Spatio-temporal Analytics and Big Data Mining MSc

A minimum of an upper second-class UK Bachelor's degree in a relevant discipline (such as engineering, mathematics, computer science, environmental science, human or physical geography, geology, forestry, oceanography, or physics) or an overseas qualification of an equivalent standard. Applicants with relevant professional experience are also considered.

The English language level for this programme is: Level 1.

Further information can be found on our English language requirements page.

Pre-Master's and Pre-sessional English

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Unveil the potential of 'big' data with our Spatio-Temporal Analytics and Big Data Mining MSc programme. Embrace the age of smart sensors, smartphones, and social media as you master GIScience, databases, spatial analysis, data mining, and analytics. Students are equipped with the prowess to dissect, represent, and model vast spatio-temporal datasets, making impactful strides in diverse industries. Become a data-driven professional adept at navigating the dynamic landscape of information.