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Program overview
2 years
Full time/part time
Master's degree
Scholarships available
Start dates




Program description

Data Science MS

Demand is high for professionals skilled in both analytics and computing. Enhance your skill set by learning to manage large-scale data sets in this highly applied data science master's program.

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.

The data science master's is a collaborative program hosted by Golisano College of Computing and Information Sciences and College of 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.

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.
  • Applicants with undergraduate degrees from foreign colleges and universities are required to submit GRE scores.
  • Submit a personal statement of educational objectives.
  • 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.

For more information about admission requirements, please visit the institute website.

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Program content

Data Science (on-campus program)

First Year

  • Applied Data Science I
  • Foundations of Data Science
  • Software Engineering for Data Science
  • Applied Statistics
  • Software Construction
  • Electives

Second Year

  • Applied Data Science II
  • Electives

Data Science (online program)

First Year

  • Introduction to Data Science: Management
  • Foundations of Data Science
  • Applied Statistics
  • Applied Linear Models - Regression
  • Elective

Second Year

  • Software Engineering for Data Science
  • Graduate Capstone
  • Electives

Scholarships & funding

Several scholarship options are available. Please check the institute website for more information.

Tuition fees

Full time

  • Tuition fee for (12-18 Credit Hours): $50,136 per year
  • Tuition fee for (9 Credit Hours): $37,602 per year

Part Time

  • Tuition fee for (30 credits): $1,191 per credit hour

Contact school

Want to know more about this program, Data Science MS? Fill out the following form and include any questions you have. This information will be sent directly to the school, and a representative will respond to your enquiry.


About this institute

Rochester Institute of Technology (RIT) is a privately endowed, coeducational university made up of more than 19,000 students and from all 50 states and over 100 nations.  RIT’s main campus is located in Rochester, NY, USA, which is approximately 350...

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Why study at Rochester Institute of Technology

You should consider RIT for your graduate study because: it has cutting-edge academic programs, outstanding faculty, and first-rate classroom and laboratory facilities; offers unmatched experiential education programs including co-op; has an excellent reputation and rankings; offers generous financial aid to graduate students; delivers a high return on investment; has an environmentally friendly, sustainable campus; provides a diverse student population, and makes a well-connected network of 135,000 alumni available to graduates.

Contact info

Rochester Institute of Technology

Graduate Enrollment, Bausch & Lomb Center, 58 Lomb Memorial Drive
14623 Rochester, NY

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Contact school

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