Big Data and Digital Futures - MSc

Core Modules:

• Fundamentals in Quantitative Research Methods
• Advanced Quantitative Research
• Big Data Research: Hype or Revolution?
• Dissertation

Optional Modules:

This programme has optional modules to choose from to allow you to achieve the required credits to successfully complete the award. At a research led institution, optional module lists are subject to change each year to keep the student learning experience current and up-to-date. For the optional modules available in this department please visit the department website.

You'll take three core modules and a dissertation. Optional modules (see below) allow further specialisation. Lab work, report writing, data skills training and guest lectures by industry experts will form an integral part of your learning experience. You will be invited to attend short certified ‘Masterclasses’ to further extend your methodological repertoire. An annual Spring Camp on a key theme (e.g. forecasting; visualisation) is also provided, allowing you to gain expertise in a wide range of cutting-edge quantitative methods.

You don’t need a computer science, mathematics or statistics background to apply. The focus is on conducting and understanding applied quantitative social science, so a willingness to engage with world social science issues is essential.