M.S. Concentration in Artificial Intelligence and Machine Learning Systems
The AI/ML Systems concentration will provide students with the opportunity to study the systems and methods that form the foundations of artificial intelligence, machine learning, and data sciences in depth. The range of courses from introductory to applied and advanced levels will provide students of all backgrounds the skills necessary to pursue research or professional opportunities in this area. Many courses contain lab components to familiarize the students with tools, methods and approaches used in this area.
In addition to the requirements for our MS degree in Electrical and Computer Engineering, the concentration requires taking 5 courses from among the following:
- Image Processing (E&C-ENG 566)
- Machine Learning and Systems (E&C-ENG 557)
- Machine Learning for Engineers (E&C-ENG 601)
- Artificial Intelligence-Based Wireless Network Design (E&C-ENG 627)
- Applied Machine Learning for the Internet of Things (E&C-ENG 629)
- Hardware Design for Machine Learning Systems (E&C-ENG 662)
- Computer Architecture (E&C-ENG 668)
- Data Analytics (E&C-ENG 678)
- Neural Networks: A Modern Introduction (COMPSCI 682)
- Reinforcement Learning (COMPSCI 687)
Please direct questions to Emily Krems, academic advisor.
Featured faculty
Hossein Pishro-Nik
Information Theory, Privacy and Security, Statistical Learning and Decision Making, Wireless Networks, Vehicular Communications and Networking.
Mario Parente
Remote Sensing of planetary and terrestrial surfaces and atmospheres, hyperspectral signal and image processing.
Marco Duarte
Signal and image processing, compressive sensing, dimensionality reduction, machine learning, computational imaging, distributed sensing, sensor networks.
Sandip Kundu
Working at the intersection of hardware and software to design general purpose processors and custom accelerators for applications such as machine learning.
Computer Engineering
Computer engineering students at UMass Amherst are designing and programming everything from complex software systems to autonomous vehicles—and you can, too.
Electrical Engineering
Electrical Engineering students at UMass Amherst play a hands-on role in the future of technology in communication, health care, smart cities, and more.