COURSE CURRICULUM

The MSc in Software Engineering course offers a well-structured and comprehensive curriculum that blends core software engineering principles with the opportunity to specialise in either Software Process and Analysis or Data Analytics. The program begins with essential modules such as Research Methods and Practice, Software Design, and Software Development Paradigms, which provide a strong foundation in key methodologies, programming models, and research approaches. Concurrency and Parallelism in Software Development introduces students to techniques for building efficient, high-performance applications that can handle multiple tasks simultaneously, which is critical in modern software systems.Students can then choose between two specialisation streams. Stream 1, Software Process and Analysis, focuses on advanced software engineering practices including Software Evolution, Software Engineering Requirements, and Project Management and Practice. This stream is ideal for students interested in the full software development lifecycle, from planning and requirement gathering to maintenance and evolution of systems. Stream 2, Data Analytics, is tailored for those who want to explore the data science aspect of software engineering. It includes modules such as Machine Learning and Applications, Applied Big Data and Visualisation, and Data Mining, providing the knowledge to extract insights from data and build intelligent software systems.Additional modules across both streams include Software Quality, which teaches how to ensure software reliability and performance, Human-Computer Interaction, which emphasizes user-centred design, and Software Architecture, where students learn to design scalable and maintainable software systems. The program concludes with a project, enabling students to apply their acquired knowledge in a practical setting. This combination of core and specialised modules ensures that graduates are equipped with both broad and deep expertise in software engineering and data analytics, preparing them for diverse roles in software development, system design, project management, or data-driven technology fields.