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.

Artificial intelligence is rapidly reshaping how organizations operate and innovate. A report by the World Economic Forum notes that nearly 90% of employers expect to adopt new AI technologies within the next five years, and federal projections show employment in computer and information fields is expected to grow by 23% from 2022 to 2032. 

Missouri S&T has been a national leader in computer science education since the early 1960s. The AI+X program builds on this foundation by preparing graduate students to integrate AI into engineering, science and technology applications.

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

Graduate Coordinator
Computer Science Department
Missouri University of Science and Technology
500 West 15th Street
325 Computer Science Building
Rolla, MO 65409-0350
Phone: 573-341-4491
E-mail: csgradcoord@mst.edu

Documents Needed

• 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

• Strong math skills
• Competency in a modern programming language
• Computer science core subjects, including:
• Algorithms
• Data Structures
• Discrete Mathematics & Automata

• National Physical Science Consortium Fellowship application
• GTA Application 
• GTA/GRA Assessment Procedures