Availability of unprecedented amounts of data and emerging scalable technologies are changing the way we make decisions. Data Science is the study of collecting, maintaining, processing and communicating intelligent insights about complex data. The professional Master of Science in Data Science program is a multi-disciplinary program designed to create tomorrow’s leading data scientists. The Master is available Online now. The on-campus Master is available beginning in Fall 2021.

Overview

MS in Data Science is a 1-year, on-campus program which is a fusion of statistical and computing technologies including data mining, machine learning, cloud computing, and visualization. Students have options to work with faculty on a research project, do an internship with one of our co-op partners or create a capstone data science project from start to finish. 

The program features a Special Topics course to address the ever changing current issues and techniques in Data Science. We currently offer Special Topics courses in Advanced Mobility and Cybersecurity.

Curriculum

Term 1 Term 2 Term 3 Term 4
CS-641
Foundations of Data Science

CS-665
Data Mining and Information Retrieval

Prerequisite: CS-641

CS-661 
Database Systems

Prerequisite: CS-641

CS-691
Special Topics in Data Science
MATH-627
Probability and Stochastic Modeling

CS-651 
Cloud Computing - Architecture & Applications

Prerequisite: CS-641

CS-682
Machine Learning

Prerequisite: CS-641

CS-690
Capstone Project in Data Science 

or 

CS-693
Internship

COMM-601
Communicating Data
MATH-637
Statistical Inference and Modeling

 

 

Objectives

  • Prepare students for professional work as data scientist in any data intensive domain.  
  • Provide students with current high demand, highly scalable statistical and computing techniques for processing big data. 
  • Create tomorrow’s leaders in the field of data science 

Requirements

To be considered for the program, you must have completed the following courses (or equivalents) as part of your baccalaureate degree:

  • Calculus I  and Calculus II

  • Probability and statistics, or an advanced physics, engineering, or econometrics course with heavy mathematical content

  • Linear Algebra

  • Intro to Computer Science (or an equivalent “CS1” programming course). We have no requirements in regard to specific programming languages, but we generally expect serious academic and/or professional experience with an object-oriented language such as Python, Java, or C#.

Additional Admission Requirements >