Dr. Kishan Mehrotra, Professor and Chair, email@example.com
4-177 Center for Science and Technology
Thomas Barnard, Howard A. Blair, Tomislav Bujanovic, Stephen J. Chapin, Biao Chen, C.Y. Roger Chen, Shiu-Kai Chin, Jun Hwan (Brandon) Choi, Wenliang (Kevin) Du, Sara Eftekharnejad, Ehat Ercanli, Makan Fardad, James W. Fawcett, Prasanta Ghosh, Jennifer Graham, Mustafa Cenk Gursoy, Can Isik, Andrew Chung-Yeung Lee, Jay Kyoon Lee, Yingbin Liang, Duane L. Marcy, Kishan G. Mehrotra, Chilukuri K. Mohan, Jae C. Oh, Susan Older, Vir Phoha, Qinru Qiu, James S. Royer, Jeffrey Saltz, Tapan K. Sarkar, Fred Schlereth, Q. Wang Song, Sucheta Soundarajan, Jian Tang, Yuzhe (Richard) Tang, William C. Tetley, Pramod K. Varshney, Senem Velipasalar, Li Wang, Hong Wang, Yanzhi Wang, Heng Yin, Edmund Yu, Reza Zafarani
The global electrical power grid, financial services, and other critical infrastructure are inextricably dependent on robust cybersecurity to ensure security trust, and system assurance. The explosion in the Internet of Things domain is increasing connectedness amongst devices and the need for securing the resulting data is paramount in today’s world. Syracuse University’s M.S. in Cybersecurity program is designed to address this national and global need.
Syracuse University has been designated by the National Security Agency and Department of Homeland Security as a Center of Academic Excellence in Information Assurance Research (CAE-R) since 2009.
Students graduating from this program will be able to:;
- identify and analyze vulnerabilities in systems;
- assess the risks faced by systems;
- develop countermeasures to remedy risks;
- develop systems that are secure
- deliver software components or systems that have verifiable assurance properties.
Applicants to the M.S. in Cybersecurity should have completed a B.S. in computer science or computer engineering and have the following knowledge and abilities:
- Basic systems knowledge (e.g., fundamentals of traps, interrupts, and trap handling at the instruction-set architecture level; concurrency and coordination mechanisms; access-control matrices, basics of access-control lists and capabilities)Systems programming basics
- Data structures
- Discrete mathematics
- High-level programming experience
- GRE Verbal score of 150 or better (using New GRE Score System);
- GRE Quantitative score of 155 or better (using New GRE Score System);
- GRE Analytical (multiple choice) score of 650 or better, or a score of 3.5 or better in the new Analytical Writing;
- for international students: TOEFL computer-based score of 223 (Internet-based score 85; paper-based score 563) or better;
- grade point average (GPA) of 3.0/4.0 or better.
Some, but not all, students are provided merit-based tuition scholarships.