Indiana Wesleyan University National & Global

How this program compares

At an estimated $15.0K in total tuition, the MS in AI with Data Analytics Specialization sits roughly 65% below the $42.9K average for AI master's programs in our database — placing it in the 12th percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

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. Coursework concentrates on Machine Learning and MLOps/AI Engineering. Most students complete it in about 1.67 years.

It is one of 20 AI-related programs we track in Indiana, of which about 75% offer an online option. On price, it comes in cheaper than about 70% of the Indiana programs in our data, where typical tuition runs near $31.8K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $130,000.

Develop and deploy AI models for data-driven predictions and automation.

Estimated total tuition is $15.0K, below the $42.9K average for AI master's programs in our database and in the 12th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

Graduates of Indiana Wesleyan University National & Global's MS in AI with Data Analytics Specialization most often target Machine Learning Engineer roles, where reported compensation runs around $130,000. Its focus on Machine Learning and MLOps/AI Engineering maps directly to how employers 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. 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

Admission to Indiana Wesleyan University National & Global's MS in AI with Data Analytics Specialization generally expects a bachelor's degree. The GRE is optional 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

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

Frequently Asked Questions