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Admission Snapshot
Typical admitted student: A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, linear algebra, and calculus. GRE scores are optional or not required for many programs.
About This Program
This interdisciplinary 30-credit program offers thesis or course-based tracks to prepare students for careers in the science of robotics and autonomous systems across various engineering disciplines.
Career Outcomes
Excel as Robotics Engineer in Engineering AI with machine learning expertise
- 1. Robotics Engineer
- 2. Autonomous Systems Developer
- 3. Robotics Software Engineer
- 4. Controls Engineer
What You'll Learn
- Design and analyze robot kinematics and dynamics for motion planning.
- Implement control algorithms for autonomous robotic systems.
- Develop perception systems using computer vision and sensor fusion.
- Apply machine learning to enable intelligent robot behaviors.
Curriculum Highlights
The curriculum includes foundational courses in thematic areas like control, perception, and AI, complemented by technical electives in specialized subareas like biomechatronics, computer vision, and machine learning.
Top Employers
Top employers include Boston Dynamics, Amazon Robotics, Google DeepMind, and NASA.
Admissions
A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, linear algebra, and calculus. GRE scores are optional or not required for many programs.
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 80+ / IELTS 6.5+)
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