West Virginia University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

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+)