From natural science, through the business, finance and retail sectors to social networking and mobile devices, computer-based systems now generate huge volumes of data almost continuously. The rapid emergence of ‘Big Data’ brings challenges: there is now an urgent need for graduates skilled in the sophisticated mathematical and computational techniques required for large-scale data analysis.

This bespoke course has been developed in conjunction with specialists in Data Science and sits at the interface of mathematics, statistics and computer science.

You'll develop key computer science skills, becoming proficient in several programming languages as well as database design. You will also learn extensive mathematical and statistical theory and techniques, applying this knowledge to a range of problems linked to processing data.

You’ll benefit from excellent teaching. We are in the top 10 in the UK for teaching quality in mathematics (The Times and Sunday Times Good University Guide 2021).

This course prepares you for a wide range of career opportunities both inside and outside mathematics. It’ll help you to develop numerical, analytical and computational skills which are greatly respected by employers. You’ll also gain essential, transferable skills including report communication, team working and problem solving. Our graduates have gone on to work for companies and in roles such as:

• Nomura – international technology analyst
• Bradford and Bingley – portfolio officer
• Shell International Trading and Shipping – finance administrator
• Brackman Chopra LLP – trainee accountant
• Caisson Investment Management – investment analyst
• Chase Evans – accounts payable officer
• Drop Test Kits – product technician
• FDM – trainee software test analyst
• Interoute – graduate accounts assistant (Commissions)
• Oegen – junior programmer / project manager.

They have also started careers in:

• industrial and commercial mathematics
• statistical applications systems modelling
• software engineering
• telecommunications
• IT applications
• teaching and research.