Faculty of Information Technology Engineering

College Vision:

Preparing engineers and technology leaders who combine a solid scientific foundation with advanced applied skills in software, artificial intelligence, and cybersecurity—meeting the needs of the digital economy and fostering responsible innovation—while providing bilingual (Arabic/English) instruction and upholding the ethics of technology.

Programs and Unique Features:

First: B.Sc. in Computer Engineering & Artificial Intelligence

Program Identity: A practice-oriented bachelor’s program for software and AI engineers (3 years – 8 semesters).

Unique Features:

• Building a strong foundation in algorithms, data structures, operating systems, databases, and networks, followed by specialization in machine learning, deep learning, computer vision, and natural language processing.

• Project-based curriculum: a hands-on project every semester, plus a capstone addressing a real problem with an industry/community partner.

• Embedded information security and digital ethics components (secure coding, data privacy, responsible AI).

• Virtual and cloud labs (DevOps, containers, CI/CD) with practical training on industry tools.

• Alignment with recognized professional certifications (e.g., Python, Cloud Fundamentals, Network Fundamentals, Security Fundamentals).

• Elective tracks: Tech Entrepreneurship/Digital Product, Applied Data Analytics, Intelligent Embedded Systems.

• Bilingual technical and language support, plus skills workshops (technical writing, presentations, collaboration via Git).

Second: M.Sc. in Artificial Intelligence & Cybersecurity

Program Identity: A research/applied program (4 semesters) that integrates AI with information security to address modern threats.

Unique Features:

• Advanced topics: machine learning for security, anomaly detection, data-driven malware analysis, cloud security, differential privacy, and IoT system security.

• Offensive/defensive simulation lab (Red/Blue Team) and data-supported incident-response exercises.

• Option for a thesis or an applied project aimed at publication or industrial deployment.

• Methodological seminars in AI ethics, algorithmic governance, and algorithmic bias.

• Alignment with advanced certification pathways in security, networking, and cloud.

• Cross-department collaboration opportunities (Data Science, Business Administration) to build integrated AI-security solutions.