Data Science MS


Graduate Admissions Counselor

Matt Stever
585-475-5529, mesges@rit.edu


Department Contact

Michael Yacci, Senior Associate Dean for Academic Affairs and Professor
585-475-5416, mayici@rit.edu


Online Program Available

This program may be completed online. Visit RIT Online for additional information.

Please contact the admissions counselor below for additional information about applying to the online program.

Matt Stever
585-475-5529, mesges@rit.edu


Admission Deadlines & Requirements

Program Available Online? Yes
Application Deadline Rolling
Admit Term Fall - Online Only
Entrance Exam GRE required for international students only
Other
English Language Exams:
TOEFL (Internet) 88
IELTS 6.5
PTE Academic 61

 

Priority deadline - COMPLETE applications that are received by this date are given priority consideration for admission and financial aid (if applicable). Applications received after the priority deadline will be considered on a space-available basis.

Rolling - There is no specific deadline for applications; applications will be accepted and reviewed throughout the year until the program reaches capacity.

Program overview

The MS in data science has a strong career focus and aims to prepare students with the practical and theoretical skills to handle large-scale data management and analysis challenges that arise in today's data-driven organizations.

The program enables students to work with active researchers in the field of data science, analytics, and infrastructure who can provide hands-on experience with real data and 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 goal of the program is to prepare students, regardless of their scientific, engineering, or business background, to pursue a career in data science.

The program is broad-based and comprehensive, combining computing and statistics courses. Core courses include statistics, data management, analytics, and software engineering. Elective courses provide students an opportunity to explore different areas of data science while a capstone project or thesis round out the program.

Curriculum

Data science, MS degree, typical course sequence

Course Sem. Cr. Hrs.
First Year
DSCI-623 Introduction to Data Science: Management 3
DSCI-633 Introduction to Data Science: Analytics 3
STAT-741 Regression Analysis 3
DSCI-644 Software Engineering for Data Science 3
  Electives 6
Second Year
  Electives 6
  Elective/Capstone 3
   DSCI-799 Data Science Capstone 3
Total Semester Credit Hours 30

 

Admission requirements

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

  • Complete a graduate application for online study.
  • 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
  • Have a minimum cumulative GPA of 3.0 (or equivalent). Applicants with a GPS below 3.0 may be considered, but are required to submit GRE scores.
  • 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.

Career Outcomes

The RIT Office of Career Services and Cooperative Education website provides information pertaining to student skills and capabilities, salary data, career information, job outcomes, and contact information for the Career Services Coordinator by program.


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