Course summary

This degree provides a firm footing in data handling, analysis and communication of findings and modern research-driven machine learning techniques. This degree bridges the gap between the technical analysis of data, and the wider world. Data is a wonderful thing, but unfortunately nothing can change unless the insights cannot be conveyed to the wider world. The course focuses on how to best craft and present the arguments, explanations, and insight found in data to those that need to act. Visualisation explores the tools to unlock the data we so readily generate. Today’s world runs on algorithms and data, interpreting that data is at the heart of this degree programme. The use of data is becoming known as the Industrial Revolution 4.0, and industries are rushing to realise the potential that Data Science and Visualisation can offer.  We’ve designed this course to provide the mathematical, technical and theoretical knowledge and skills to enable you to work on the cutting edge technology needed for this new data frontier, with a focus on communication this to others.  This degree is focused on the visual presentation and interpretation alongside the methods that can be used to unlock the deeper meaning in data.  Graduates are ideally suited to take up careers in data and financial analysis, business intelligence, data support or closely related positions. This degree provides an inventive combination of computer science fundamentals, programming, data analysis, critical reasoning and visualisation. The programme produces graduates that are proficient in using data to derive insight using up-to-the-minute methods and approaches.  In addition, the programme places a premium on responsible use of data. It champions the professional values needed when using the immense power of modern analytics, and an appreciation of relevant ethical, legal and social issues is embedded throughout. You will also be equipped with the transferable skills needed for any knowledge economy position; teamwork, communication, self-management, independence and discipline. ‘Placement Year’ and 'International Experience Year’ options are available for this course. You will have the opportunity to fully consider these options when you have started your course at Bangor and can make an application for a transfer onto such a pathway at the appropriate time. You can find more information about these options on our website and if you have any questions, please get in touch. If you don’t have the required qualifications for this degree-level course or are looking to re-enter education after time away from study, then a Foundation Year Programme might be the right choice for you. Please see Computer Science (with Foundation Year) G40F.