Awarded by the University of London, UK and Developed by the Member Institution, Goldsmiths, University of London, UK
The programme is a study of a combination of long-established fields such as statistics, data mining, machine learning and databases, with modern and strongly related fields such as Big Data management and analytics, sentiment analysis and social web mining.
You will learn the computational techniques needed to efficiently analyse very large data sets under the guidance of experts in that domain. You will analyse trends in social media and make financial predictions based on the data gathered.
The programme includes:
- A firm grounding in the theory of data mining, statistics and machine learning
- Hands-on practical real-world applications such as social media, biomedical data and financial data with Hadoop (used by Yahoo!, Facebook, Google, Twitter, LinkedIn, IBM, Amazon, and many others), R and other specialised software
- The opportunity to work with real-world software such as Apache on platforms such as Jupyter Notebook.
- Candidates entering this programme via Entry Route 2, are required to complete an online preparatory course. For details, go to the Admission Criteria section.