MSSWE Concentrations

The Elmore Family School of Electrical and Computer Engineering offers the following concentrations for MSSWE students. Click the links to see details for each concentration.

• Cybersecurity
• Embedded Software, Robotics, and Controls
• Machine Learning and Data Science
• Systems Software

Additional information about concentrations:

• Students may have up to two concentrations on their MSSWE plan of study, but concentrations are optional. 
• Concentrations can be added to the plan of study in the Research Area and Concentration section. 
• Concentrations appear on the transcript but not on the diploma. 

Cybersecurity

MSSWE students can earn the Cybersecurity concentration by completing 9 credit hours from this list; additional relevant coursework may be approved by the student’s plan-of-study advisor.

• ECE 59500, Introduction to Game Theory
• ECE 69500, Hardware and Software Security
• ECE 60852, Holistic Software Security
• ECE 69500, Introduction to Applied Cryptography
• CS 52600, Information Security
• CS 52700, Software Security
• CS 52800, Network Security
• CS 55500, Cryptography

Embedded Software, Robotics, and Controls

MSSWE students can earn the Embedded Software, Robotics, and Controls concentration by completing 9 credit hours from this list; additional relevant coursework may be approved by the student’s plan-of-study advisor.

• ECE 56800, Embedded Systems
• ECE 58000, Optimization Methods for Systems and Control
• ECE 56900, Intro to Robotic Systems
• ECE 60872, Fault-Tolerant Computer System Design
• ECE 66100, Computer Vision
• ECE 60864, Advanced Internet of Things Design and Applications
• ECE 69500, Intro to Robotics, Autonomy, and IoT

Machine Learning and Data Science

MSSWE students can earn the Machine Learning and Data Science concentration by completing 9 credit hours from this list; additional relevant coursework may be approved by the student’s plan-of-study advisor.

• ECE 50024, Machine Learning
• ECE 50863, Introduction to Data Mining
• ECE 56200, Introduction to Data Management
• ECE 57000, Artificial Intelligence
• ECE 59500, Deep Learning for Computer Vision 
• ECE 59500, Introduction to Deep Learning
• ECE 59500, Natural Language Processing
• ECE 59500, Reinforcement Learning
• ECE 60146, Deep Learning
• ECE 62900, Introduction to Neural Networks
• ECE 66100, Computer Vision
• ECE 60131, Inference and Learning in Generative Models
• ECE 69500, Machine Learning for Bioinformatics and Healthcare
• ECE 69500, Optimization for Deep Learning
• ECE 69500, Big Data for Reliability and Security
• CS 57300, Data Mining

Systems Software

MSSWE students can earn the Systems Software concentration by completing 9 credit hours from this list; additional relevant coursework may be approved by the student’s plan-of-study advisor.

• ECE 50863, Computer Network Systems
• ECE 56300, Programming Parallel Machines
• ECE 57300, Compilers and Translator Writing Systems
• ECE 59500, Introduction to Compilers I: Compiler Basics
• ECE 59500, Introduction to Compilers II: Code Generation
• ECE 59500, Introduction to Compilers III: Optimization
• ECE 62400, Multimedia Systems
• ECE 66300, Compiler Code Generation, Optimization, and Parallelization
• ECE 67300, Distributed Computing Systems
• ECE 60850, Datacenter and Cloud Networks
• ECE 69500, Introduction to Operating Systems