Object Oriented Programming with Data Structures and Algorithms – 40 credits
Object Oriented Programming with Data Structures and Algorithms provides students with opportunity to obtain advanced knowledge and practical skills in the analysis, synthesis, design and implementation of advanced algorithms and data structures. Students will gain skills in Implementation and performance analysis of advanced data structures such as: Queues, B-trees, Oct-tree, Quad-trees, AVL, binary space partitioning grids or multi-resolution maps.

Data Mining – 20 credits
Data Mining provides students with opportunity to appreciate the value of data mining in solving real-world problems by conveying foundational concepts of data mining, big data, and data analytics. Students will gain knowledge of key concepts, algorithms, and techniques commonly used in data mining and big data tools for collection and analysis of data sets.

Distributed Computing – 20 credits
Distributed Computing provides students with opportunity to gain a detailed understanding of the underlying principles associated with distributed computer systems, both from an academic and commercial perspective. Students will work on Developing simulations to demonstrate understanding of distributed system environments and well as cover issues surrounding distributed privacy and security.

Project Management and Research Methodology – 20 credits
Project Management and Research Methodology provides students with the opportunity to plan a project using appropriate methods, techniques and tools, taking into account relevant risks and ethical issues, and undertake a literature review and other development activities to improve their understanding of the situation and/or produce organisational change.

Mobile Application Development – 20 credits
Mobile Application Development provides students with opportunity to demonstrate the application of the theoretical and practical knowledge of the technologies associated with building robust distributed network-based mobile applications. Students will get to further develop skills in designing, implementing, testing and critically evaluating mobile technologies and robust distributed network-based mobile applications

MSc Project – 60 credits
The highlight of the course for many students is the individual project, undertaken under the supervision of one of the lecturing team, where they get to apply what they have learned to a scenario that is complex and demanding.

This postgraduate computing course is delivered in four major blocks to offer an intensive but focused learning pattern. Full-time students will typically spend 12 hours in classes and 24 hours outside of classes each week.

If you choose to study part-time, this is reduced to around six hours each week. You will study through lectures, tutorials, practical sessions, seminars and projects.

You will need to spend a significant amount of time working independently, reading and preparing for assessments. Assessment is primarily by coursework, varying from a research-style paper or essay to practical assignments.

You will also work on a significant research project of your own choice, where strong independent thinking, critical analysis and project management skills will be important.

Assessment is primarily by coursework (94%), varying from a research-style paper or essay to practical assignments.

You will also work on a significant research project of your own choice, where strong independent thinking, critical analysis and project management skills will be important.