Master of Engineering

Data Science Plan of Study

The Professional Education program offers a Master of Engineering (MENG) degree program in the following areas of concentration: Data Science. Master of Engineering students must complete:

MENG 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 – MENG 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. 

Computer Science & Engineering

• CSE 5050 Algorithms & Complexity (cannot be taken to earn credit after taking CSE 5500)
• CSE 5500 Algorithms
• CSE 5095 Architecture of IoT
• 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

Mechanical Engineering

• ME 5511 – Principles of Optimum Design
• ME 5895 – AI for Design and Manufacturing
  • (or when offered as):
• ME 5895 – Computational Nanomechanics

Engineering

• ENGR 5314 - Advanced Engineering Mathematics

Advanced Systems Engineering

• SE 5702 – Data Science for Materials and Manufacturing
• CSE 5835/SE 5095 – Machine Learning for Physical Sciences & Systems

Your Plan of Study is determined by your catalog year. Please use your Advisement Report or Academic Requirements Report in StudentAdmin to determine your catalog year.

Computer Science & Engineering Department: Admission Requirements_Data Science.docx