Data Science Education at NC State
The Computer Science (CSC) and Statistics (ST) departments offer jointly an interdisciplinary Graduate Certificate Program (GCP) in Data Science Foundations (DSF). Courses in this program are offered online. This program is primarily intended for working professionals who have some formal training in Computer Science and/or Statistics and wish to acquire a basic understanding of data science to improve their on-the-job experience and career prospects. The DSF GCP will also be available to on-campus graduate students in the sciences and engineering who want to expand their knowledge of data science. The DSF GCP requires 12 credit hours.
The Institute for Advanced Analytics – home of the nation’s first Masters in Analytics – has been preparing data savvy professionals for leadership in a digital world since 2007. Its mission is to produce the world’s finest practitioners of analytics — individuals who have mastered complex methods and tools for large-scale data modeling. While the IAA does not offer courses to students outside its programs, many of its instructors teach their IAA modules as part of other courses and there are opportunities for businesses to participate in their capstone practicum.
The Masters Track in Data Science instills students the skills essential to knowledge discovery efforts to identify standard, novel and truly differentiated solutions and decision making, including skills in managing, querying, analyzing, visualizing, and extracting meaning from extremely large data sets.
When the BRC at NC State University was founded in 2000, it was with the understanding that quantitative methods applied to massive datasets are essential to the comprehension of the genomic structure of even the simplest organisms. The BRC offers five degree programs: Master of Bioinformatics, PhD of Bioinformatics, Master of Functional Genomics, Master of Sciences in Functional Genomics, PhD of Functional Genomics.
Offered to current Jenkins graduate management students, the decision analytics certificate helps to develop management professionals who can understand and apply big data analysis to make meaningful decisions.
The Poole College of Management is offering an exciting new opportunity for select Poole College undergraduate honors students – with majors in accounting, business administration or economics – to prepare you for careers in the high-demand field of data analytics. The program is a five-course sequence in analytics with a capstone practicum.
The College of Engineering/Poole College of Management have developed an introductory one-semester course in data science. The course is taught by faculty from CSC and Statistics. The course is available online, has been taught for Cisco, and is available to other industrial partners.
The Center for Geospatial Analytics offers undergraduate courses and graduate degrees in geospatial analytics. The Master of Geospatial Information Science and Technology is available on campus and online. It was the first nationally-designated PSM in GIS. The Graduate Certificate in Geospatial Information Science (GIS) provides students with a graduate level academic credential in advanced Geospatial Information Science applications. The Graduate Minor in Geographic Information Systems provides NC State graduate students the opportunity to develop a recognized minor academic credential in Geographic Information Systems in conjunction with their major program of graduate study. The Graduate Minor in Environmental Remote Sensing provides NC State graduate students the opportunity to develop a recognized minor academic credential in Remote Sensing in conjunction with their major program of graduate study. Master of Natural Resources – GIS Technical Option provides coursework in spatial modeling, remote sensing, geographic information systems, and spatial databases In Fall 2016, CGA will also offer a PhD in Geospatial Analytics.
Undergraduate CSC/ST Course in Data Science
CSC and Statistics jointly teach a one-semester undergraduate survey course in data science that covers data structures, data wrangling, geospatial analytics, visualization, and common data mining techniques.