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Faculty of Information Technology

Master of Science in Autonomous Cybersecurity with AI

34 Credit Hours 75% Minimum Grade

Department Welcome

Dr. Mohammad Bany taha

" Welcome to the Master of Science in Autonomous Cybersecurity with AI department! "
Mohammad Bany taha

Welcome to the Master of Science in Autonomous Cybersecurity with Artificial Intelligence at the American University of Madaba (AUM). Guided by AUM’s vision to be a leader in higher education and research, and the Faculty of Information Technology’s mission to integrate theory, practice, and innovation, this program is designed to address the urgent need for advanced solutions in the fast-changing world of cybersecurity.

As cyberattacks increasingly leverage artificial intelligence—becoming faster, smarter, and more adaptive—traditional defenses are no longer sufficient. This program equips students with the knowledge and skills to design and manage AI-driven security systems capable of detecting, predicting, and responding to threats in real time. With a curriculum covering areas such as adversarial machine learning, autonomous incident response, cloud and IoT security, and ethical hacking, students are prepared to meet the demands of the new cybersecurity landscape.

A key strength of this program is its strong integration with industry partners such as JoDDB-Cybershield, enabling students to work on real-world projects that bridge academic research and practical application. Supported by expert faculty and state-of-the-art resources, graduates of this program will be ready to become innovators and leaders, driving the future of autonomous cybersecurity with AI.

Study Plan

Details about the study plan and curriculum.

Course Curriculum: 34 Credit Hours

List of Competencies

Master of Science in Autonomous Cybersecurity with AI - List of Competencies

 

 

 

 

1.  Knowledge & Understanding

  • Master foundational and advanced concepts in cybersecurity, artificial intelligence, machine learning, and autonomous systems.
  • Analyze and model complex cybersecurity scenarios, including AI-generated threats, deepfakes, zero-day exploits, and IoT-driven attacks.
  • Apply theoretical principles of cybersecurity and AI to design autonomous threat detection and response mechanisms.
  • Recognize cutting-edge trends and emerging challenges in AI-driven cyber threats and defense.

2.  Practical & Technical Skills

  • Employ AI and machine learning techniques—such as anomaly detection, adversarial training, and predictive analytics—in cybersecurity contexts.
  • Utilize tools and platforms for real-time monitoring, autonomous incident response, deepfake detection, and threat intelligence.
  • Perform reverse engineering and forensic analysis with data-driven methods enhanced by machine learning.
  • Design and implement self-defending systems capable of predicting, detecting, and neutralizing cyber threats automatically.

3.  Research, Innovation & Project Skills

  • Conduct advanced research and complete projects that integrate AI with cybersecurity to address real-world problems.
  • Translate theoretical knowledge into practical prototyping of security tools; e.g., autonomous agents, resilient AI systems, or adaptive defense frameworks.

4.  Communication & Ethical Reasoning

  • Present and communicate complex AI-cybersecurity solutions clearly to technical and non-technical audiences.
  • Uphold high ethical standards and legal considerations in the design and deployment of AI-powered security systems, reflecting AUM’s commitment to integrity.

5.  Critical Thinking & Professional Development

  • Think creatively and strategically to anticipate new forms of cyber threats and defense strategies.
  • Engage in lifelong learning to adapt to evolving AI and cybersecurity landscapes.
  • Work effectively in interdisciplinary and industry-linked teams, benefiting from AUM’s institute-industry connections.

Program Learning Outcomes

Master of Science in Autonomous Cybersecurity with AI Program Learning Outcomes

Student learning outcomes describe what students are expected to know and be able to do by the time of graduation. By the time of graduation, the Master of Science in Autonomous Cybersecurity with AI Department's program must enable students to attain an ability to:

Apply advanced theoretical and practical knowledge in cybersecurity and artificial intelligence to design and secure autonomous systems, including drones, smart vehicles, and IoT networks.

Develop and implement intelligent algorithms for real-time threat detection, response automation, and cyber defense, using machine learning and deep learning models.

Conduct applied research in emerging areas such as adversarial machine learning, ethical AI, and robust system design to address current and future cybersecurity challenges.

Demonstrate ethical and legal awareness in the deployment of AI-enabled security systems, particularly in sensitive and high-risk domains like defense and national infrastructure, aligning with Jordan’s cybersecurity and data governance policies.

Collaborate effectively with industry partners—including entities such as the Jordan Design and Development Bureau (JODDB)—to solve real-world cybersecurity problems, and communicate complex technical solutions to stakeholders across government, defense, and private sectors.