University of Pennsylvania
MS in Robotics w/ 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 w/ 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, mechanical engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and strong quantitative skills. Prerequisites often include linear algebra, calculus, and introductory robotics or machine learning.
About This Program
This program educates students in the intersection of robotics and computer vision, focusing on perception and automated image analysis. Coursework concentrates on Computer Vision 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.
Lead as Computer Vision Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Computer Vision Engineer, with reported salaries around $125,000.
Career Outcomes
Lead as Computer Vision Engineer in Engineering AI with machine learning expertise
- 1. Robotics Software Engineer
- 2. Computer Vision Engineer
- 3. Autonomous Systems Researcher
- 4. Perception Algorithm Specialist
What You'll Learn
- Design and control computer vision-enabled robotic manipulators and systems.
- Implement perception algorithms for object detection, tracking, and scene understanding.
- Develop motion planning and autonomous navigation for real-world environments.
- Apply deep learning to robotic vision tasks like SLAM and state estimation.
Curriculum Highlights
Core topics include computer vision, machine perception, machine learning, and foundational studies in robotic control and mechatronic design.
Top Employers
Top employers include Boston Dynamics, Google DeepMind, NVIDIA, Amazon Robotics, and autonomous vehicle companies like Waymo.
Admissions
A bachelor's degree in computer science, electrical engineering, mechanical engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and strong quantitative skills. Prerequisites often include linear algebra, calculus, and introductory robotics or 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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