Indiana Wesleyan 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: A bachelor's degree in a related field such as computer science, data science, or engineering with a minimum GPA of 3.0 is required; relevant work experience or programming skills are often preferred.

About This Program

This interdisciplinary degree prepares professionals for leadership roles by integrating AI fluency, advanced data analysis, and essential business acumen.

Career Outcomes

Lead as Data Scientist in Cross-Industry AI with machine learning expertise

• 1. AI Data Analyst
• 2. Machine Learning Engineer
• 3. Data Analytics Specialist
• 4. AI Solutions Architect

What You'll Learn

• Design and implement machine learning models for real-world applications
• Analyze large datasets using AI-driven techniques for actionable insights
• Apply deep learning methods to image, text, and predictive tasks
• Evaluate ethical implications of AI systems in data analytics contexts

Curriculum Highlights

The structure includes core modules in machine learning fundamentals, large language models, big data technologies, and a culminating professional capstone project.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as Deloitte and Accenture.

Admissions

A bachelor's degree in a related field such as computer science, data science, or engineering with a minimum GPA of 3.0 is required; relevant work experience or programming skills are often preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)