Indiana University Bloomington

How this program compares

At an estimated $33.5K in total tuition, the MS in Information Systems - Data Analytics & AI sits roughly 22% below the $42.9K average for AI master's programs in our database — placing it in the 50th percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree is required, ideally with coursework in computer science, mathematics, statistics, or related technical fields. Applicants typically need a GPA of 3.0 or higher and relevant professional experience is often preferred.

About This Program

A graduate program from the Kelley School of Business that prepares students to lead digital innovation and leverage AI to drive business value. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $33.5K, below the $42.9K average for AI master's programs in our database and in the 50th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

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 higher than about 60% of the Indiana programs in our data, where typical tuition runs near $31.8K.

Graduates frequently move into roles such as Product Analyst, with reported salaries around $128,000.

Design, implement, and evaluate AI and machine learning solutions for real-world business challenges.

Career Outcomes

Graduates of Indiana University Bloomington's MS in Information Systems - Data Analytics & AI most often target Product Analyst roles, where reported compensation runs around $128,000. Its focus on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 21% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. AI Solutions Architect
• 4. Business Intelligence Manager

What You'll Learn

• Design, implement, and evaluate AI and machine learning solutions for real-world business challenges
• Develop expertise in data pipeline architecture, distributed computing, and cloud-based analytics platforms
• Apply statistical methods and advanced algorithms to extract insights from structured and unstructured data
• Integrate responsible AI practices, ethical frameworks, and governance into data-driven decision-making processes

Curriculum Highlights

Features focus areas in data analytics and AI, cybersecurity, and digital transformation, covering predictive analytics, machine learning applications, and data visualization.

Top Employers

Top employers in data analytics and AI include major technology firms (Google, Microsoft, Amazon), financial institutions (JPMorgan Chase, Goldman Sachs), healthcare organizations, and consulting firms (McKinsey, Deloitte).

Admissions

Admission to Indiana University Bloomington's MS in Information Systems - Data Analytics & AI generally expects a master's degree (ms). Plan for the GRE, which this program lists as required (gre preferred for data science/ai programs). 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
• Official Transcripts: Required

Frequently Asked Questions