Carnegie Mellon University

Overview

Carnegie Mellon University’s Master’s in Artificial Intelligence Engineering – Mechanical Engineering equips you with the skills to develop AI-enhanced engineering systems that prioritize safety, reliability, and effective deployment. The curriculum integrates AI methodologies with mechanical engineering design, robotics, and systems thinking over three semesters.

What you'll study

Program Structure: The program spans three semesters, focusing on coursework that blends engineering principles with AI applications.

Core coursework typically includes:

• Systems and Tool Chains for AI Engineering
• Machine Learning for Engineers
• Deep Learning for Engineers

Engineering and domain-focused courses may cover:

• Design and Manufacturing of Mechanical Systems
• Energy and Thermal Fluid Systems
• Robotic and Control Systems

Additional learning components:

• Graduate-level exploration of cross-cutting issues such as security, privacy, and the ethical and societal implications of AI
• Applied problem-solving utilizing AI methods in engineering contexts
• Training to effectively work with and guide AI-enabled tools

Entry requirements

While specific GRE/GMAT and minimum GPA requirements are not detailed, admission is generally based on your academic background and overall suitability for graduate studies in AI and engineering.

Career prospects

Graduates of the program are well-prepared for diverse roles in the engineering sector, specializing in AI applications. Career opportunities may include positions in research and development, product design, robotics, and systems engineering, where they can leverage their expertise in both artificial intelligence and mechanical engineering.