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Master of Science in Applied AI

Missouri University of Science and Technology
Rolla , United States
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Program Details
Degree
Masters
Major
Artificial Intelligence | Computer Science | Data Science
Area of study
Information and Communication Technologies
Course Language
English
About Program

Program Overview

Master of Science in Applied Artificial Intelligence

The Master of Science in Applied Artificial Intelligence is a 31-hour curriculum that requires students to complete core courses, AI lecture course electives, and discipline-specific lecture course electives.


Degree Requirements

  • Computer Science:
    • Core Courses:
      • CS 5111: Bridge to Advanced Computing
      • CS 5206: Probability and Computing
      • CS 5400: Introduction to Artificial Intelligence
      • CS 6010: Seminar Course
    • 9 credit hours of AI lecture course electives
  • "X":
    • At least 12 credit hours of Discipline-Specific lecture course electives
    • At least 3 credit hours at the 6000-level

List of 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-5420: Introduction to Machine 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-5411: Natural Language Processing
  • CS-5421: Reinforcement Learning
  • CS-6408: Algorithmic Game Theory
  • CS-6411: Large Language Models

Entrance Requirements

Requirements for Admission

  • Documents needed:
    • Online application
    • Resume/CV
  • Undergraduate Coursework:
    • GPA of 3.0 over the last 2 years of undergraduate degree
  • GRE:
    • Not required, but applicants may elect to submit scores if they believe it demonstrates their potential for success
  • English Proficiency (International Applicants):
    • TOEFL: 80
    • IELTS: 6.5
    • PTE: 58
    • Duolingo: 115

Recommended Prior Knowledge

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

Program Information

The program is designed to provide students with a comprehensive education in applied artificial intelligence, preparing them for careers in this field.


Assistantship and Fellowship Opportunities

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