Indiana Wesleyan University
MS in Artificial Intelligence with Data Analytics
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 $17.7K in total tuition, the MS in Artificial Intelligence with Data Analytics sits roughly 58% below the $42.4K average for AI master's programs in our database β placing it in the 16th percentile on cost among the 531 we track at this level. It is one of the 57% 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; 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. Coursework concentrates on Generative AI and LLMs and Deep Learning. Most students complete it in about 1.7 years.
Estimated total tuition is $17.7K, below the $42.4K average for AI master's programs in our database and in the 16th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Lead as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.
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: 2β3
- 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+)
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