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Semester 1

Software Development (15 credits) 

This module provides the fundamental engineering bedrock for any career in computing. By mastering the core logic of programming from variable declarations and conditional iterations to recursion and GUI design, you transition from a user to creator. With a heavy emphasis on industry standard tools like GitHub and Python, this module develops self-directed problem-solving skills required to navigate partial information and build robust, real world software solutions. 

Web Technologies (30 credits) 

This module provides a comprehensive foundation in full stack web development, taking students from initial design to live deployment. By mastering the front-end technologies (HTML, CSS and JavaScript) alongside powerful back end tools like PHP and Ajax, you develop the ability to build dynamic, interactive and secure web applications. The course balances raw coding with the strategic use of Content Management Systems (WordPress and Joomla) and local server environments (WAMP/LAMP), ensuring you can critically select the most robust tools for any real world digital situation. 

Semester 2

Applications of Artificial Intelligence (15 credits) 

This module provides a comprehensive exploration of the AI landscape, moving from its historical foundations to today's state-of-the-art applications. You’ll learn to navigate the complexities of Intelligent Agents and Machine Learning through a systematic lens, developing the ability to map real world problems to specific algorithmic solutions. By balancing technical implementation with a critical evaluation of risks and benefits, the module prepares you to handle uncertainty and partial information, delivering robust AI driven solutions to complex challenges. 

Data Management Technologies (30 credits) 

This module provides a deep dive into the structural backbone of modern computing: the database. From the theoretical foundations of relational modelling and algebra to the high level administration of enterprise scale database servers. By mastering both traditional SQL and emerging NoSQL, Graph and Hierarchical models, you’ll develop the ability to architect, deploy and secure data environments. The module emphasises real world performance tuning and cloud based management, ensuring you can manage data assets with precision, security and scalability.

Semester 3

Optional modules (30 credits)

Data and Decision Making (15 credits) 

This module provides a rigorous bridge from non-technical backgrounds into the heart of data engineering and strategic analytics. By mastering the data management pipeline and the transition from structured to unstructured data, you’ll gain the technical fluency to transform raw information into a competitive business advantage. 

Network and Penetration Testing (15 credits)

This module provides a rigorous introduction to cloud and network security within modern business environments. You’ll develop practical skills in securing cloud infrastructures, configuring Linux and web servers and ensuring business continuity. The course explores network protocols, security tools, cloud security frameworks and regulatory requirements such as GDPR. Through applied activities in situational awareness, intelligence analysis and penetration testing, you’ll gain experience in identifying threats and implementing mitigation measures.  

Semesters 1-3

MSc Project in Computer Science (60 credits) 

This final project is your opportunity to apply your deep understanding of software development, cybersecurity and AI to a significant independent task. You'll manage the entire process from researching sustainable solutions to implementing a robust software, cyber tool or AI product. Working with limited guidance, you'll learn to navigate uncertainty and find reliable solutions even when you only have partial information. By critically choosing the right tools for real world problems and explaining your decisions to both specialist and non-specialist audiences, you'll demonstrate the professional initiative and responsibility needed to lead in the global tech industry. 

Professional Development (no credits) 

This module develops the professional and employability skills required to succeed in a rapidly evolving, technology driven job market. You’ll explore potential career pathways and learn to identify employer expectations through practical, interactive workshops. Key focus areas include CV and application writing, interview techniques, professional networking through LinkedIn and the development of teamwork, emotional intelligence and business‑aware transferable skills.