MSc in Big Data

  • Overview
  • Structure
  • Timetables
  • Entry Requirements
  • Fees
  • How to Apply
  • Progression

A Data Scientist is a highly skilled professional, who is able to combine state of the art computer science techniques for processing massive amounts of data with modern methods of statistical analysis to extract understanding from massive amounts of data and create new services that are based on mining the knowledge behind the data. The job market is currently in shortage of trained professionals with that set of skills, and the demand is expected to increase significantly over the following years.


Increasingly, governments, business, industry and third sector organizations rely on employees with an understanding what big data are, how they can be used, and what their strengths and weaknesses might be. In turn, this degree responds directly to the growing demand by employers for a new generation of postgraduates who can critically engage with big data both theoretically, methodologically and practically.

 

This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (e.g. machine learning) and technological tools (e.g. cloud platforms, Hadoop) for large-scale data analysis.

The Big Data science movement is transforming how Internet companies and researchers over the world address traditional problems. Big Data refers to the ability of exploiting the massive amounts of unstructured data that is generated continuously by companies, users, devices, and extract key understanding from it.



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