Data Science (with Specialisation in Statistics) MSc

Our Data Science (with Specialisation in Statistics) MSc gives you the knowledge, experience, and expertise to solve real-world problems and realise data-driven insights for organisations.<br/><br/>**About this course**<br/>Our MSc blends modern statistical methods together with the associated computational skills that are essential for handling large quantities of unstructured data. <br/><br/>Data Science is revolutionising every area of science, engineering and commerce. It offers the potential for huge societal and economic benefits. The Data Science (with Specialisation in Statistics) MSc, was created to address an industry need for statistical analysis alongside data analytics in order to interpret and extract information and value from complex data.<br/><br/>**What youll learn**<br/>Through this course youll receive a comprehensive grounding in theory and application of data science. Youll also develop the multi-disciplinary combination of skills in statistics and computer science. Youll also gain the ability to apply these skills to real problems in a given application area.<br/><br/>Topics covered in the course include:<br/><br/><br/>- data visualization<br/><br/><br/>- cloud computing<br/><br/><br/>- Bayesian statistics<br/><br/><br/>- machine learning.<br/><br/><br/>**Your development**<br/>We have substantial expertise in data science, focusing on a wide range of application areas. This includes:<br/><br/><br/>- healthcare<br/><br/><br/>- transport<br/><br/><br/>- cybersecurity<br/><br/><br/>- smart cities<br/><br/><br/>- manufacturing.<br/><br/><br/>We are home to the UK’s National Innovation Centre for Data (NICD). We are also a partner of the Alan Turing Institute, the national institute for data science and artificial intelligence. All our academic staff involved in teaching data science modules have international reputations for their contributions to the field. Many of them have extensive experience as practitioners in industry as well as work in academia.<br/><br/>You will be encouraged to play a full part in the life of the School of Computing, including:<br/><br/><br/>- taking advantage of dedicated computing and study facilities<br/><br/><br/>- participating in seminars delivered by researchers and distinguished external speakers.<br/><br/><br/>**Project work**<br/>You will undertake individual and group-based projects. You will work in collaboration with regional and national industry and charitable organisations.<br/><br/>Your five-month individual project gives you an opportunity to:<br/><br/>develop and deepen your knowledge and skills<br/>work in a research or development team<br/>You can develop your project:<br/><br/><br/>- at the University under an academic supervisor<br/><br/><br/>- by securing an industrial placement<br/><br/><br/>- working with your current employer<br/><br/><br/>You will have one-to-one supervision from an experienced member of staff, supported with supervision from industry partners as required.<br/><br/>**Delivery**<br/>The School of Computing and School of Mathematics, Statistics and Physics deliver the course. The course starts in mid-September. You will be taught in modern facilities in the newly-opened Urban Sciences Building. The course has three phases.<br/><br/>In phase one you’ll be introduced to core knowledge and skills in statistics and computer science. These modules are taught as an intensive block. Pairs of modules will be taught concurrently over four weeks of lectures and lab classes. Teaching is timetabled to accommodate participants from industry, working alongside full-time employment.<br/><br/>Phase two will present further advanced technical modules. You will be introduced to the aspects that underlie all areas of data science practice including:<br/>- professionalism<br/><br/><br/>- legislation<br/><br/><br/>- ethics.<br/><br/><br/>This phase also includes a group project in collaboration with industry. Youll develop and evaluate a data science solution to a complex, real-world problem.<br/><br/>Phase three is an individual research and development project. Youll receive personal supervision in one of the School’s research labs in collaboration with industry or with your current employer.