Data Science

The programme covers machine learning, big data analytics, data visualisation, and data management, ensuring graduates are well-prepared for careers in data science. We welcome graduates from a wide range of academic backgrounds who are looking to take advantage of the growing demand for data scientists across almost every industry sector today including finance, health, government, retail and manufacturing. Recent advances in data science, such as big data, predictive analytics, and AI technologies including ChatGPT and Bard AI are revolutionising the way organisations automate their processes, predict future trends, and engage with customers. However, as the volume, diversity and complexity of data being gathered continue to increase, the key challenge facing organisations today is how to make sense of data, and more importantly, how to use data to inform business decisions. To solve this problem, companies need data scientists who are not only highly skilled in a wide range of statistical and data analysis tools but who can go beyond statistics to gain real insights from data. The MSc Data Science programme is specifically designed to address this challenge. We go beyond classical statistics and data analysis to teach you how to apply logical thinking, machine learning and computer algorithms to come up with solutions to problems faced across many academic disciplines and industry sectors. The multidisciplinary and multisector focus of the MSc Data Science also means we welcome applications from a wide range of academic or professional backgrounds, including science, technology, engineering and medicine as well as the humanities, business and social sciences. This programme has been designed in collaboration with industry partners, including Wolfram Research, to ensure that the algorithms, tools and workflows required by the industry are covered. You will gain proficiency in the use of Wolfram Mathematica and learn the programming fundamentals that underpin languages such as Python and R. By the end of this programme, you will have developed the mathematical, computational and communication skills needed to produce meaningful insights that organisations can use to improve their performance.

Students should have 2:2 (lower second class) Honours degree or equivalent in any subject will be considered.