Missouri University of Science and Technology offers a Master of Science in Applied Artificial Intelligence built around an interdisciplinary AI+X model. Students combine graduate artificial intelligence coursework with advanced study in another STEM field.
The 31-credit, non-thesis program includes a computing and AI core, nine credits of artificial intelligence electives, and at least 12 credits in a selected technical discipline. Missouri S&T launched the degree for Fall 2026.
The curriculum includes options in machine learning, deep learning, natural language processing, large language models, computer vision, reinforcement learning, robotics, and data mining.
Program Quick Facts
| Degree | Master of Science in Applied Artificial Intelligence |
| School | Missouri University of Science and Technology |
| Location | Rolla, Missouri |
| Format | Campus |
| Credits | 31 |
| Typical Length | About 2 years |
| Thesis Required | No |
| GRE Required | No |
| Minimum GPA | 3.0 over the final two undergraduate years |
| Program Launch | Fall 2026 |
Missouri S&T M.S. in Applied Artificial Intelligence
Applied AI Curriculum
Students complete 31 graduate credits. The program combines required computing and AI courses with artificial intelligence electives and graduate coursework in another STEM discipline.
| Requirement | Credits |
|---|---|
| Core courses | 10 |
| Artificial intelligence electives | 9 |
| Discipline-specific electives | 12 |
| Total | 31 |
At least nine credits across the degree must come from 6000-level lecture courses.
Required Core Courses
- COMP SCI 5111 – Bridge to Advanced Computing
- COMP SCI 5206 – Probability and Its Applications in Computing
- COMP SCI 5400 – Introduction to Artificial Intelligence
- COMP SCI 6010 – Seminar
Students who already hold a bachelor’s degree in computer science may receive an alternative requirement for COMP SCI 5111.
Artificial Intelligence and Machine Learning Courses
Students complete at least nine credits of AI lecture electives. The catalog includes options such as:
- COMP SCI 5402 – Introduction to Data Mining
- COMP SCI 5403 – Introduction to Robotics
- COMP SCI 5404 – Introduction to Computer Vision
- COMP SCI 5411 – Natural Language Processing
- COMP SCI 5420 – Introduction to Machine Learning
- COMP SCI 5421 – Reinforcement Learning
- COMP SCI 5480 – Deep Learning
- COMP SCI 6202 – Markov Decision Processes
- COMP SCI 6402 – Advanced Topics in Data Mining
- COMP SCI 6405 – Clustering Algorithms
- COMP SCI 6406 – Machine Learning for Computer Vision
- COMP SCI 6411 – Large Language Models
View the Missouri S&T Applied AI graduate catalog
AI+X STEM Electives
The program’s AI+X structure lets students apply artificial intelligence to another technical field. Students complete at least 12 credits of discipline-specific electives, including at least three credits at the 6000 level.
Missouri S&T identifies possible areas that include aerospace engineering, chemical engineering, civil engineering, mechanical engineering, systems engineering, biology, mathematics, and physics.
This structure may appeal to engineers and scientists who want to use AI within their existing profession rather than switch into a general computer science degree.
How Long Does the Missouri S&T Applied AI Master’s Take?
Missouri S&T does not publish a fixed completion time for the 31-credit degree. For directory purposes, about 2 years is a reasonable estimate for a full-time student.
A student averaging about eight credits per semester could complete the curriculum in four regular semesters. Actual completion time depends on course availability and the student’s selected AI+X discipline.
Tuition and Cost
Missouri S&T lists tuition for its online graduate programs at $1,200 per credit hour for Summer/Fall 2026 and Spring 2027. The M.S. in Applied Artificial Intelligence requires 31 credit hours.
Based on the published online rate:
| Tuition Per Credit | $1,200 |
| Credits Required | 31 |
| Estimated Tuition | $37,200 |
The $37,200 estimate reflects tuition for the 31-credit degree at the current published online graduate rate. It does not include books or other applicable university charges. Missouri S&T notes that its Miner Book Bundle fee is charged separately.
Campus students may pay a different rate based on residency and the tuition tier assigned to their degree. Missouri S&T charges graduate campus tuition on a per-credit basis, with rates varying by degree plan and residency.
Students should confirm current charges through the Missouri S&T tuition rate page before enrolling.
For students comparing programs by price, the most useful current figure is about $37,200 in tuition for the 31-credit online M.S. in Applied Artificial Intelligence.
View current Missouri S&T graduate tuition rates
Admission Requirements
The program is intended primarily for applicants with a STEM background. Missouri S&T lists a 3.0 GPA over the final two years of undergraduate study as the general academic standard.
- Graduate application
- Resume or CV
- 3.0 GPA during the final two undergraduate years
- Appropriate undergraduate preparation
The GRE is not required. Applicants may submit scores if they believe the results strengthen their application.
The department recommends strong mathematics skills, experience with a modern programming language, and familiarity with subjects such as algorithms, data structures, discrete mathematics, and automata. International applicants must also meet Missouri S&T’s English-language proficiency requirements.
Who Is This Program Best For?
The Missouri S&T Applied AI master’s may be a strong fit for students who want substantial AI coursework while keeping a connection to engineering, science, mathematics, or another technical field.
- Engineers who want to apply AI and machine learning in engineering work
- STEM graduates who want advanced AI training without completing a general computer science master’s
- Students interested in machine learning, deep learning, NLP, LLMs, computer vision, reinforcement learning, or data mining
- Students who prefer a coursework-based, non-thesis master’s
- Students who want to combine AI with another technical discipline
Missouri S&T Applied AI Master’s: Bottom Line
Missouri S&T’s M.S. in Applied Artificial Intelligence is one of the more focused AI graduate degrees in Missouri. The 31-credit, non-thesis curriculum provides substantial coursework in AI and machine learning while reserving 12 credits for another STEM discipline.
The breadth of AI electives is a major strength. Students can study machine learning, deep learning, natural language processing, large language models, computer vision, reinforcement learning, robotics, and data mining within the same degree.
Visit the official Missouri S&T M.S. in Applied Artificial Intelligence program page
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