Penn State’s BS in Cybersecurity Analytics prepares students to defend digital infrastructure through the study of ethical hacking, intrusion detection, network security, cryptography, and threat modeling. The program integrates computer science, law, policy, and behavioral science to train cybersecurity professionals who can predict and mitigate attacks. With access to labs, red team-blue team simulations, and real-world security scenarios, graduates enter roles in cyber defense, risk management, and secure systems design.
Designing a real-time network intrusion detection system
Simulating a ransomware attack and building response protocols
Building a phishing detection engine using machine learning
Developing a log analysis tool for insider threat identification
Penetration testing of a smart home IoT ecosystem
Creating a secure file transfer app with encryption layers
Designing security awareness training simulations for businesses
Threat modeling for cloud infrastructure
Analyzing cyberattack trends using SIEM data
Developing a forensics toolkit for mobile device investigations
Implementing role-based access control for an enterprise app
Red team vs. blue team simulated attack-response competition
Analyzing vulnerabilities in open-source CMS platforms
Building an encrypted chat application using Python
Developing a browser extension to detect malicious URLs
Studying the effects of social engineering on password reuse
Incident response plan development for a financial institution
Designing a cybersecurity dashboard for SMBs
Creating a risk scoring model for healthcare IT systems
Automated vulnerability scanning with OWASP-based tools
Build proactive, data-powered defenses and lead in cybersecurity operations with this hands-on, analytics-driven program.
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