Director: Shanchieh (Jay) Yang
91³Ô¹ÏÍø’s online Master of Science in Cybersecurity equips you with the expertise to mitigate risk within an organization’s computer systems.
Students will learn to look for threats, weaknesses and holes in software and computers systems while studying wired and wireless networks, software, hardware, operating systems, data collection and privacy.
Students in this program will gain deep knowledge in the structure of computer systems and become a strategic thinker who considers human behavior as a key player in any threat.
In many ways students will learn to think like a hacker for good, learning to detect data breaches before they happen and contain them if they do.
M.S. in Cybersecurity: 30 credits
Fall, Semester I: (6 credits) |
|
| CPSC 553 Applied Cryptography (Fall A) |
3 credits |
| CPSC 548 Computer Security (Fall B) | 3 credits |
Spring, Semester 2: (6 credits) |
|
| CPSC 532 Ethics of Advance Computing (Spring A) | 3 credits |
| CPSC 547 Network Security (Spring B) | 3 credits |
Summer, Semester 3: (3 credits) |
|
| CPSC 546 Operating System Security | 3 credits |
Fall, Semester 4: (6 credits) |
|
| CPSC 541 The Internet of Things (Fall A) | 3 credits |
| CPSC 523 Machine Learning for Cybersecurity (Fall B) | 3 credits |
Spring, Semester 5: (6 credits) |
|
| CPSC 510 Intrusion Detection (Spring A) |
3 credits |
| CPSC 511 Offensive Security and Penetration Training (Spring B) | 3 credits |
Summer, Semester 6: (3 credits) |
|
| CPSC 539 Risk Management & Incident Response | 3 credits |
Study of the science and art of computer and network intrusion detection. Topics include monitoring events in computer systems, preventing unwanted activity, and recovering from malicious behavior.
The study of offensive security using ethical hacking techniques. Topics include reconnaissance, operating system fingerprinting, remote network mapping, software and network vulnerabilities and their exploitation, credential gathering, and privilege escalation.
Study of machine learning in the context of cybersecurity. Topics include key ideas in machine learning, processing and analysis of large data collections of security events, building models that detect and respond to malicious events.
An introduction to the many ethical concerns surrounding data selection, collection, storage, retrieval, sale, and use of data sets and the algorithms that use them. Special focus on data bias, ownership, informed consent, data privacy, and security, as well as on algorithm fairness and jobs for those cataloging and tagging data sets, especially regarding workers from the third world or "AI Colonialism".
Equivalent:
DATA 532 - OK if taken since Fall 2024
Study of information assurance for cybersecurity perspective. Topics include risk management, assessment and mitigation, business impact analysis, continuity planning, disaster recovery planning, as well as compliance and audits.
Study of networks of physical devices. Topics include IoT architecture, embedded systems network protocols, and IoT security.
The study of security in modern operation systems. Topics include an overview of security in current operating systems, an examination of fundamental concerns in operating system design, and an analysis of operating system models for overall computer system vulnerability.
Study of networks and network protocols as they apply to cybersecurity. Topics include important concepts in wired and wireless architectures, including the ISO standard layer model, packet switching, satellite packet broadcasting, the interconnection of packet-switched networks, and error control coding. Special attention is given to security threats and countermeasures.
Study of security and information assurance in stand-alone and distributed computing. Topics include ethics, privacy, access control methods and intrusion detection.
Study of sending securing information over an insecure medium. Topics include classical cryptosystems, block ciphers, public key cryptosystems, key exchange protocols, hash functions, and the necessary mathematics.