrid. Applicants should ask the department whether remote attendance is available for every required course and whether any campus visits are required.
Applied Projects and Capstone
Four consecutive project courses account for 12 of the 30 credits. Faculty guide students through industry-focused work that connects technical methods with real problems. The final course, CS 6353: Artificial Intelligence and Machine Learning Project 4, serves as the capstone and builds on the earlier project sequence.
This structure gives students repeated chances to develop portfolio work instead of relying on one final project. The catalog does not list a thesis option, which matches the program’s professional focus.
Who Is This Program Best For?
Bottom Line
Utah Tech offers a focused and affordable professional AI master’s degree. The program requires 30 credits, takes two years, and has estimated tuition of $16,500. Its strongest feature is the combination of six technical courses and four applied project courses. Students who need a fully online degree should confirm the HyFlex attendance rules before applying.
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