Neumont University MS in Applied Artificial Intelligence

Neumont University offers an online Master of Science in Applied Artificial Intelligence built around programming, machine learning, data analysis, and applied AI projects. The accelerated program takes 18 months and uses live online classes that are recorded for students with scheduling conflicts.

Quick Facts

SchoolNeumont University
LocationSalt Lake City, Utah
DegreeMaster of Science in Applied Artificial Intelligence
Credits36
FormatOnline with live, recorded class sessions
Tuition$22,500, plus technology fees
Length18 months
Schedule6 credits per 10-week quarter for 6 quarters
AI and ML focusMachine learning, NLP, predictive modeling, prompt engineering, and AI development

Curriculum

The MSAAI curriculum follows a fixed six-quarter sequence. Students begin with programming and introductory AI before moving into data analysis, two machine learning courses, applied AI tools, and a final capstone.

Quarter 1BIT 510 Programming for Artificial Intelligence
CSC 505 Introduction to Artificial Intelligence
Quarter 2BIT 515 Data Analysis and Interpretation
BIT 515P Data Analysis and Interpretation Project
Quarter 3CSC 525 Machine Learning I
CSC 525P Machine Learning I Tools and Project
Quarter 4CSC 535 Machine Learning II
CSC 535P Machine Learning II Tools and Project
Quarter 5CSC 545 AI Tools and Practical Applications
CSC 545P AI Tools and Practical Applications Project
Quarter 6BIT 555 Survey of Additional AI Topics
PRO 590 AI Capstone Project

This sequence gives the degree more technical depth than an AI management program. Neumont identifies Python and Anaconda, ML.NET, machine learning, data analysis, natural language processing, predictive modeling, prompt engineering, and code-assisting tools as major areas of study.

Credits and Program Length

The program requires 36 credits. Students take six credits during each of six quarters and finish in 18 months. Each quarter lasts 10 weeks, and Neumont schedules starts around January, April, July, and October.

The schedule is accelerated but predictable. Students generally complete two courses per quarter, including paired lecture and project courses during the data analysis and machine learning portions of the program.

Tuition and Cost

Neumont publishes total program tuition of $22,500, divided into six quarterly payments of $3,750. The university’s graduate tuition page also lists a $100 technology fee per quarter. This brings estimated tuition and technology fees to $23,100 across six quarters.

The estimate does not include the $100 enrollment deposit or books and supplies, which Neumont estimates at $70 per quarter. Part-time students taking five or fewer credits pay $625 per credit. Eligible Neumont alumni and industry professionals may qualify for institutional grants or scholarships.

Admissions

Applicants must hold a bachelor’s degree from an accredited institution. Neumont also expects applicants to have basic computer proficiency and prior college-level work in an object-oriented programming language such as Python, Java, C++, or C#.

The stated preparation also includes college algebra, spreadsheet proficiency, and an understanding of basic statistics. These prerequisites make the program a better match for applicants with some coding and quantitative experience than for students starting from a nontechnical background.

Online Format and Weekly Schedule

Neumont classifies the MSAAI as a 100% online program. Classes meet in live sessions through Zoom or similar software, and Neumont records the sessions for students who have scheduling conflicts. The program also includes weekly virtual labs or discussions.

The live component provides regular contact with instructors and classmates, but students should confirm current meeting times before enrolling. A fixed six-credit quarterly sequence may offer less scheduling flexibility than a fully asynchronous program.

Machine Learning and Applied AI Focus

Machine learning forms the center of the degree rather than a single elective. Students complete Machine Learning I and Machine Learning II, with a separate tools-and-project course paired with each class. The curriculum also covers introductory AI, data analysis, natural language processing, predictive modeling, and AI development tools.

The program favors implementation and workplace use over academic research. Students can use problems from their current employers as course projects and may apply the capstone to an employer’s needs. This structure suits professionals who want to build or deploy AI systems in business settings.

AI Capstone Project

The degree ends with PRO 590 AI Capstone Project. Students develop an applied project that brings together programming, data analysis, machine learning, and AI tools. Neumont specifically allows students to connect the capstone with a real problem at their current employer.

Accreditation and School Type

Neumont University is a small, private, for-profit university focused on computing and technology. The university holds institutional accreditation from the Northwest Commission on Colleges and Universities. Its school model differs from a large public research university, but the MSAAI is a dedicated graduate AI degree with a defined technical curriculum.

Who Is This Program Best For?

Goal or backgroundWhy Neumont may fit
Fast online completionThe fixed program takes 18 months.
Prior technical preparationAdmissions expects programming, algebra, spreadsheets, and basic statistics.
Live online instructionClasses meet live and recordings support scheduling conflicts.
Applied workplace projectsCourse projects and the capstone can address an employer’s needs.
Substantial machine learning studyThe sequence includes Machine Learning I and II plus paired project courses.

Bottom Line

Neumont’s MS in Applied Artificial Intelligence is a strong inclusion for students comparing Utah-based online AI degrees. Its main strengths are a focused 36-credit curriculum, two-course machine learning sequence, project-based instruction, and a clear $22,500 tuition price. Prospective students should weigh the accelerated fixed schedule, required technical preparation, live class meetings, and Neumont’s private for-profit model against their preferences.