IN

PhD in AI
On-Campus

Indiana University Bloomington

PhD in Intelligent Systems Engineering

  • Bloomington
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.

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What You'll Learn

Students learn to apply AI and computational modeling to develop personal technologies, embedded computing components, and sophisticated data interpretation tools.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum involves core ISE theory, research methodology, and specialized tracks such as computer engineering, bioengineering, or environmental engineering.
Typical Course Topics
1. Artificial Intelligence and Machine Learning 2. Intelligent Systems Design 3. Robotics and Autonomous Systems 4. Data-Intensive Computing 5. Systems Modeling and Simulation 6. Advanced Control Systems
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Pursue advanced Robotics Engineer in Engineering AI through robotic systems

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Systems Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Intelligent Systems Architect 3. Robotics Engineer 4. Machine Learning Engineer
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Microsoft, Amazon, and defense firms such as Lockheed Martin and Northrop Grumman.
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Program Details
Duration
  • 5 Year
Tuition
  • 90,810
Format
On-Campus
Specializations
Official Resources
Program Website
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