The Minor in Data Science is jointly offered by the Department of Statistics and the Department of Computer Science and Engineering. It is designed for students in any discipline that uses large data sets, including the sciences, engineering, business, mathematics, and the social sciences.
Prerequisites (8 hours): MATH 122 or MATH 141.
Minor Requirements (18 or 19 Hours)
Required Foundation Course (3 or 4 Hours)
Core Computing Courses (6 Hours):
Core Statistics Courses (6 Hours):
Elective course (3 Hours) – one course from the following
The Data Science Minor is designed for students in any discipline that uses large data sets, including Biology, Business, Mathematics, Psychology, etc. Choosing the correct courses is more complicated for students majoring in Computer Engineering, Computer Science, Computer Information Systems, and Statistics.
No course used to satisfy a Carolina Core, major, or other minor requirement may be used for the Data Science Minor. In the event of conflict, any elective course may be substituted for a required course in this minor.
Administration of the minor
Curricula and other decisions of the minor will be made by a committee comprised of two faculty appointed by the Chair of Statistics and two faculty appointed by the Chair of Computer Science and Engineering.
In The Fourth Paradigm: Data-Intensive Scientific Discovery Jim Gray distinguishes data-intensive science.
“The world of science has changed, and there is no question about this. The new model is for the data to be captured by instruments or generated by simulations before being processed by software and for the resulting information or knowledge to be stored in computers. Scientists only get to look at their data fairly late in this pipeline. The techniques and technologies for such data-intensive science are so different that it is worth distinguishing data-intensive science from computational science as a new, fourth paradigm for scientific exploration .”
The emergence of big data presents a challenge and opportunity for a wide range of academic disciplines. New techniques for aggregating and analyzing data promise to transform both quantitative and previously qualitative disciplines. At the thresholds that separate statistics and computing, “data science” develops automated techniques for extracting knowledge from large amounts of heterogenous information. In just the last four years, data science institutes have been established at many major universities, including the University of Virginia, New York University, and the University of California, Berkeley.
Data science as a field is the intersection of computer science, statistics and an application area. Researchers must plan to work collaboratively in teams with skills in high performance computing, data visualization, machine learning, scalability of statistical methods and inference, and collaborative research on big data applications. Students in STEM fields and other disciplines, including the social sciences and business, especially those considering graduate school, should have this minor as a foundation for their careers in their particular discipline. Data science is essential for our future scientists and researchers.
February 7, 2017
Curricula and Courses Committee,
The Department of Statistics and the Department of Computer Science and Engineering would like to jointly submit this proposal for a Minor of Data Science. This minor should provide a strong foundation in handling large data sets: organizing, statistically analyzing and extracting knowledge from these data sets, i.e. data science. This is a useful skill for all majors but is particularly useful, maybe essential, for all science, engineering, social science and business majors.
Future curricula and other decisions for the minor will be made by a committee comprised of two faculty appointed by the Chair of Statistics and two faculty appointed by the Chair of Computer Science and Engineering.
Professor and Chair
Department of Statistics
Professor and Interim Chair
Department of Computer Science and Engineering
Thank you for submitting your proposal to the Committee on Curricula & Courses. We are moving your proposal forward to the Faculty Senate. We appreciate your patience and commitment to undergraduate and graduate education.
Minors do not go to BOT, no CHE or SACS notification required.