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Academic Events

Events With the Dean

Past Events

Events Calendar

Sort DateDate/TimeTitleHostDescriptionLocation
20180924.163000Mon, Sep 24, 2018 @ 4:30pm
Book Discussion: Reading and the Making of TimeCenter for Comparative European StudiesSpeaker: Christina Lupton
Christina Lupton, Professor of English and Comparative Literary Studies at Warwick University in England will visit Rutgers to discuss her new book, Reading and the Making of Time in Eighteenth Century Literature
Rutgers Academic Building (Ab)
15 Seminary Place, New Brunswick, NJ
20180925.200000Tue, Sep 25, 2018 @ 8:00pm
Writers at Rutgers Reading Series: Tyehimba Jess | September 25th | 8PMDepartment of EnglishCome hear and see Pulitzer Prize winning poet Tyehimba Jess read his latest works at the Writers at Rutgers Reading Series on Sept. 25th at 8PM at the College Ave Student Center. Jess is the author of two books of poetry, Leadbelly and Olio.
Web Site
College Avenue Student Center
Multipurpose Room:
126 College Avenue, New Brunswick, NJ
20180927.193000Thu, Sep 27, 2018 @ 7:30pm
Living in English, Writing in Hebrew: A Conversation with Author Ruby Namdar Bildner Center for the Study of Jewish LifeSpeaker: Ruby Namdar
Acclaimed author Ruby Namdar will discuss his recent novel, "The Ruined House," winner of the Sapir Prize, Israel's most prestigious literary award. Namdar's first book, "Haviv," won the Ministry of Culture's Award for Best First Publication.
Web Site
Douglass Student Center
Trayes Hall:
100 George Street, New Brunswick, NJ


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
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