University of Pennsylvania
MSE in Robotics - Artificial Intelligence and Machine Learning Specialization
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
Admission Snapshot
Typical admitted student: Applicants must hold a bachelor's degree in engineering, computer science, mathematics, or a related field with a strong GPA (3.0+) and demonstrated coursework in calculus, linear algebra, and programming. Prior experience or coursework in robotics, machine learning, or artificial intelligence is strongly preferred.
About This Program
This specialization within the Robotics MSE focuses on creating intelligent agents that can sense, learn, and act in physical environments.
Career Outcomes
Position as Robotics Engineer in Autonomous Vehicles with machine learning expertise
- 1. Robotics Engineer
- 2. AI/Machine Learning Engineer
- 3. Autonomous Systems Developer
- 4. Computer Vision Specialist
What You'll Learn
- Design and implement machine learning algorithms for autonomous robotic systems and adaptive control
- Develop computer vision and sensor integration techniques for robotic perception and environmental understanding
- Apply deep learning and reinforcement learning methodologies to train robots for complex decision-making tasks
- Evaluate and optimize AI/ML models for real-time robotic applications with considerations for computational efficiency
Curriculum Highlights
The curriculum covers foundational areas in AI, perception, and control, with targeted electives in learning in robotics and advanced robotics.
Top Employers
Top employers include Boston Dynamics, Tesla, Google Robotics, Amazon Robotics, NASA Jet Propulsion Laboratory, and defense contractors specializing in autonomous systems development.
Admissions
Applicants must hold a bachelor's degree in engineering, computer science, mathematics, or a related field with a strong GPA (3.0+) and demonstrated coursework in calculus, linear algebra, and programming. Prior experience or coursework in robotics, machine learning, or artificial intelligence is strongly preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree in engineering or related STEM field
- GRE: Required (typically 150+ Quantitative, 150+ Verbal)
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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