Dept Banner
Dept Banner
infographics 96majors
infographics 1766 queens
infographics 5 campuses

Arts and Sciences in Action

eight bits make a byteAs today’s information technologies continue to generate vast and complex data sets, algorithmic analytical tools with solid foundations in computer science, statistical theory, and computer-human interaction have become indispensable to all aspects of life, from industry through healthcare. Rutgers University offers two unique Master’s of Science programs in Data Science, each focusing on a separate track within the discipline. Both tracks combine the knowledge and expertise of the Statistics and Computer Science departments, but they are distinguished by a difference in emphasis. We encourage applications to either of these tracks within the MSDS program. However, please note that prospective students may apply to one track only.

 

M.S. in Data Science-Statistics Track

The Statistics Track:

The M.S. in Data Science - Statistics Track is a 30-credit program that covers a broad range of topics, including probability, statistical methods, computational methods, data mining, and machine learning.

The program will allow students to:

  • Have a deep understanding of the nature of uncertainty, modeling, performance checking, and decision making.
  • Develop strong statistical and computational skills for data analysis.
  • Develop strong communication and leadership skills which are essential to a successful career as a data scientist.

 

M.S. in Data Science-Computer Science Track

The Computer Science Track:

The M.S. in Data Science – Computer Science Track is a 36-credit program that focuses on the latest systems, tools, and algorithms to store, retrieve, process, analyze, visualize, and synthesize large data sets. One of the program’s central goals is to create and integrate computerized tools that enhance decision making in social, scientific, and economical endeavors aiming to improve quality of life.

The program will allow students to:

  • Receive solid training in algorithms, probability, statistical learning, computing systems, data mining, machine learning, and visualization.
  • Acquire a deep understanding of the nature of uncertainty, modeling, performance checking, and decision making.
  • Implement interactive tools for data analysis and sense making.
  • Develop strong communication and leadership skills.

Explore Arts and Sciences

Contact Us

contact us gate
Rutgers School of Arts and Sciences

77 Hamilton Street
New Brunswick, NJ 08901

P  848-932-7896
info@sas.rutgers.edu
sas footer branding 2015