West Virginia University

How this program compares

Budget-wise, $48.6K puts this bachelor's program at the 40th percentile on cost — roughly 46% below the $89.8K average across 186 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: High school diploma or equivalent with competitive GPA (3.0+) is required. SAT/ACT scores are typically optional or recommended for scholarship consideration.

About This Program

Housed in the College of Business and Economics, this program prepares students to solve real business problems using AI and data analytics. Coursework concentrates on Machine Learning and Generative AI and LLMs. Most students complete it in about 4 years.

Budget planners should note $48.6K estimated total tuition (40th percentile among AI bachelor's programs, below the $89.8K average). That puts it in the mid-range on price among comparable programs.

It is one of 6 AI-related programs we track in West Virginia, of which about 50% offer an online option. On price, it comes in higher than about 67% of the West Virginia programs in our data, where typical tuition runs near $45.4K.

Graduates frequently move into roles such as Data Analyst, with reported salaries around $85,000.

Design and implement machine learning models to solve real-world problems.

Career Outcomes

Graduates of West Virginia University's BS in Applied Artificial Intelligence and Data Analytics most often target Data Analyst roles, where reported compensation runs around $85,000. Its focus on Machine Learning and Generative AI and LLMs maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Systems Developer
• 4. Business Intelligence Analyst

What You'll Learn

• Design and implement machine learning models to solve real-world problems
• Analyze large datasets using statistical methods and data visualization techniques
• Develop proficiency in programming languages and tools essential to data science
• Apply AI algorithms to business intelligence, automation, and predictive analytics

Curriculum Highlights

The curriculum combines business fundamentals with technical training in programming, databases, and foundational mathematical and statistical models.

Top Employers

Top employers include Google, Amazon, Microsoft, IBM, Tesla, and financial institutions like JPMorgan Chase and Goldman Sachs that leverage AI and data analytics for competitive advantage.

Admissions

Admission to West Virginia University's BS in Applied Artificial Intelligence and Data Analytics generally expects a bachelor of science (bs). The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• High School Transcripts: Official transcripts required
• Essay or Statement of Purpose: Optional
• Letters of Recommendation: Optional
• Resume: Optional

Frequently Asked Questions