This program is only available online.
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.This is a STEM eligible program
Michael Yacci, Senior Associate Dean for Academic Affairs and Professor
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.
|Program Available Online?||Yes|
|Admit Term||Fall - Online Only|
|Entrance Exam||GRE required for international students only|
|Other||Complete the edX Data Science MicroMaster (9 credits equivalency)|
|English Language Exams:|
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.
|Course||Sem. Cr. Hrs.|
|DSCI-623||Introduction to Data Science: Management||3|
|DSCI-633||Introduction to Data Science: Analytics||3|
|DSCI-644||Software Engineering for Data Science||3|
|DSCI-799||Data Science Capstone||3|
|Total Semester Credit Hours||30|
To be considered for admission to the MS in data science, candidates must fulfill the following requirements:
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.
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.