The Robotics program at the University of Maryland is a practice-oriented, part-time graduate degree designed to advance the careers of engineers and technical professionals. It provides comprehensive expertise in robotics design, modeling, control systems, autonomous vehicle planning and perception, machine learning, and human-robot interaction, preparing students for leadership roles in dynamic industrial, governmental, and business environments.
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The Robotics program at the University of Maryland is a practice-oriented, part-time graduate degree designed to advance the careers of engineers and technical professionals. It provides comprehensive expertise in robotics design, modeling, control systems, autonomous vehicle planning and perception, machine learning, and human-robot interaction, preparing students for leadership roles in dynamic industrial, governmental, and business environments.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
96.0
Starting 2026-01-01
Apply before 2025-12-01
Starting 2026-08-01
Apply before 2026-03-01
Starting 2025-08-01
Apply before 2025-07-01
Jan-26
Courses include: Planning for Autonomous Robots Robot Modeling Control of Robotic Systems Perception for Autonomous Robots Python Applications for Robotics
Applicants must submit a Statement of Purpose, official transcripts, TOEFL/IELTS/PTE scores for international students, three letters of recommendation, and optionally, GRE scores and a CV or Resume. These requirements ensure a comprehensive evaluation of academic background, language proficiency, and professional motivation.
N/A
Annual Fee
1 year
Total Duration
No Living costs available.
No University Scholarships Available
N/A
Amount
1250 USD
Deadline
Not specified
N/A
Amount
Various benefits
Deadline
Not specified
N/A
Amount
Various benefits
Deadline
Not specified
N/A
Amount
2000 USD
Deadline
15 Apr 2025
N/A
Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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