• Skip to Content
  • AZ Index
  • Catalog Home
  • Institution Home
West Virginia University 2025-26 Academic Catalog
WVU Home
Would you like to search this site specifically, or all WVU websites?
  • Catalog Home
  • WVU Morgantown
    • Undergraduate Catalog
    • Graduate/​Professional Catalog
  • WVU Potomac State College
    • Applied Sciences
    • Liberal Arts
    • STEM
    • Regents Bachelor of Arts
  • WVU Institute of Technology
    • School of Arts and Sciences
    • School of Business
    • School of Engineering-​Leonard C. Nelson
    • School of Nursing
  • Archived Catalogs
  • Catalog Home/
  • WVU Morgantown/
  • Graduate/Professional Catalog/
  • Engineering and Mineral Resources- Benjamin M. Statler College of/
  • Department of  Computer Science and Electrical Engineering/
  • Artificial Intelligence
WVU Morgantown

Artificial Intelligence, M.S.

  • Overview
  • Admissions Requirements
  • Masters
  • Learning Outcomes

Degree Offered

  • Master of Science

Nature of the Program

The Lane Department of Computer Science and Electrical Engineering offers the Master of Science in Artificial Intelligence (M.S.A.I.), a fully online graduate program designed to prepare students for real-world, industry-ready roles in today’s rapidly evolving AI landscape. Tailored for professionals and recent graduates with foundational knowledge or practical experience in computer science or related fields, the program blends theoretical foundations with applied skills in machine learning, intelligent systems, and data-driven decision-making. With five core courses and five electives that can be customized to individual interests, students gain the ability to design, implement, test, and critically evaluate AI techniques across a range of domains, including healthcare, cybersecurity, energy systems, and intelligent automation. The flexible structure supports full-time professionals, career changers, recent graduates, and aspiring researchers alike, providing a rigorous yet accessible pathway into one of the most in-demand fields of the future.

Program Educational Objectives

The objective of the program is to produce graduates who have the knowledge, skills, and mindset that will ensure success in professional positions in business, industry, research, or governmental service. After completing the required core and elective courses, students will achieve proficiency in:

  • Artificial Intelligence Concepts and Methodologies, including supervised, unsupervised, and generative AI.
  • Application of AI Techniques across a variety of domains such as robotics, health informatics, cybersecurity, and energy systems.
  • Development of Novel AI Solutions, with the ability to design, implement, and evaluate new algorithms and tools.
  • AI Research Methods, including the ability to conduct and interpret research and communicate results effectively to diverse audiences.
  • Ethical and Societal Implications of AI, including understanding bias, fairness, accountability, and the broader impact of AI technologies.

Admissions for 2026-2027

  • Submit a personal statement.  Personal statements should be 750 to 1,000 words and double-spaced. This is an opportunity to tell the admissions committee more about your reasons to earn this degree and should not repeat the information on your resume.
  • Submit two (2) professional and/or educational references.
  • Submit official transcripts showing degree completion of a bachelor’s degree in computer science, computer engineering, cybersecurity, or a closely related field from an accredited University, with a minimum cumulative grade point average of 3.0 (on a 4-point scale) or better. 
    • ​Students with a degree in other fields of study from accredited institutions, but having at least one year experience in cybersecurity/AI/ML may be considered for provisional admission. One year experience should be highlighted through reference letter(s) and other documents. Provisional students will be required to complete three core courses with a ‘B’ or above. After successful completion of three core courses, the student will move to regular graduate status.
  • Submit a resume that reflects your education and experience.
  • Submit a resume that reflects your education and experience.
  • International applicants must meet the WVU requirement of English language proficiency.

Major Code: 3028

Curriculum in Master of Science in Artificial Intelligence

A candidate for the M.S. degree in artificial intelligence must comply with the rules and regulations as outlined in the WVU Graduate Catalog and the specific requirements of the Statler College and the Lane Department of Computer Science and Electrical Engineering.

Program Requirements

All M.S. degree candidates are required to follow a planned program of study. The student’s faculty advisor, in conjunction with the student’s Advising and Examining Committee (AEC) will be responsible for determining the plan of study appropriate to the student’s needs. The Masters of Science in Artificial Intelligence degree is designed to students a solid grounding and competence in the theories, technologies and applications of artificial intelligence.  This degree program offers students a robust curriculum in computer science and data science topic while, also offering students with an opportunity to explore artificial intelligence developments and applications in other discipline areas.  

