Data Science, Computing Sciences and Electrical Engineering

Programme Structure

• The analysis of data has a central role in the modern information society. Organisations in both the public and private sector are collecting vast data sets, and an increasing amount of public sector data is made open. 

  Analysis needs activities such as data cleansing and other preprocessing, data integration, modeling and prediction, interactive and iterative visualisation of data, and models for the refinement of hypotheses and models. 

• However, data - assumed to be an important asset for organisations - is useless unless it is analysed. Analysis is required to find regularities, such as trends or groupings, and to relate the data to other data sets within an organisation or in scattered online repositories.

• The presentation of intermediate and final results to decision-makers requires mastery of visualisation and reporting methods. Successful analysts need skills in both computational and statistical topics.