UConn Master of Engineering, Engineering Data Science

Prerequisite requirements: Four semesters of Calculus: Calculus I, Calculus II, Calculus III, Linear Algebra, along with a programming course (this could be in C, C++, Java or Python)

 

Data Science Plan of Study
 

The PE 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
  • ENGR 5315 – MENG Capstone Project – Students are encouraged to work on a company-sponsored project

Data Science Concentration Course (12 credits)

  • CSE 5717 – Engineering Big Data Analytics
  • CSE 5820 – Artificial Intelligence and Machine Learning
  • CSE 5520 – Data Visualization and Communication
  • CSE 5713 – Data Mining

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 5500 - Algorithms
  • CSE 5850 – Information and Data 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
  • ME 5895 – Computational Nanomechanics

Advanced Systems Engineering

  • SE 5702 - Data Science for Materials and Manufacturing
  • SE 5402 - Architecture of Internet of Things
  • CSE/SE 5095 - Machine Learning for Physical Sciences & Systems

Application
Deadlines

Summer Semester: April 1st
Fall Semester: July 1st
Summer Semester: December 1st