Four to six courses are offered every fall and spring semester in our online format that allows completion of the Master of Engineering degree quickly, from anywhere in the world. The internship abroad replaces the ENGR 5315 Capstone Project.*
M.Eng. Core Courses (12 credits)
- ENGR 5311 – Professional Communication and Information Management
- ENGR 5312 – Engineering Project Planning and Management
- ENGR 5314 – Advanced Engineering Mathematics or
- CSE 5050 – Algorithms & Complexity or
- CSE 5500 Algorithms (choose 1)
- *ENGR 5315 – M.Eng Capstone Project – Students are encouraged to work on a company-sponsored project
Data Science Concentration Course (12 credits)
- CSE 5520 – Data Visualization and Communication
- CSE 5713 – Data Mining
- CSE 5717 – Big Data Analytics
- CSE 5819 – Introduction to Machine Learning
Technical Electives (6 credits total)
A minimum of two elective courses from the following list are required. Other CSE, ECE, ME, or SE courses may also be substituted if mutually agreed by the student, advisor, and the program director.
Advanced Systems Engineering
- SE 5702 – Data Science for Materials and Manufacturing
- CSE 5835/SE 5095 – Machine Learning for Physical Sciences & Systems
Computer Science & Engineering
- CSE 5050 Algorithms & Complexity (cannot be taken to earn credit after taking CSE 5500)
- CSE 5500 Algorithms
- CSE 5312 Architecture of Internet of Things
- CSE 5820 Machine Learning
- CSE 5850 Introduction to Cyber Security
Electrical and Computer Engineering
- ECE 6141 – Neural Networks for Classification and Optimization
- ECE 6437 – Computational Methods for Optimization
Engineering
- ENGR 5314 - Advanced Engineering Mathematics
Mechanical Engineering
- ME 5511 – Principles of Optimum Design
- ME 5895 – AI for Design and Manufacturing
- (or when offered as):
- ME 5895 – Computational Nanomechanics