Curriculum Requirements

Course List
Code Title Hours
A minimum cumulative GPA of 3.0 is required
Up to six (6) credit hours can be at the 400 level
Required Courses
CS 560Big Data Engineering3
CS 574Responsible and Safe AI3
CS 677Pattern Recognition3
CS 676Machine Learning3
CPE 520Application of Neural Networks3
Elective Courses15
CPE 553
Advanced Networking Concepts
CPE 620
Deep Learning
CS 460
Introduction to Big Data Engineering
CS 472
Artificial Intelligence
CS 573
Advanced Data Mining
CS 678
Computer Vision
CS 693
Special Topics *
CYBE 564
Software Engineering of Mobile Applications
or SENG 564
Software Engineering of Mobile Applications
CYBE 650
Cloud Computing for the Internet of Things
or SENG 650
Cloud Computing for the Internet of Things
EE 513
Stochastic Systems Theory
EE 465
Introduction to Digital Image Processing
EE 565
Advanced Image Processing
EE 668
Information Theory
*A maximum of six credit hours of CS 693 may applied to degree completion.
Total Hours30

Major Learning Outcomes

Artificial Intelligence

  • Have knowledge of the general concepts and principles of artificial intelligence, and the various areas of artificial intelligence technologies and methodologies.                
  • Understand the applicability of artificial intelligence technologies and methodologies across a range of problem domains.                
  • Have the ability to develop new artificial intelligence (AI) techniques, and to apply principles and methods of AI to a variety of application domains.       
  • Have the ability to engage in artificial intelligence research, to interpret the findings of artificial intelligence research, and to communicate findings to technical and non-technical audiences.                
  • Have the ability to apply artificial intelligence methodologies to address issues in a professional or academic area of interest.                
  • Understand the ethical and societal implications of artificial intelligence development and deployment in modern society.                
  • Department of Chemical and Biomedical Engineering
  • Department of Civil and Environmental Engineering
  • Department of Computer Science and Electrical Engineering
    • Artificial Intelligence
    • Computer Engineering
    • Computer Science
    • Electrical Engineering
    • Software Engineering
  • Department of Industrial and Management Systems Engineering
  • Department of Mechanical, Materials &​ Aerospace Engineering
  • Department of Mining Engineering
  • Department of Petroleum and Natural Gas Engineering
  • College Wide Degrees

WVU Morgantown

Graduate/Professional Catalog Information

  • Academic and Professional Standards
  • Accelerated Programs
  • Admissions
  • Advising, Enrollment and Evaluation
  • Calendar
  • Courses
  • Degree Regulations
  • FERPA
  • Financial Aid
  • Graduate Certificates
  • Programs, Courses and Credits
  • Tuition, Fees and Residency
  • Veterans

Office of the University Registrar
P.O. Box 6878
Morgantown, WV 26506
Email: registrar@mail.wvu.edu
Phone: 304-293-5355

  • Accreditations
  • Web Standards
  • Questions or Comments?

© 2025-26 West Virginia University. WVU is an EEO/Affirmative Action employer — Minority/Female/Disability/Veteran.

  • A-Z Site Index
  • Campus Map
  • WVU Careers
  • Directory
  • Give
  • Handshake Login
  • WVU Alert
  • WVU Today
  • WVU Portal
  • WVU on Facebook
  • WVU on Twitter
  • WVU on YouTube

The information on this page is subject to change without notice. Disclaimer

Print Options

  • Send Page to Printer

    Print this page.

  • Download Page (PDF)

    The PDF will include all information unique to this page.

  • Download Complete 2024-25 PDF Catalogs

    • WVU Morgantown - Graduate/Professional
    • WVU Morgantown - Undergraduate
    • WVU Keyser - Potomac State College
    • WVU Beckley - WVU Tech
    • WVU Morgantown - Law

    Download 2024-25 PDF Courses Catalogs

    • WVU Morgantown - Graduate/Professional Courses
    • WVU Morgantown - Undergraduate Courses
    • WVU Keyser - Potomac State College Courses
    • WVU Beckley - WVU Tech Courses

Print Options

  • Send Page to Printer

    Print this page.

  • Download PDF of this page

    The PDF will include all information unique to this page.

  • Download Complete 2020-21 PDF Catalogs

    • WVU Morgantown - Graduate/Professional
    • WVU Morgantown - Undergraduate
    • WVU Keyser - Potomac State College
    • WVU Beckley - WVU Tech
    • WVU Morgantown - Law

    Download 2020-21 PDF Courses Catalogs

    • WVU Morgantown - Graduate/Professional Courses
    • WVU Morgantown - Undergraduate Courses
    • WVU Keyser - Potomac State College Courses
    • WVU Beckley - WVU Tech Courses