Graduates of the programme are expected to have a comprehensive and critical understanding of all concepts and activities for large-scale data analytics and to demonstrate expertise in Big Data Analytics and research applications, projects, and Machine Learning Techniques for extracting big insights and unique knowledge from Big Data stores. The programme aims to develop a critical understanding of complex computing application areas. Graduates are expected to be able to apply their skills in advanced topics, such as cloud computing and security aspects.

Further your computer science career with a specialist postgraduate degree in big data analytics. This online master’s programme has been designed to equip students with expertise in an area of computing that has seen recent and rapid growth, and in which there is expected to be a significant skills shortage.

Recent advances in technology, along with decreasing hardware costs, led to the development and creation of smart devices and applications that pervade most aspects of daily life. The adoption and use of such technologies and applications in an ever-expanding variety of domains, including social media, entertainment, telecommunications, e-commerce, medical records and e-health, resulted in a rapid explosion in the amount and variety of generated data and to the need to store and analyse this data. The term "big data" refers to the ability to exploit these massive amounts of extremely heterogeneous structure and content data that are routinely generated at an unprecedented scale from an ever-expanding variety of data sources. Business and industry use their big data to extract a better understanding of their customers’ needs and behaviour, develop targeted new products and cut operational costs. The competitive advantages and productivity gains that big data brought led to a great number of big data projects and a shortage of people with the required skills. This course is aimed at people who want to move into this rapidly expanding and exciting area; it has a strong vocational flavour as it has been designed to build your knowledge and understanding of big data systems architectures and to equip you with a range of highly marketable, hands-on skills employed by the core technologies utilised in big data projects.

The past decade has seen enormous advances in molecular and biomedical technology resulting in an ‘omics’ revolution. Bioinformatics covers the application of mathematics, statistics and computing to biological and clinical scenarios. Algorithms and software tools are used to understand and interpret patient-derived ‘Big Data’.

The MSc Management (Digitalisation and Big Data) Our intensive, one-year MSc Management with a specialism in Digitalisation and Big Data is for graduates from a wide range of subject backgrounds. It is not necessary to have any prior academic or practical experience in business or management. This programme is for students who aspire to management-level and leadership digital roles in within their chosen industry.

The MSc Finance and Big Data Analytics course at Swansea University is designed to pair the key areas of finance and business analytics. This programme takes a data driven approach to analysis of financial markets and organisational information. The degree covers the key principles of finance, financial modelling and financial markets to prepare you for a dynamic career in finance, banking and a range of other sectors.

Build your knowledge, skills and experience of data analytics for a successful business career in roles requiring data driven decision-making and analytical acumen.

MSc Big Data and Business Intelligence innovative master's course provides you with the skills to contribute to the design and development of big data systems as well as distributed / internet-enabled decision support application software systems. We focus on modern engineering methods, tools, and techniques, including data analytics, machine learning, business intelligence, and data mining.

Big Data skills are in high demand. Gain skills in big data technology, advanced analytics and industrial and scientific applications.

Broaden your expertise through the use of Artificial Intelligence (AI) techniques. Gain transferable skills in AI, and boost your employability with an optional 12-week placement. Study at ARU in Cambridge and build on your existing skills. Our course is suitable for computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis. Before starting the course, we strongly recommended that you have basic programming knowledge of Python.

The MSc in Data Science for Politics & Policymaking is designed to meet the growing demand for graduates with the ability to use big data to solve complex political and social problems. It's perfectly suited to those looking for careers in political campaigns, think tanks, interest groups associated with shaping public policy and the civil service.

Our MSc Big Data course addresses the growing importance of big data in business and society at large. Our modules will prepare you to make notable contributions in modern-day organizations with Big Data technologies.

MSc Big Data Technologies for developers, data architects, data administrators and big data technologists. Learn data architecture, cloud computing, web technologies, SAS and IBM Watson Analytics, big data computing and the Internet of Things.