University of Cincinnati

How this program compares

Budget-wise, $16.5K puts this master's program at the 14th percentile on cost — roughly 62% below the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: 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.

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. Coursework concentrates on Machine Learning and Robotics & Autonomous Systems. Most students complete it in about 1 year.

At roughly $16.5K total, University of Cincinnati's M.Eng. in Robotics and Intelligent Autonomous Systems sits below the $42.9K average among AI master's programs we track — the 14th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 17 AI-related programs we track in Ohio, of which about 41% offer an online option. On price, it comes in cheaper than about 62% of the Ohio programs in our data, where typical tuition runs near $35.1K.

Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $115,000.

Design and implement control algorithms for robot motion and stability.

Career Outcomes

Graduates of University of Cincinnati's M.Eng. in Robotics and Intelligent Autonomous Systems most often target Robotics Engineer roles, where reported compensation runs around $115,000. Its focus on Machine Learning and Robotics & Autonomous Systems maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 9% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Robotics Engineer
• 2. Autonomous Systems Developer
• 3. Machine Learning Robotics Specialist
• 4. Control Systems Engineer

What You'll Learn

• Design and implement control algorithms for robot motion and stability.
• Apply machine learning techniques for perception, decision-making, and autonomous navigation.
• Develop SLAM systems for robot localization and environment mapping.
• Integrate sensors, embedded systems, and AI for intelligent autonomous operations.

Curriculum Highlights

The curriculum blends mechanical, electrical, and systems engineering with leadership training. It covers topics like intelligent industrial controllers, robot design, and electromagnetic energy conversion.

Top Employers

Top employers include Boston Dynamics, NVIDIA, Amazon Robotics, and automotive companies like Tesla and Ford.

Admissions

Admission to University of Cincinnati's M.Eng. in Robotics and Intelligent Autonomous Systems generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions