OH

Master's in AI
On-Campus

University of Cincinnati

M.Eng. in Robotics and Intelligent Autonomous Systems

  • Cincinnati
About This Program

This industry-focused degree combines technical mastery of robotics with professional leadership skills. It prepares students to design sophisticated autonomous devices that surpass traditional electro-mechanical automation systems.

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What You'll Learn

Students will learn fundamental and advanced robotics, including kinematics, trajectory planning, and motion control. They also gain expertise in AI, machine learning, and sensors for multi-robot intelligent control.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum blends mechanical, electrical, and systems engineering with leadership training. It covers topics like intelligent industrial controllers, robot design, and electromagnetic energy conversion.
Typical Course Topics
1. Robot Dynamics and Control 2. Machine Learning for Robotics 3. Simultaneous Localization and Mapping (SLAM) 4. Motion Planning and Trajectory Generation 5. Computer Vision and Perception 6. Embedded Systems for Autonomous Robots
Program Specializations:
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 a related technical field with a minimum GPA of 3.0 is required, along with prerequisite coursework in linear algebra, calculus, and programming. Relevant work or research experience in robotics or autonomous systems is often preferred.
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

Thrive as Robotics Engineer in Engineering AI with machine learning expertise

Estimated Industry Salary
Robotics Engineer: $115,000
Total compensation (entry to mid-level)
AI Job Growth
9.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Engineer 2. Autonomous Systems Developer 3. Machine Learning Robotics Specialist 4. Control Systems Engineer
Top AI Employers (Industry-Wide):
Top employers include Boston Dynamics, NVIDIA, Amazon Robotics, and automotive companies like Tesla and Ford.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 16,470
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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