Overview

One of the hottest fields in computing, the data science masters gives you the practical and theoretical skills to handle large-scale data management and analysis challenges that arise in today's data-driven organizations. This program appeals to professionals looking to enhance their skill set and includes opportunities for customized course work within the broad field of data science and its various application areas.

In response to the growing need to generate and analyze meaningful data across all industries, demand is on the rise for a new breed of professionals skilled in both analytics and computing. By 2020, data science job openings are projected to grow by 15 percent. The MS in data science encourages students to work with faculty experts in the field of data science, analytics, and infrastructure who provide hands-on experience solving real problems. The curriculum includes opportunities for students to choose elective courses to pursue a variety of career paths within the broad field of data science and its various application areas. The program prepares students—regardless of their scientific, engineering, or business background—to pursue a career in data science.

You'll take courses that provide deep learning taught by RIT faculty who are experts in the field of data science. You’ll learn the skills that are recognized by employers for their real job relevance. The program is available both online and on-campus.

Curriculum

Data Science, MS degree, typical course sequence (on-campus program)

First Year

  • DSCI-601 Applied Data Science I
  • DSCI-602 Applied Data Science II
  • DSCI-633 Foundations of Data Science
  • DSCI-644 Software Engineering for Data Science
  • STAT-614 Principles of Statistics
  • Electives

Second Year

  • DSCI-603 Applied Data Science III 1
  • Choose one of the following:
    • DSCI-799 Graduate Capstone
      or
    • DSCI-681 Applied Data Science Directed Study I
    • DSCI-682 Applied Data Science Directed Study II
  • STAT-641Applied Linear Models - Regression
  • Elective

Data Science, MS degree, typical course sequence (online program)

First Year

  • DSCI-623 Introduction to Data Science: Management
  • DSCI-644 Software Engineering for Data Science
  • STAT-641 Applied Linear Models - Regression
  • edX Micromasters Courses

Second Year

  • DSCI-799Graduate Capstone
  • edX Micromasters Course
  • Electives

Admission Requirements

To be considered for admission to the MS in data science, candidates must fulfill the following requirements:

  • Complete a graduate application.
  • Hold a baccalaureate degree (or equivalent) from an accredited university.
  • Have prior knowledge or professional experience in computer programming and statistics.
  • Submit transcripts (in English) of all previously completed undergraduate and graduate course work
  • Submit a minimum of two recommendations from individuals who are well-qualified to assess the applicant’s potential for success.
  • Submit a current resume or curriculum vitae.
  • Have a minimum cumulative GPA of 3.0 (or equivalent).
  • International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE. A minimum TOEFL score of 88 (internet-based) is required. A minimum IELTS score of 6.5 is required. The English language test score requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions.
  • Certain countries are subject to comprehensive embargoes under US Export Controls, which prohibit virtually ALL exports, imports, and other transactions without a license or other US Government authorization. Learners from Syria, Sudan, North Korea, the Crimea region of the Ukraine, Iran, and Cuba may not register for RIT online courses. Nor may individuals on the United States Treasury Department’s list of Specially Designated Nationals or the United States Commerce Department’s table of Deny Orders. By registering for RIT online courses, you represent and warrant that you are not located in, under the control of, or a national or resident of any such country or on any such list.
Program taught in:
  • English
Rochester Institute of Technology (RIT)

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Last updated July 17, 2019
This course is Online, Campus based
Start Date
Aug 26, 2019
Duration
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Full-time
Price
Deadline
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Rolling admission
By locations
By date
Start Date
Aug 26, 2019
End Date
May 8, 2021
Application deadline
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Rolling admission

Aug 26, 2019

Location
Application deadline
Request Info
Rolling admission
End Date
May 8, 2021