University of Pennsylvania
MS in Robotics – AI & ML Track
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $86.5K in total tuition, the MS in Robotics – AI & ML Track sits about 101% above the $42.9K average for AI master's programs in our database — placing it in the 93rd percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).
Admission Snapshot
Typical admitted student: A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and probability. GRE scores are often optional, with strong emphasis on relevant projects or research.
About This Program
This program, administered by the GRASP Lab, provides a comprehensive background in the interdisciplinary fields of robotics and machine learning. Coursework concentrates on Deep Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.
Design and control robotic systems using AI-driven algorithms.
Budget planners should note $86.5K estimated total tuition (93rd percentile among AI master's programs, above the $42.9K average). Applicants should weigh that premium against the program's outcomes and brand.
It is one of 60 AI-related programs we track in Pennsylvania, of which about 43% offer an online option. On price, it comes in higher than about 69% of the Pennsylvania programs in our data, where typical tuition runs near $81.1K.
Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $130,000.
Career Outcomes
Graduates of University of Pennsylvania's MS in Robotics – AI & ML Track most often target Robotics Engineer roles, where reported compensation runs around $130,000. Its focus on Deep Learning and AI Engineering / Applied AI maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 25% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.
- 1. Robotics Software Engineer
- 2. AI Robotics Research Scientist
- 3. Autonomous Systems Engineer
- 4. Machine Learning Engineer (Robotics)
What You'll Learn
- Design and control robotic systems using AI-driven algorithms
- Implement machine learning models for perception and decision-making in robots
- Develop autonomous navigation and manipulation capabilities
- Apply reinforcement learning to optimize robotic behaviors
- Integrate sensors and computer vision for real-world robotic applications
Curriculum Highlights
The curriculum requires foundational courses in AI, robot design, and control, alongside technical electives in machine learning and neural networks.
Top Employers
Top employers include Boston Dynamics, Google DeepMind, Tesla, and Amazon Robotics.
Admissions
Admission to University of Pennsylvania's MS in Robotics – AI & ML Track generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Frequently Asked Questions
What makes University of Pennsylvania's MS in Robotics – AI & ML Track stand out?
This program, administered by the GRASP Lab, provides a comprehensive background in the interdisciplinary fields of robotics and machine learning.
Does University of Pennsylvania offer the MS in Robotics – AI & ML Track in an online format?
This program is listed as on-campus, so plan for on-campus attendance. University of Pennsylvania may offer other online AI options — verify current formats before applying.
How much does the MS in Robotics – AI & ML Track cost?
We estimate total tuition at roughly $86.5K, above the $42.9K average for comparable AI master's programs in our database. Tuition changes yearly and excludes fees and living costs, so treat this as a planning figure and confirm with University of Pennsylvania.
Does the MS in Robotics – AI & ML Track require the GRE?
No — University of Pennsylvania does not require the GRE for this program, which is increasingly common among AI programs. A strong transcript, projects and recommendation letters carry more weight.
How long does the MS in Robotics – AI & ML Track take to complete?
Most students finish in about 2 years for full-time enrollment. Accelerated or part-time tracks may change the timeline.
What jobs can you get with the MS in Robotics – AI & ML Track?
Graduates commonly pursue roles such as Robotics Engineer, with reported pay around $130,000. Actual outcomes depend on your prior experience, portfolio and location — see our AI salary guide for current, source-cited ranges.
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