Drexel University
MS in Robotics and Autonomy
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 $62.2K in total tuition, the MS in Robotics and Autonomy sits about 47% above the $42.4K average for AI master's programs in our database β placing it in the 79th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: Applicants typically need a bachelor's degree in engineering, computer science, or a related technical field, with a strong foundation in mathematics, programming, and physics. GRE scores are recommended for international students and domestic students with a GPA below 3.0.[3
About This Program
This interdisciplinary program prepares professionals for leadership roles in the research and design of robotic systems, addressing rapid advancements in automation and technology. Coursework concentrates on Robotics & Autonomous Systems and Tech. Most students complete it in about 2 years.
Estimated total tuition is $62.2K, above the $42.4K average for AI master's programs in our database and in the 79th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Position as Robotics Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $105,000.
Career Outcomes
Position as Robotics Engineer in Engineering AI with machine learning expertise
- 1. Robotics Engineer
- 2. Autonomous Systems Engineer
- 3. Controls Engineer
- 4. Research Scientist in Robotics
What You'll Learn
- Design and implement autonomous robotic systems using control theory and sensor integration
- Develop perception algorithms and machine learning models for robot decision-making
- Program and debug complex robotic software using industry-standard frameworks
- Apply signal processing and systems engineering to real-world robotics challenges
Curriculum Highlights
The curriculum spans electrical, computer, and mechanical engineering, featuring courses in mobile sensing, machine learning, image processing, and a hands-on thesis or non-thesis track.
Top Employers
Top employers in robotics include Boston Dynamics, Tesla, ABB, Fanuc, NASA's Jet Propulsion Laboratory, and defense contractors such as Lockheed Martin and Northrop Grumman.
Admissions
Applicants typically need a bachelor's degree in engineering, computer science, or a related technical field, with a strong foundation in mathematics, programming, and physics. GRE scores are recommended for international students and domestic students with a GPA below 3.0.[3
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree in engineering, computer science, or related field
- GRE/GMAT: Recommended for international students and domestic students with GPA below 3.0
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.