An interdisciplinary degree designed in partnership with industry and combining traditional mathematical techniques with exciting contemporary applications in the field of data science
Allows you to use mathematics to develop a deeper understanding of the processes behind data manipulation
Become expert at handling large and complex datasets and understand the statistical considerations which can affect results, such as bias and uncertainty
Study topics such as machine learning, artificial intelligence, statistical modelling and programming
Research projects in each academic year will allow you to develop project management skills in your area of interest, using real world datasets and guided by an academic supervisor
Opportunity to extend your degree and spend a ‘Year in Industry’ at companies such as Lloyds Banking Group, Coca-Cola, Met Office and PwC
Extra Notes
* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.