As cyber attacks become more powerful and frequent, North Carolina A&T State University is again expanding its graduate-level cybersecurity program.
A national initiative announced Thursday will provide funding for the Department of Computer Science to expand enrollment in its master’s and doctoral programs. The growth comes just a year after the department admitted its first students at the Ph.D. level.
N.C. A&T will work with 12 other historically black colleges and universities and two national laboratories to dramatically grow the workforce of professionals, researchers and academics prepared to lead the nation’s defense against cyber attacks.
The project will be funded by the federal Cybersecurity Workforce Pipeline Consortium, a program to spark interest in cybersecurity in students from elementary school to graduate school. The $25 million, five-year program is sponsored by the U.S. Department of Energy and its National Nuclear Security Administration.
A&T will be involved at the master’s and doctorate levels. Graduates from the other colleges and universities will study and conduct research at A&T.
Research will focus on cyber-identity protection and privacy in addition to cybersecurity in general.
The NSF was up early this morning, announcing that it has awarded $15 million in grants to advance its Big Data initiative. Among the winners: A UNC-CH/Harvard/N.C. A&T team and its project, “DataBridge – A Sociometric System for Long-Tail Science Data Collections.” UNC-CH is the team leader.
Dr. Justin Zhan of the Department of Computer Science is the A&T investigator on the project. The short description:
“The sheer volume and diversity of data present a new set of challenges in locating all of the data relevant to a particular line of scientific research. Taking full advantage of the unique data in the ‘long-tail of science’ requires new tools specifically created to assist scientists in their search for relevant data sets. DataBridge supports advances in science and engineering by directly enabling and improving discovery of relevant scientific data across large, distributed and diverse collections using socio-metric networks. The system will also provide an easy means of publishing data through the DataBridge, and incentivize data producers to do so by enhancing collaboration and data-oriented networking.”