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Academic Events


Events With the Dean


Past Events

  • Scarlet Speakers: Fifty Years of Rock and Roll and Rutgers

    Join Executive Dean Peter March in New York City as Lenny Kaye presents "Fifty Years of Rock and Roll and Rutgers" as part of the Scarlet "Speakers In the Heart of Manhattan" series.

  • Scarlet Speakers: In the Heart of Manhattan

    The Rutgers School of Arts and Sciences is launching a new speaker series for alumni that brings Rutgers leaders to them. Join Executive Dean Peter March in New York City for the inaugural event when former Rutgers-Law School Dean and current Rutgers Special Counsel John Farmer, presents "The Past and Future of the American Intelligence Community."


Events Calendar

Sort DateDate/TimeTitleHostDescriptionLocation
20180709.090000Mon, Jul 09, 2018 @ 9:00am
Professional Development Mini-Course for Teachers in Holocaust Education Bildner Center for the Study of Jewish LifeThe "History of the Holocaust" mini-course is open to all middle and high school teachers. No prior experience required. PD credits, lunch, educational materials included. Advance registration required. See website for details.
Web Site
Bildner Center For The Study Of Jewish Life
12 College Avenue, New Brunswick, NJ
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 https://jhupbooks.press.jhu.edu/content/reading-and-making-time-eighteenth-century
Rutgers Academic Building (Ab)
6051:
15 Seminary Place, New Brunswick, NJ
20180927.193000Thu, Sep 27, 2018 @ 7:30pm
A Talk by Ruby Namdar, Author of "The Ruined House" 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

ALL UPCOMING SEMINARS AND EVENTS

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

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Rutgers School of Arts and Sciences

77 Hamilton Street
New Brunswick, NJ 08901

P  848-932-7896
info@sas.rutgers.edu
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