Indiana University Bloomington

How this program compares

Budget-wise, $90.8K puts this doctoral program at the 67th percentile on cost — about 4% above the $87.2K average across 36 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A master's degree in engineering, computer science, or a related field is preferred, along with a strong GPA (3.0+), research experience, and relevant technical background in AI or systems. GRE scores are often optional, with emphasis on statement of purpose and prior publications.

About This Program

This research-focused program emphasizes the design, building, and simulation of intelligent systems and devices, ranging from bioengineering to cyber-physical systems. Coursework concentrates on Data Science & Intelligent Systems and Tech. Most students complete it in about 5 years.

At roughly $90.8K total, Indiana University Bloomington's PhD in Intelligent Systems Engineering sits above the $87.2K average among AI doctoral programs we track — the 67th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

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 90% of the Indiana programs in our data, where typical tuition runs near $31.8K.

Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $140,000.

Develop advanced intelligent systems integrating AI, machine learning, and engineering principles.

Career Outcomes

Indiana University Bloomington positions this doctoral track for Robotics Engineer careers — typical offers cluster around $140,000. Its focus on Data Science & Intelligent Systems and Tech maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Research Scientist
• 2. Intelligent Systems Architect
• 3. Robotics Engineer
• 4. Machine Learning Engineer

What You'll Learn

• Develop advanced intelligent systems integrating AI, machine learning, and engineering principles.
• Design and optimize autonomous systems for real-world applications.
• Apply data analytics and simulation to complex engineered environments.
• Conduct original research in intelligent automation and human-machine interaction.

Curriculum Highlights

The curriculum involves core ISE theory, research methodology, and specialized tracks such as computer engineering, bioengineering, or environmental engineering.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and defense firms such as Lockheed Martin and Northrop Grumman.

Admissions

Admission to Indiana University Bloomington's PhD in Intelligent Systems Engineering generally expects a master's degree preferred. 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: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions