Workforce Development

UMaine AI addresses grand challenges of global impact and local relevance, including in education, healthcare, and the environment. It operates at the intersection of diverse disciplines and fosters a synergistic environment that brings together interdisciplinary teams of collaborators dedicated to the advancement of artificial intelligence and its applications, from discovery and learning in foundational AI to its high-impact uses and workforce development.

A group of students working together at a computer

AI-Related Degree Programs at UMaine

Electrical and Computer Engineering

Undergraduate

  • BS in Computer Engineering
  • BS in Electrical Engineering
  • BS in Electrical Engineering Technology
  • Minor: Bioinstrumentation
  • Minor: Computer Engineering
  • Minor: Electrical Engineering
  • Minor: Electrical Engineering Technology
  • Minor: Nanotechnology
  • Minor: Robotics

Graduate

  • MS in Computer Engineering
  • MS in Electrical Engineering
  • PhD in Electrical and Computer Engineering

Computing and Information Sciences

Undergraduate

  • BS in Computer Science
  • BA in Computer Science
  • Minor: Computer Science

Graduate

  • MS in Computer Science
  • MS in Information Systems
  • MS in Spatial Informatics
  • MS in Spatial Information Science and Engineering
  • PhD in Computer Science
  • PhD in Spatial Information Science and Engineering
  • Certificate in Information Systems

Sample of AI-related courses Umaine currently offers:

  • ECE 598/498 Deep Learning
  • ECE 577 Fuzzy Logic
  • ECE 590 Artificial Neural Networks
  • ECE 498/598 Big Data
  • ECE 417 Intro to Robotics
  • ECE 533 Advanced Robotics
  • ECE 574 Cluster Computing
  • ECE 571 Advanced Microprocessor Design
  • COS 470 Introduction to Artificial Intelligence
  • COS 570 Topics in Artificial Intelligence
  • COS 598 Machine Learning
  • COS 598 Computer Vision
  • MEE 444 Robot Dynamics and Control
  • SIE 598 AI for Data Science

Questions?

research@maine.edu.