M.S. in Data Science

M.S. in Data Science

UNCW offers a 16 month, accelerated master's degree in data science. The program is a collaborative effort between departments, the larger academic community and the business community that emphasizes computational-based applications of traditional data analysis methods as well as current trends in data mining and machine learning.

What is the Master of Data Science program?

The Master of Data Science is a professional interdisciplinary program that emphasizes computational-based applications of traditional data analysis methods and current trends in data mining and machine learning to turn data into information, and information into insight.

A key component of the program is the 6 month practicum with a partner organization or institution. Past years partner institutions were Live Oak Bank (Online Banking), Prometrics (Healthcare Analytics), nCino (Financial Tech) and GE Hitachi(Engineering).  See the Practicum page for more information. 

Students are offered the opportunity to:

  • Develop proficiency in both a general-purpose programming language and a statistical programming language
  • Advance skills to build appropriate statistical models to solve real-world analytics problems
  • Enhance the ability to communicate analytical information effectively that solves data interpretation problems specific to employer needs.
  • Be immersed in a team based,  6 month, real world project with an industry or government sponsor 

Who should apply?

  • Recent college graduates looking to pursue paths to understanding interpretation and manipulation of data and how it relates to academic and industry solutions
  • Professionals seeking to advance or innovate their career path by applying analytics to achieve competitive intelligence

Core Coursework

  • Computational Data Science
  • Fundamentals of Statistics
  • Linear Methods
  • Machine Learning
  • Categorical Data Analysis
  • Spatial-Temporal Analysis
  • Practicum/Internship