Complete all courses and requirements listed below unless otherwise indicated. A maximum of three courses outside of the EECE (Electrical and Computer Engineering) subject code may be applied to requirements of this program.

Fundamental Courses

Complete at least 8 semester hours from the following:8
EECE 5554Robotics Sensing and Navigation4
EECE 5644Introduction to Machine Learning and Pattern Recognition4
EECE 7205Fundamentals of Computer Engineering4
EECE 7352Computer Architecture4

Options

Complete one of the following options:

Coursework Option

Concentration Courses
Complete a minimum of 16 semester hours from the concentration course list below. Any fundamental course not used to meet the fundamental course requirement can be used toward the concentration course requirement.16
Electives
Students may complete a maximum of 8 semester hours from either the concentration course list or a maximum of 8 semester hours from the elective course list.8

Thesis Option

Thesis
EECE 7945Master’s Project4
EECE 7990Thesis4
In addition to completing the thesis course, students must successfully complete the thesis submission process, including securing Committee and Graduate School of Engineering signatures and submission of an electronic copy of their MS Thesis to ProQuest.
Concentration Courses
Complete a minimum of 8 semester hours from the concentration course list below. Any fundamental course not used to meet the fundamental course requirement can be used toward the concentration course requirement. 8
Electives
Students may complete a maximum of 8 semester hours from either the concentration course list or a maximum of 8 semester hours from the elective course list. 8

Optional Co-op Experience

Complete the following. Students must complete ENCP 6100 to qualify for co-op experience:
ENCP 6100Introduction to Cooperative Education1
ENCP 6964Co-op Work Experience0
or ENCP 6954 Co-op Work Experience - Half-Time
or ENCP 6955 Co-op Work Experience Abroad - Half-Time
or ENCP 6965 Co-op Work Experience Abroad

Program Credit/GPA Requirements

32 total semester hours required (33 with optional co-op)

Minimum 3.000 GPA required

Course Lists

A maximum of three courses may be taken outside of electrical and computer engineering. 

Concentration Courses

CS 5100
Foundations of Artificial Intelligence
CS 6200
Information Retrieval
CS 6220
Data Mining Techniques
CS 7800
Advanced Algorithms
DS 5110
Essentials of Data Science
DS 5983
Topics in Data Science
EECE 5360
Combinatorial Optimization
EECE 5512
Networked XR Systems
EECE 5550
Mobile Robotics
EECE 5554
Robotics Sensing and Navigation
EECE 5612
Statistical Inference: An Introduction for Engineers and Data Analysts
EECE 5614
Reinforcement Learning and Decision Making Under Uncertainty
EECE 5626
Image Processing and Pattern Recognition
EECE 5639
Computer Vision
EECE 5640
High-Performance Computing
EECE 5642
Data Visualization
EECE 5644
Introduction to Machine Learning and Pattern Recognition
EECE 5645
Parallel Processing for Data Analytics
EECE 5698
Special Topics in Electrical and Computer Engineering (Formal Methods of Dynamical Systems)
EECE 5698
Special Topics in Electrical and Computer Engineering (Visual Sensing & Computing Co-Design Edge Machine Perception)
EECE 6400
Special Problems in Electrical and Computer Engineering
EECE 7150
Autonomous Field Robotics
EECE 7204
Applied Probability and Stochastic Processes
EECE 7205
Fundamentals of Computer Engineering
EECE 7215
Introduction to Distributed Intelligence
EECE 7223
Riemannian Optimization
EECE 7311
Two Dimensional Signal and Image Processing
EECE 7315
Digital Image Processing
EECE 7323
Numerical Optimization Methods
EECE 7337
Information Theory
EECE 7345
Big Data and Sparsity in Control, Machine Learning, and Optimization
EECE 7346
Probabilistic System Modeling and Analysis
EECE 7352
Computer Architecture
EECE 7370
Advanced Computer Vision
EECE 7397
Advanced Machine Learning
EECE 7398
Advanced Special Topics in Electrical and Computer Engineering (Advances in Deep Learning)
EECE 7398
Advanced Special Topics in Electrical and Computer Engineering (Deep Learning for Embedded Systems)
EECE 7398
Advanced Special Topics in Electrical and Computer Engineering (Distributed Intelligence)
EECE 7398
Advanced Special Topics in Electrical and Computer Engineering (Flexible Robotics)
EECE 7398
Advanced Special Topics in Electrical and Computer Engineering (Human Centered Computing)
EECE 7398
Advanced Special Topics in Electrical and Computer Engineering (Large Language Model Based Dialogue Agents)
EECE 7398
Advanced Special Topics in Electrical and Computer Engineering (Machine Learning with Small Data)
EECE 7398
Advanced Special Topics in Electrical and Computer Engineering (Security in Large-Scaled Learning Enabled Systems)
EECE 7400
Advanced Special Problems in Electrical and Computer Engineering
EECE 7945
Master’s Project
EECE 7990
Thesis
MATH 7233
Graph Theory

Elective Courses

CS 5180
Reinforcement Learning and Sequential Decision Making
CS 5200
Database Management Systems
CS 5335
Robotic Science and Systems
CS 5500
Foundations of Software Engineering
CS 5600
Computer Systems
CS 6410
Compilers
CS 6510
Advanced Software Development
CS 6650
Building Scalable Distributed Systems
CS 6760
Privacy, Security, and Usability
CS 7340
Theory and Methods in Human Computer Interaction
CY 5770
Software Vulnerabilities and Security
CY 6740
Network Security
EECE 5552
Assistive Robotics
EECE 5641
Introduction to Software Security
EECE 5643
Simulation and Performance Evaluation
EECE 5699
Computer Hardware and System Security
EECE 7353
VLSI Design
EECE 7368
High-Level Design of Hardware-Software Systems
EECE 7376
Operating Systems: Interface and Implementation
EECE 7390
Computer Hardware Security
EECE 7393
Analysis and Design of Data Networks
IE 5360
Digital Manufacturing
PHIL 5010
AI Ethics