Course summary
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.
Entry requirements
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.English level: Level 1
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
UCL (University College London)
Gower Street
London
WC1E 6BT