Indiana Wesleyan University National & Global

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, along with relevant coursework in programming, statistics, and mathematics.

About This Program

This program focuses on developing high-impact AI solutions by blending technical expertise with strategic planning and professional ethics.

Career Outcomes

Thrive as Machine Learning Engineer 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

• Develop and deploy AI models for data-driven predictions and automation.
• Apply advanced analytics techniques to extract insights from large datasets.
• Design data visualization tools for effective AI storytelling and decision support.
• Implement machine learning pipelines for real-world analytics applications.

Curriculum Highlights

The curriculum includes advanced machine learning, text processing, data mining concepts, and a capstone project mirroring professional AI workflows.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and analytics firms such as IBM and SAS.

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, along with relevant coursework in programming, statistics, and mathematics.

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+)