Cybersecurity Certificate Online

• 12 credit hours (four courses)

You will take one required course, Cybersecurity Fundamentals:

• An introduction to networking and the Internet protocol stack, including vulnerable protocols such as HTTP, DNS, and BGP. You'll get an overview of wireless communications, vulnerabilities, and security protocols. You'll also learn about cryptography, cyber threats and defenses, firewalls and IDS/IPS, and more.

You will choose three of these four courses to complete the certificate:

• Cryptography for Cybersecurity
  This course covers mathematical foundations, including information theory, number theory, factoring, and prime number generation. Course details include cryptographic protocols, including basic building blocks and protocols. This course also covers cryptographic techniques (including key generation and key management) and applications, and cryptographic algorithms.
• Networked Systems Security
  This class will familiarize you with authentication in cyber systems technology including SSO and password, address, and biometrics-based systems. You'll go over authorization and accounting in cyber systems. You'll learn critical skills in securing wired and wireless networks and applications including e-mail, web, and e-commerce applications. Security and privacy in cloud environments will also be covered.
• Information Assurance
  In this course, you will learn about metrics, planning and deployment; identity and trust technologies; verification and evaluation, and more. This course also covers human factors such as regulation and policy languages, and legal, ethical, and social outcomes.
• Data Analytics for Cybersecurity
  The course introduces classical and advanced models and techniques in machine learning and deep learning. It applies these techniques in the cybersecurity domain including anomaly detection, network security, and malware detection and classification. Advanced applications such as self-driving cars and IoT systems are also discussed. In addition, cyber-attacks on machine learning techniques and AI systems and the possible consequences are also discussed.

Access course materials online from any location. Many classes don't have a scheduled meeting time, so you can fit class into your personal schedule. The instructor may schedule assignments and exams at specific times. All courses follow ODU's regular academic calendar.

Rates are effective Fall 2020 and subject to change.
* In-state rate assumes residency requirements are met.