Indiana University Bloomington

How this program compares

At an estimated $90.8K in total tuition, the PhD in Intelligent Systems Engineering sits about 10% above the $82.9K average for AI doctoral programs in our database — placing it in the 69th percentile on cost among the 42 we track at this level.

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.

Estimated total tuition is $90.8K, above the $82.9K average for AI doctoral programs in our database and in the 69th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Pursue advanced Robotics Engineer in Engineering AI through robotic systems Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $140,000.

Career Outcomes

Pursue advanced Robotics Engineer in Engineering AI through robotic systems

• 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

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.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Master's degree preferred
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)