Foundation of Computer & IT Systems

Introduction to the basic concepts, terminology, fields, and history of computer science, while providing students with the opportunity to develop their academic skills in studying, writing, researching, and presenting scientific topics. The course covers topics such as the history of computing, computational theory, number systems, introduction to algorithms and data structures, microprocessors, machine language and assembly, computer architecture, operating systems, compilers and interpreters, software, hardware, and networks.

Logic & Discrete Mathematics

Introduction to mathematical concepts and methods primarily applied in computer science, including set theory, Boolean algebra, logic, differential and integral calculus, linear algebra, graph theory, numerical analysis, and iterative methods.

Programming

This module introduces the fundamental principles, concepts and practices of computer programming, with an emphasis on the design, implementation and testing of software applications. Practical work is undertaken using Python, one of the most widely used programming languages in both industry and the scientific community. Students develop strong foundations in algorithmic thinking and problem-solving, preparing them for more advanced modules in software development.

Fundamentals of Networks & Security

This module covers the fundamental concepts of computer networking, including the OSI and TCP/IP models, IPv4 addressing, the TCP, UDP, HTTP and DHCP protocols, as well as routing, switching and Local Area Network (LAN) design. Students gain practical experience in configuring and analysing networks using tools such as Cisco Packet Tracer, while also being introduced to the principles of cybersecurity through network traffic analysis using Wireshark.

Computer Systems, Data Structures & Data Management

This course explores two related but distinct fundamental concepts of computational applications in practice: human-computer interaction and data. The course includes product design, user interface design, usability, data representation, data modeling, and data storage. Data structures and their manipulation are implemented using the Java/Python programming languages.

Scripting & Web Technologies

This course provides an introduction to modern web/scripting software development environments as a means of developing cross-platform applications, including internet-based applications. These platforms provide code-based approaches and methodologies for software development, allowing for rapid application development, including remote management and cybersecurity.

English I

Students develop general English language skills, such as reading, writing, listening, and speaking, and are introduced to academic English. They also enhance their abilities in grammar, pronunciation, and general and specific vocabulary related to computer science terminology. By the end of the course, their level of academic English will be at the midpoint of B2 according to CEFR, equivalent to IELTS 5.5.

Ethical Hacking

The course covers the principles and methods for managing and securing a LAN network from internal and external threats. The course content includes security identifiers, encryption, monitoring and interpretation of logs and alerts, implementation of firewalls, user permissions, security policies, ethical issues in policy enforcement, backup protection and fault tolerance techniques, and techniques for dealing with attacks from hackers.

Legal, Ethical & Sustainability Issues

This module examines the legal, ethical and environmental aspects of the development and use of information systems. Students explore topics including data protection, cybersecurity, intellectual property, professional ethics, and the principles of sustainability and responsible digital technology use, in line with current international standards and relevant legal and regulatory frameworks.

Software Engineering

The course focuses on software development from a software engineering perspective and provides the theory and practical skills for producing software that meets user expectations in terms of quality, functionality, and development within predefined time and budget constraints. The course thoroughly examines the Software Development Life Cycle (SDLC), presenting methodologies for analysis, design, standardization, implementation, testing, installation, and maintenance of programmes.

Data Driven Systems

This module explores the concepts, theories and technologies underpinning data-driven systems for the organisation, storage and retrieval of large volumes of data. Students develop the practical skills required to design and implement robust and scalable database systems while gaining an understanding of the challenges associated with storing, maintaining and managing large-scale data. The module also covers database optimisation techniques and the development of different database management systems.

Communication & Security Protocols

This course examines data protection mechanisms suitable for various systems and architectures within the Internet, with a particular focus on cryptographic mechanisms, communication management and security measures, and network security devices. These mechanisms provide data confidentiality, integrity, as well as access control and identity verification mechanisms.

Team Project

This module provides students with the opportunity to work collaboratively in teams to design, develop and deliver a complete software project using contemporary software development and project management methodologies. Through collaborative practice, students develop both technical and professional skills, including teamwork, communication, requirements management, version control, technical documentation and effective project organisation. The module also enables students to apply core Software Engineering principles, including project management, code review and standardisation, design patterns, prototyping and the production of professional technical documentation.

English II

This course builds upon the English I course and further develops students' general and academic skills in reading, writing, listening, and speaking. Students are exposed to more advanced forms of academic English and enhance their abilities in grammar, pronunciation, and general as well as specialized vocabulary related to computer science. In the end, students are expected to demonstrate a higher level of proficiency in English for academic and professional purposes.

Artificial Intelligence for Security:

This module introduces students to the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques for addressing contemporary cybersecurity challenges. Through practical applications using Python and modern AI libraries, students develop solutions for anomaly detection, malicious activity identification and the automation of information security processes.

Security Architectures & Future Trends:

This module examines modern cybersecurity architectures and the emerging technologies shaping the future of information systems security. Students explore security architectures for cloud computing, the Internet of Things (IoT) and contemporary enterprise networks, while investigating emerging threats and technological developments. The module equips students with the knowledge required to design secure, resilient and future-ready information infrastructures.

Individual Project:

The individual project allows students to demonstrate their ability to develop a substantial piece of work related to their specialization. It can be a significant research piece following recognized research methodology or the implementation, testing, and evaluation of a significant "design and development" project in the field of computer science. Students are supported and guided by a member of the academic staff, i.e., a supervising professor, but the project is defined and implemented by the student.

Frontiers in AI and Data Science:

This module introduces students to contemporary developments in Artificial Intelligence (AI) and Data Science, covering the core principles of machine learning, data analytics and knowledge discovery. Through practical applications using Python and modern AI libraries, students gain experience in developing, evaluating and deploying AI models to solve real-world problems.

Security Management:

This module examines strategic approaches that can be taken to manage security systems. It focuses on areas critical to maintaining security on both a daily operational basis and in crisis situations. It covers information security management and risk management related to information technology, networks, information systems, data, and critical business systems.

It covers important security management principles and functions involved in protecting an organization's critical information, network resources, and assets. It provides information on what information/network security experts would do concerning systems and policies to ensure the secure operation of networked business units and guidelines for recovery in case of a disaster.