University of Pennsylvania
MS in Robotics with Computer Vision Specialization
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 $84.8K in total tuition, the MS in Robotics with Computer Vision Specialization sits about 100% above the $42.4K average for AI master's programs in our database β placing it in the 92nd percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, electrical engineering, robotics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python/C++ and coursework in linear algebra, calculus, and machine learning.
About This Program
This multidisciplinary program focuses on the science and technology of robotics, with a specialized emphasis on computer vision and perception. Coursework concentrates on Machine Learning and Robotics & Autonomous Systems. Most students complete it in about 2 years.
Estimated total tuition is $84.8K, above the $42.4K average for AI master's programs in our database and in the 92nd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Thrive as Robotics Engineer in Engineering AI with computer vision expertise Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $120,000.
Career Outcomes
Thrive as Robotics Engineer in Engineering AI with computer vision expertise
- 1. Robotics Software Engineer
- 2. Computer Vision Specialist
- 3. Autonomous Systems Developer
- 4. Perception Algorithm Engineer
What You'll Learn
- Design and implement computer vision pipelines for robotic perception.
- Apply deep learning models to process visual data in dynamic environments.
- Develop algorithms for robot localization, mapping, and scene understanding.
- Integrate vision-based systems with motion planning and control for autonomy.
Curriculum Highlights
Foundational requirements include AI, perception, and control, with core specialization courses in machine perception and computational photography.
Top Employers
Top employers include Boston Dynamics, Google DeepMind, NVIDIA, and Amazon Robotics.
Admissions
A bachelor's degree in computer science, electrical engineering, robotics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python/C++ and coursework in linear algebra, calculus, and machine learning.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)
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