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Masters

MS in Data Science

Columbia University
New York , United States
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Program Details
Degree
Masters
Major
Computer Science | Data Science | Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Course Language
English
About Program

Program Overview

MS in Data Science Program

The MS in Data Science program at Columbia University allows students to apply data science techniques to their field of interest. This program is one of the most highly rated and sought-after advanced data science programs in the world.


Program Highlights

  • Columbia data science students have the opportunity to conduct original research, complete a Capstone project, and interact with industry partners and world-class faculty.
  • This program is jointly offered in collaboration with the Graduate School of Arts and Sciences’ Department of Statistics, and Columbia Engineering’s Department of Computer Science and Department of Industrial Engineering and Operations Research.

Deadlines

Fall Application Deadline

  • Priority Deadline: January 15
  • Final Deadline: February 15

Program Overview

At Columbia, the MS in Data Science program offers more than just academics. Students have access to seminars, industry events, and opportunities to see how data science works in real life. As a student, you get the whole package—the academics and the industry exposure together.


Career Opportunities

Graduates of Columbia's MS in Data Science program are leading across all fields and sectors. Some of the employers of Columbia data science graduates include:


  • Alibaba
  • Amazon
  • Aptly Technology
  • Bilibili
  • ByteDance
  • BCG Gamma
  • C3 AI
  • China Telecom Americas
  • CIBC
  • Citibank
  • Cowen
  • CTA NYC
  • CURO Management
  • DIA Associates
  • DiDi
  • Discover Financial Services
  • Egan-Jones
  • Eightfold AI
  • Ernst & Young
  • General Electric
  • Goldman Sachs
  • Google
  • Hello Fresh
  • Houlihan Lokey
  • Huawei
  • IBM
  • Jingdong
  • J.P. Morgan
  • LinkedIn
  • L’Oreal
  • McKinsey & Company
  • Meituan
  • Meta
  • MetLife
  • Microsoft
  • Moody’s
  • Nanjing Securities
  • NBC Universal
  • Netease Game
  • Nielson
  • Nuveen
  • Oscar Health
  • Oracle
  • PayPal
  • Prudential
  • Quaft Technologies
  • Resilience Code
  • Roku
  • SentiLink
  • Sentry
  • Sia Partners
  • Slalom Consulting
  • SparkCognition
  • Splunk
  • Starbucks
  • Tableau
  • Tata
  • Tencent
  • Vanguard
  • Visa
  • Walmart
  • Warner Music Group
  • WeRide Corp

Program Structure

The program includes:


  • Admissions
  • Curriculum
  • Student Experience
  • Capstone Projects
  • Data Science Course Listings

Research Areas

Columbia University's Data Science Institute has various research areas, including:


  • Smart Cities
  • Sense, Collect, and Move Data
  • Health Analytics
  • Foundations of Data Science
  • Financial and Business Analytics
  • Data, Media, and Society
  • Cybersecurity
  • AI for Sciences and Engineering

Working Groups

The Data Science Institute also has working groups focused on:


  • Education
  • Computational Social Science

Engagement Opportunities

There are opportunities for engagement with the Data Science Institute for:


  • Alumni
  • Faculty and Researchers
  • Industry
  • Students
  • Giving

News and Events

The Data Science Institute at Columbia University hosts various events and publishes news related to data science research and applications.


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