The University offers an interdepartmental BA with a focus on data science. The major combines computer science, statistics, and a student’s choice of advanced course work in any one of a number of different application areas of data science, including business, biology, earth and environmental science, political science, and others.
The Institute for Data Science offers a Master of Science degree with the option to have a concentration in computational and statistical methods, health and biomedical sciences, or business and social science. The program can be completed in one year of full-time study.
The Department of Computer Science offers a Master of Science whose many options include courses in data mining, machine learning, and computer vision. The MS can be completed in 2 to 3 semesters of full-time study. Part-time students are also welcome. Courses are offered during the day only.
The Department of Biostatistics and Computational Biology of the School of Medicine and Dentistry offers graduate programs leading to an MA degree in Statistics or an MS degree in Medical Statistics. The department conducts teaching and research in statistical methodology oriented toward the health sciences, and in statistical theory and stochastic modeling growing out of research in the health sciences.
The University of Rochester School of Medicine and Dentistry offers many PhD programs in medical areas of data science, including Epidemiology; Genetics, Genomics and Development; Neuroscience; Computational Biology; and Statistics.
The Department of Computer Science offers a PhD program that can be completed in four to five years of full-time study. Data science research in the department includes machine learning, natural language processing, and parallel and distributed systems. Students with a bachelor’s degree in computer science or related fields can apply for direct admission into the PhD program, and receive full financial support, covering both tuition and a paid stipend.
Data science is helping researchers make sense out of vast quantities of information. The field has evolved as a hybrid of research in statistics, electrical and computer engineering, computer science, and scientific information. It is driven largely by the proliferation of data in the digital age.
In 2012, IBM noted that every day we create 2.5 quintillion bytes of data—so much so that 90 percent of the data in the world today has been created in the last two years alone.