NY

Master's in AI
On-Campus

University at Buffalo

MS in Engineering Sciences – Robotics

  • Buffalo
About This Program

This interdisciplinary program focuses on training students in robotics, autonomy, and automation for advanced manufacturing and autonomous vehicle industries.

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What You'll Learn

Students gain expertise in dynamics, controls, robotic algorithms, computer vision, and machine learning for robotic systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The core curriculum includes robotics algorithms, machine learning, probability theory, and continuous control systems.
Typical Course Topics
1. Robotics Algorithms 2. Human-Robot Interaction 3. Intelligent Machine Interfaces 4. Robot Kinematics and Dynamics 5. Machine Learning for Robotics 6. Robotics Sensing and Perception
Program Specializations:
Computer Vision
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with coursework in calculus, linear algebra, programming, and data structures.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Advance as Robotics Engineer in Engineering AI with machine learning expertise

Estimated Industry Salary
Robotics Engineer: $110,000
Total compensation (entry to mid-level)
AI Job Growth
10.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Engineer 2. Automation Engineer 3. Robotics Software Developer 4. Systems Integration Engineer
Top AI Employers (Industry-Wide):
Top employers include Boston Dynamics, Amazon Robotics, iRobot, and automotive manufacturers like Tesla and General Motors.
Explore AI Career Paths
Program Details
Duration
  • 1.75 Year
Tuition
  • 16,950
Format
On-Campus
Specializations
Computer Vision
Machine Learning
Official Resources
Program Website
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