MS in Artificial Intelligence Engineering
The Master of Science in Artificial Intelligence–Electrical and Computer Engineering is a three-semester (97-unit) program that offers students the opportunity to gain state-of-the-art artificial intelligence knowledge from an engineering perspective. Today, AI is driving significant innovation across products, services, and systems in every industry, and tomorrow’s AI engineers will have the advantage.
ECE students within the program will learn how to design and build AI-orchestrated systems capable of operating within engineering constraints. At Carnegie Mellon, we are leading this transformation by teaching students how to simultaneously design a system’s functionality and supporting AI mechanisms, including both its AI algorithms and the platform on which the AI runs, to produce systems that are more adaptable, resilient, and trustworthy.
Program Learning Objectives
- Demonstrate Technical Expertise in a particular area (concentration areas)
a) By solving problems in which they apply ECE fundamentals
b) By solving complex problems that draw on multiple aspects of ECE
c) By solving challenging problems that reflect a depth of understanding in ECE - Demonstrate a spirit of Innovation, Collaboration and Leadership
a) By displaying out of the box thinking in solving current complex problems where there are no existing answers
b) By successfully collaborating in multidisciplinary teams
c) By applying holistic systems-oriented thinking to their designs
d) By participating in research projects - Demonstrate professional preparation
a) By engaging in job search and internships
b) By successfully securing a job as a practicing engineer
c) By honing professional skills in teamwork, work organization, and oral and written communication - Demonstrate AI technical and ethical expertise through
a) Effectively applying artificial intelligence (AI) techniques to solve engineering problems.
b) Demonstrating an understanding of the theoretical foundations of machine learning and deep learning techniques.
c) Developing and deploying an AI data flow on the cloud using state-of-the-art tools.
d) Developing a habit of understanding who may be harmed by AI, and mitigations.
Endless Opportunities
Whether pursuing academia or industry, this degree uniquely positions students for the future of research and high-demand careers with a mastery of integrating engineering domain knowledge into AI solutions.
For additional information about this college-wide initiative, please visit the College of Engineering's MS in AI Engineering website.