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 21% below the $42.4K average for AI master's programs in our database — placing it in the 52nd percentile on cost among the 531 we track at this level.

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 $42.4K average for AI master's programs in our database and in the 52nd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Lead as Product Analyst in Business AI with machine learning expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $128,000.

Career Outcomes

Lead as Product Analyst in Business AI with machine learning expertise

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Master's Degree (MS)
• GRE/GMAT: Required (GRE preferred for data science/AI programs)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)