MSc Computer Science with Data Analytics

This module introduces the fundamentals of computing that will form the basis of further study in this area. The module will introduce the student to computing architecture and programming. Students will build a mental model of the functioning of a typical computer system that can be used to reason about system (hardware/software) behaviour. Students will explore fundamental programming constructs, using the Python scripting language. Students will use a problem-based approach to develop skills that are core to learning to programme.

This module introduces the standard data structures and algorithms that form the core of algorithmic thought in computer science and introduces you to the idea of reasoning about the behaviour and performance of a computer programme. 

This module introduces you to dynamic web applications, through client-side and server-side web development. The module also will enable you to develop the necessary skills to develop complex database-driven web applications, effectively employing server-side technology.

This module introduces database concepts and designs using relational databases and NoSQL design techniques. The course includes fundamentals of relational and NoSQL databases to understand the advantages and limitations as a database administrator or database application developer. You will be able to apply this knowledge to design, deploy and maintain databases for advanced and complex systems. 

This module introduces the operation of various networking models through studying networking components, protocols and applications. The content includes networking fundamentals, network layers and modes with associated protocols and applications. You will be able to apply this knowledge to build and maintain advanced and complex networks.

Generating useable data for decision making is a task that needs an awareness of many factors. To be able to do this you need to firstly understand the question being asked and then the data that you possess. Do you have all the data you need? If not, how will you find it? How will you clean it? How will you process it and present it in a way that is beneficial to the decision maker? All these technical questions will be answered in this module.

This module will enable you to critically appraise next-generation technologies and their impact on society. The module will provide you with an awareness of IoT devices and interconnectivity, 5G and Beyond technologies, decentralised systems such as drones and robotics. Also, to provide awareness about Virtual Reality (VR), Augmented Reality (VR) and Mixed Reality (XR). Technology awareness will be supplemented with data-driven and smart applications of these technologies and consider the role of AI in application deployment.

This module will introduce you to generic concepts of Human Factors in particular interaction between a user and computer systems and/or service, and how the interaction can be evaluated. You will learn about interface design and the data gathering process, as well as exploring aspects of user experience, usability and accessibility.

This module is designed to introduce you to research methods and statistical analysis. Theoretical approaches to research and statistical concepts are taught in online lectures with virtual lab sessions using both quantitative and qualitative techniques that allow you to put theory into practice.  

This module is designed to enable you to develop a research proposal in an area that aligns with your chosen degree title. The module will provide guidance on the essential steps in research proposal development including literature searching, research question setting, identifying objectives and proposing a research methodology. Proposal development will also consider project planning, risks and mitigation, and legal and ethical issues. You will be provided with a set of project topics that align with your degree title, and you must choose a project topic from the relevant list.

Through an independent research project, you will select, plan, conduct and write up a research-based investigation. The project will include the selection of appropriate research and experimental methods, the collection and analysis of data and information and the evaluation and communication of findings and require the synthesis of a solution appropriate to the project aims. You will produce an artefact to complement the write-up of your investigation.