BachelorOn-CampusFull-Time

West Virginia University

BS in Applied Artificial Intelligence and Data Analytics

Morgantown, West Virginia4 years$49K total tuition
Visit Program Website β†—

Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $48.6K in total tuition, the BS in Applied Artificial Intelligence and Data Analytics sits roughly 44% below the $86.6K average for AI bachelor's programs in our database β€” placing it in the 40th percentile on cost among the 232 we track at this level.

Est. Salary$125,000 Data Scientist
Job Growth+36%
Top RoleData Analyst
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor of Science (BS)
Duration
4 years
Est. Tuition
$49K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, Generative AI and LLMs

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.

Estimated total tuition is $48.6K, below the $86.6K average for AI bachelor's programs in our database and in the 40th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Begin Data Analyst career in Business AI with data analytics focus Graduates frequently move into roles such as Data Analyst, with reported salaries around $85,000.

Career Outcomes

Begin Data Analyst career in Business AI with data analytics focus

  • 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

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

Application Materials

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

Academic Requirements

  • Degree Required: Bachelor of Science (BS)
  • GRE/GMAT: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.