Data Science has deep roots in computer science, optimization, probability, and statistical inference, and thus it is critical that any Data Science program be hosted jointly by the Department of Statistics and the Department of Computer Science. Rutgers's MSDS program does just that; we offer two closely collaborated but structurally separated subprograms under a unified Rutgers Master in Data Science program. Each of these separate tracks combines the knowledge and expertise of both departments, but they are distinguished by a difference in emphasis.
The Statistics track, which has replaced the previous Data Mining track under the MS Statistics program, directs its focus towards the data analysis aspects of the Data Science field, whereas the Computer Science (CS) track concentrates more on its computer science aspects.
We encourage applications to either of these tracks within the MSDS program. However, please note that prospective students may apply to one track only. In order to make an informed decision with regards to the selection of the track, prospective applicants should refer to our comparison page here. The current site is dedicated to prospective applicants to the Statistics track. Students interested in the CS track should visit the applicable CS site.
The Masters in Data Science Program (MSDS) within the Statistics department offers a 30-credit Master’s degree which will provide its graduates with:
- A deep understanding of the algorithmic tools and computational infrastructure necessary to manage, explore, and make sense of uncertain and complex data
- Computational skills to apply inference principles and prediction techniques to extract actionable value from data repositories
- Strong technical skills for data analystics, visualization, and summarization
- The necessary communication and leadership skills for successful careers as data science professionals