The rate at which we are able to create data is rapidly accelerating. This ranges from biomedical data to social media activity and climate monitoring to retail transactions. These enormous quantities of data hold the keys to success across many domains from business and marketing to treating cancer or mitigating climate change.

“According to IBM, globally, we currently produce over 2.5 Quintilian bytes of data a day.”
The pace at which we produce data is rapidly outstripping our ability to analyse and use it. Science and industry are crying out for a new generation of data scientists who combine the statistical skills of data analysis and the computational skills needed to Carry out this analysis on a vast scale.

Aims and outcomes:

The Data Science Masters degree will provide the students with an in-depth understanding of the theory and practice of Data Science and its application in different organisational contexts. The students will also gain practical skills in handling structured and unstructured data, analyzing and visualizing data, data mining, as well as gaining hands-on experience of software tools used and their use in real-world settings.

Students will gain the skills of a “data manager” who understands what the algorithms (e.g., for data mining or handling ‘Big Data’) can do and when to use them for the benefit of the organization.