Artificial Intelligence, M.S.
Engineer tomorrow's intelligent systems. WVU's online M.S. in Artificial Intelligence delivers the advanced computational theories, machine learning frameworks, and algorithmic skills needed to build next-generation automated solutions.
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Courses and Credits:
10 Courses / 30 Credits
Duration:
1-3 years
Admission Terms:
Fall, Spring, Summer
Next Start Date:
January 11, 2027
Term Length:
8-week courses
Learning Format:
Online asynchronous, synchronous office hours
GMAT/GRE:
Not required
Program Overview
The rapid expansion of automated technologies requires engineering professionals who can design robust, data-driven systems. The online M.S. in Artificial Intelligence from the Statler College of Engineering and Mineral Resources provides a highly customizable graduate degree for individuals with a foundational background in computer science. This technical curriculum seamlessly bridges mathematical foundations with complex software deployment. By exploring intelligent automation and advanced data processing, students develop the specialized expertise needed to engineer and evaluate AI frameworks across critical fields.
Architect Intelligent Systems
Master the high-level computational methodologies, machine learning frameworks, and advanced data structures required to deploy automated solutions across complex industry domains.
- Applied Methodology: Design, implement, and critically evaluate machine learning models and intelligent automation tools within practical field environments.
- Customized Curriculum: Tailor your degree around specific technical interests, including specialized tracks in machine learning or intelligent systems.
- Technical Translation: Conduct rigorous computational research and learn to communicate complex findings to both engineering teams and non-technical stakeholders.
- Flexible Format: Complete your studies in one to three years via structured, asynchronous online courses paired with interactive, live synchronous office hours.
What You’ll Learn
The 10-course curriculum balances advanced algorithmic theory with hands-on systems development to build specialized, industry-ready computational experts.
- Core Principles: Master the fundamental mathematical concepts, algorithmic structures, and foundational methodologies driving modern artificial intelligence technologies.
- Domain Adaptation: Analyze complex problem spaces to effectively deploy customized AI architectures across sectors like healthcare, energy, and cybersecurity.
- Algorithmic Innovation: Architect entirely new AI techniques and apply advanced computing principles to solve unique, data-dense engineering challenges.
- Research Integration: Synthesize current computational literature to interpret research findings and apply proven academic methodologies to industrial applications.
- Responsible Deployment: Analyze the systemic implications of artificial intelligence development and deployment to implement ethically sound, secure automation models.
Featured Courses
Explore some of the options you can pursue to build your competitive edge in artificial intelligence:
Application Steps
What You Need to Apply
- Submit a personal statement
- Your personal statement 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 contact information only.
- 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.
- International applicants must meet the WVU requirement of English language proficiency.
How to Apply
Applications for WVU’s online programs are processed through the University’s central portal. Follow these steps to set up your account and submit your application.
- Check the prerequisites: Review ‘What You Need to Apply’ to confirm your eligibility and get your application materials ready.
- Create your account: Visit the portal, create your account and start your application.
- Pay your application fee: Complete the required payment within the portal.
- Submit: Carefully review your details and submit your application.
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Tuition, Fees, and Aid
Cost per credit hour is listed on each program page. Rates are reviewed annually and subject to change.
Tuition and fees are usually not the only educational expenses you may have while pursuing a degree. You may have other costs such as books, supplies, and living expenses. Please visit WVU’s Estimate Costs and Aid website for how to plan for other potential expenses.
- Complete the FAFSA
- Check Employer Benefits: Inquire about potential tuition assistance or reimbursement programs.
- Review Waivers: Understand the specific restrictions on University tuition waivers.
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Careers and Employment
After completing the online Artificial Intelligence, M.S. program, you will be prepared for real-world and industry-ready roles. The customizable format of the program allows you to take courses that are most relevant to your career and professional goals.
The program’s comprehensive curriculum will give you the ability to design, implement, test, and critically evaluate AI techniques across a range of potential career paths including healthcare, cybersecurity, energy systems, and intelligent automation. With this degree, you’ll graduate ready to lead innovation in one of the fastest-growing fields in technology.
What can I do with an Artificial Intelligence, M.S. degree? Explore potential careers, employment environments, and academic pathways:
- AI/ML Engineer
- Data Scientist
- AI Researcher
- Scientist
- AI Product Manager
- AI Analyst
- Entrepreneur
Frequently Asked Questions
If you’d like to dive deeper into the program’s curriculum and student experience, connect with:
Ann Clayton
- Email: Ann.Clayton@mail.wvu.edu
- Phone: 304-293-0915
- Schedule chat
