The Goergen Institute for Data Science offers a STEM-accredited MS program in data science. This program allows students to study the broad area of data science or to concentrate their studies in one of the following areas:
- Computational and statistical methods
- Health and biomedical sciences
- Business and social science
The program can be completed in either one year or one and a half years of full-time study. Each graduate will receive a degree conferred by the University's School of Arts and Sciences.
Through the practicum course our students have the opportunity to work with industries to conduct real-world analytics projects using data provided by sponsoring organizations. Practicum students will work in teams of three to four members over the semester to understand the business problem, clean and analyze the data, and devise a solution.
Support for Studies
Support for Research
Students who are seeking research should review websites of GIDS affiliated faculty and the related institutes and centers at the university to find research that may be of interest to them. We also advise students to attend research talks on campus such as the monthly CIRC Symposium Series. The Rochester Data Science Consortium also offers several internships to work on projects during the school year as well as the summer.
Data Science Clubs and Activities
A variety of talks are presented throughout the year that are open for students to attend to learn more about careers and research in data science. They included GIDS Speaker Series, CIRC Symposia Series, and career presentations from alumni and industry.
The greater Rochester community has groups that pertains to individuals in data science and are excellent ways for students to network with professionals in the industry. ROC Data Science and Rochester Python (RocPy) are Meetup groups with members from UR, RIT, other local colleges and various businesses. Their talks, tutorials, and discussions are held at various sites around the Rochester area - often at restaurants, coffee shops, company offices, and occasionally on our own campus - are open to anyone interested in data science.
Graduate students are welcome to engage with others through the Rochester Data Science Society, which serves all students at UR who are interested in data science, statistics or other related fields. Graduate students are also welcome to the Data Science Undergraduate Council at UR, also known as UR NoDES, organizes on-campus hackathons, discussions, parties, and other events throughout the year. Visit their FaceBook page for information about the club.
Support for Internships and Careers
The Greene Center for Career Education and Preparation is a resource students in our program utilize in preparing themselves for careers and assisting with a job search. The Greene Center offers many activities such as preparation workshops, information sessions, career fairs and a robust job postings database.
In addition, our program brings in professionals in data science to review resumes of students in our program. We also bring in monthly speakers to profile various career paths in data science.
The university’s career outcomes website can give you a sense of where our graduates are now working. In addition, you can find many of our graduates on LinkedIn. Our MS graduate students have received positions at distinguished companies, government agencies, and universities, including:
- American Express
- Blizzard Entertainment
- Blue Shield of California
- Carlisle & Company
- Corning, Inc.
- China Merchants Bank
- Ellis Medicine
- HCA Healthcare
- Insight Data Science
- Institute for Defense Analyses (IDA)
- Lockheed Martin
- McGill Metal Processing Center
- McKinsey & Company
- Rochester Data Science Consortium
- Soleo Communications
- Science and Technology Policy Institute
- Springbok Analytics
- Stanford PhD Program
- University of Rochester Medical Center
- Western Digital
Related PhD Programs
Students looking to continue onto a PhD program at Rochester after our MS program can do so by applying to one of the following related programs: