Indiana University Bloomington
MS in Info Systems– Data Analytics & AI Concentration
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $22.6K in total tuition, the MS in Info Systems– Data Analytics & AI Concentration sits roughly 47% below the $42.4K average for AI master's programs in our database — placing it in the 32nd percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in a related field such as computer science, information systems, or business with a minimum GPA of 3.0 is required, along with quantitative coursework in programming, statistics, or calculus. Relevant work experience or GRE/GMAT scores may be preferred but are often optional.
About This Program
This concentration develops business technologists who can leverage AI and big data to solve complex organizational problems and drive strategic innovation. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $22.6K, below the $42.4K average for AI master's programs in our database and in the 32nd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Position as Business Intelligence Analyst in Business AI with artificial intelligence expertise Graduates frequently move into roles such as Business Intelligence Analyst, with reported salaries around $110,000.
Career Outcomes
Position as Business Intelligence Analyst in Business AI with artificial intelligence expertise
- 1. Data Analytics Manager
- 2. AI Systems Analyst
- 3. Business Intelligence Specialist
- 4. Information Systems Consultant
What You'll Learn
- Applying machine learning algorithms to business data problems
- Designing AI-driven information systems for enterprise use
- Analyzing big data for actionable insights and predictions
- Developing data visualization tools for decision support
Curriculum Highlights
The curriculum focuses on enterprise data management, artificial intelligence applications, and digital transformation, complemented by a core information systems foundation.
Top Employers
Top employers include tech firms like Google and Microsoft, consulting companies like Deloitte and Accenture, and financial institutions such as JPMorgan Chase and Goldman Sachs.
Admissions
A bachelor's degree in a related field such as computer science, information systems, or business with a minimum GPA of 3.0 is required, along with quantitative coursework in programming, statistics, or calculus. Relevant work experience or GRE/GMAT scores may be preferred but are often optional.
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+)
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