Illinois Institute of Technology
M.S. in Autonomous Systems and Robotics
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $53.4K in total tuition, the M.S. in Autonomous Systems and Robotics sits about 26% above the $42.4K average for AI master's programs in our database β placing it in the 72nd percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: Applicants must hold a bachelor's degree in engineering, computer science, mathematics, or a related field with a minimum GPA of 3.0. Prerequisites include programming, data structures, linear algebra, and calculus; GRE is optional.
About This Program
A research-oriented degree focusing on the internal algorithms and physical systems used in self-driving cars, drones, and industrial robots for real-time operations. Coursework concentrates on Robotics & Autonomous Systems and Tech. Most students complete it in about 2 years.
Estimated total tuition is $53.4K, above the $42.4K average for AI master's programs in our database and in the 72nd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Advance as Robotics Engineer in Autonomous Vehicles with machine learning expertise Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $110,000.
Career Outcomes
Advance as Robotics Engineer in Autonomous Vehicles with machine learning expertise
- 1. Robotics Software Engineer
- 2. Autonomous Systems Engineer
- 3. AI Robotics Researcher
- 4. Drone Systems Developer
What You'll Learn
- Design and control algorithms for robotic systems and autonomous vehicles
- Implement machine learning models for perception and decision-making in dynamic environments
- Develop sensor fusion techniques for real-time navigation and obstacle avoidance
- Integrate AI-driven autonomy in multi-agent robotic systems
Curriculum Highlights
Requires 32 credit hours, including core engineering analysis and control systems courses, supplemented by electives in machine learning and computer vision.
Top Employers
Top employers include Boeing, Lockheed Martin, Boston Dynamics, and NASA.
Admissions
Applicants must hold a bachelor's degree in engineering, computer science, mathematics, or a related field with a minimum GPA of 3.0. Prerequisites include programming, data structures, linear algebra, and calculus; GRE is optional.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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