The Master of Science (MS) in data science program at the University of Rochester provides students with a strong background in the fundamentals and applications of data science, and is accredited by New York State.
The program is designed for students with a background in any field of science, engineering, mathematics or business, and can be completed in two to three semesters of full-time study.
Students have the option of exploring data science broadly or concentrating their studies on one of the following application areas:
- Computational methods
- Statistical methodology
- Health and biomedical sciences
- Business and social science
In lieu of a master's thesis, MS students complete a semester-long practicum project. The practicum project gives students get a taste for working in the industry - conducting real-world analytics projects using data provided by sponsoring organizations. Practicum students work in teams to understand their sponsor's business problem, clean and analyze data, and devise an appropriate solution. Students also explore ethical issues related to the use of data science.
The advanced certificate in data science prepares students to apply data science techniques, including machine learning, to derive insights from large data sets in various application domains.
This program is designed for students who have a working knowledge of data science but would like to formalize their training and gain a deeper mastery of fundamental concepts in the field.
The program can be completed in two to four semesters of part-time study, and is open to matriculated University of Rochester employees and graduate students, as well as industry professionals with bachelors degrees.
In the ever-expanding and evolving world of data science, the Goergen Institute aims to equip its students with real-world applied skills that are relevant to the world we live in. In addition to traditional, theoretical classes, students at the Institute benefit from a selection of pragmatic, experiential courses, such as Data Science at Scale and the practicum. These hands-on courses are created in collaboration with industry players to teach students the essential skills they'll need for their careers.
In addition, data science students at Rochester benefit from the Goergen Institute's unique position as the University's interdisciplinary data science hub. Students have access to over 70 affiliated faculty members from across campus, and frequently participate in research projects and collaborations while working towards their degrees.
Data Science students at Rochester also tailor their graduate credential to their interests and career stage. Master of Science candidates choose from a range of data science application areas depending on their interests and career goals. For the advanced certificate, students choose between three course plans, depending on their programming and statistics experience. With just over 5000 graduate students, the University of Rochester offers a top-tier, research university experience in a close-knit, community-oriented environment.