Missouri S&T’s applied artificial intelligence master’s degree is a 31-credit, non-thesis program featuring project-based coursework and interdisciplinary learning. 
 
Students personalize their degree by selecting up to four elective courses connected to applied AI in a STEM discipline, such as: 

• Aerospace engineering
• Chemical engineering
• Civil engineering
• Mechanical engineering
• Systems engineering
• Biology
• Mathematics
• Physics 

This AI+X structure allows students to combine deep AI knowledge with domain expertise.

• Online application
• Resume/CV
• Undergraduate Coursework
  • GPA of 3.0 over the last 2 years of undergraduate degree
• GRE
  • Not required. However, applicants who believe their GRE scores better demonstrate their potential for success in the AI+X program may elect to submit those scores
• English Proficiency (International Applicants)
  • TOEFL: 80 | IELTS: 6.5 | PTE: 58 | Duolingo: 115

For more and additional details for online master's degree applicants:

Master's Admissions  

Core Courses (Required)

• CS 5111: Bridge to Advanced Computing
• CS 5206: Probability and Computing
• CS 5400: Introduction to Artificial Intelligence
• CS 6010: Seminar

Artificial Intelligence Electives

• Complete 9 credit hours of AI lecture-course electives offered through the Computer Science department.

Discipline-Specific Electives

• At least 12 credit hours of discipline-specific lecture-course electives within the selected STEM field.
• At least 3 credit hours must be completed at the 6000 level.

Potential AI Electives

• CS 5401: Evolutionary Computing
• CS 5402: Introduction to Data Mining
• CS 5403: Introduction to Robotics
• CS 5404: Introduction to Computer Vision
• CS 5408: Game Theory for Computing
• CS 5411: Natural Language Processing
• CS 5420: Introduction to Machine Learning
• CS 5421: Reinforcement Learning
• CS 5480: Deep Learning
• CS 6202: Markov Decision Processes
• CS 6400: Advanced Topics in Artificial Intelligence
• CS 6401: Advanced Evolutionary Computing
• CS 6402: Advanced Topics in Data Mining
• CS 6405: Clustering Algorithms
• CS 6406: Machine Learning for Computer Vision
• CS 6408: Algorithmic Game Theory
• CS 6411: Large Language Models

Prior to acceptance into the program, you may enroll in up to 6 credit hours as a nondegree-seeking (in some cases, post-baccalaureate) student. Enrollment does not guarantee acceptance. Learn more about nondegree-seeking university student admissions.

If you live outside of Missouri and are thinking about enrolling in a program that leads to professional licensure, the University of Missouri System strongly recommends that you check with the relevant licensing board in your state or the state where you plan to work. This will help you obtain the most current information about state licensure requirements before you enroll in any academic program. While Missouri University of Science & Technology strives to provide current licensure information, it's important to note that licensure regulations are subject to change.

For more details, please visit our licensure and disclosure page.

States require that Missouri University of Science and Technology be authorized to deliver university-level distance/online education to their residents. The process for authorization varies by state.

For more details, please visit our state authorization page.

Authorized 

Students residing in all states are eligible to enroll in this program.

Educational internships are encouraged to help you apply your specialized field of study in real-world settings. You can learn more about available opportunities on S&T's Career Opportunities page.

Our academic leaders are experts in their respective disciplines and bring extensive experience in higher education, industry, and departmental management. You can learn more about the Computer Science Faculty at S&T.