University of Pennsylvania

How this program compares

At an estimated $86.5K in total tuition, the MS in Robotics – AI & ML Track sits about 104% above the $42.4K average for AI master's programs in our database — placing it in the 93rd percentile on cost among the 531 we track at this level.

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.

Estimated total tuition is $86.5K, above the $42.4K average for AI master's programs in our database and in the 93rd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Excel as Robotics Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $130,000.

Career Outcomes

Excel as Robotics Engineer in Engineering AI with machine learning expertise

• 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

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.

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+)