Data Science Education at UNC Chapel Hill
UNC-CH has a number of programs that focus on various aspects of data science. There are also plans underway for developing additional programs and building upon those already in existence. This is in addition to the general programs that exist at both the graduate and undergraduate level in statistics, computer science, business analytics, health informatics, and so forth. We also have significant quantitative training in the natural and social sciences. Still, we are eager to do more and actively planning to expand our efforts in data science research and training.
Several specific programs at UNC-CH include:
PhD. and Graduate Certificate programs in Bioinformatics and Computational Biology
Professional Science Masters in Biomedical and Health Informatics
Professional Science Masters in Data Curation (planned for Fall, 2016) (SILS)
Post-Masters Certificate in Data Curation (SILS)
High-Throughput Sequencing Facility, Bioinformatics
M.S. in Interdisciplinary studies in Statistics and Operations Research
Carolina Digital Humanities Initiative
Programs being planned at UNC-CH include:
Professional Science Masters in Data Science
Graduate Certificate in Data Science
Possible Undergraduate minor in Data Science/Data Studies
There are numerous other mechanisms for delivering data science training outside of the formal 3-credit hour mechanism. For example, the Odum Institute, in partnership with the National Consortium for Data Science and the Renaissance Computing Institute, offers a week-long summer training program called Data Matters. Data Matters consists of 12-18 courses that each last one or two days that are taught during a one-week period each summer. Courses range from a general introduction to Data Science to advanced courses on visualization, machine learning, and programming, to applied courses in data management and open access. This year we are adding several courses related to survey research.
The Odum Institute also offers workshops ranging from 2 to 14 hours of class time on a broad range of quantitative, programming, and data-related topics every academic year.
The Odum Institute is heavily involved in developing a Massive Open Online Course (MOOC) on data management. We provide some additional limited training materials online, and we are actively exploring an expansion of these efforts.
POC: Tom Carsey, Director of the Odum Institute for Research in Social Science, email@example.com