MSc in IT for Business Data Analytics

On successful completion of the programme, students are expected to gain knowledge and understanding of the tools used to transform large amounts of raw data into relevant and helpful business information; the methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset; the techniques and existing systems used for structuring data elements and showing relationships between them, as well as methods for interpreting the data structures and relationships; the process of revealing data issues using quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria; the techniques and methods used for eliciting and extracting information from unstructured or semi-structured digital documents and sources; standardized computer languages for retrieval of information from a database and of documents containing the needed information; the visual representation and interaction techniques, such as histograms, scatter plots, surface plots, tree maps and parallel coordinate plots, that can be used to present abstract numerical and non-numerical data, in order to reinforce the human understanding of this information; core business principles, enabling graduates to effectively align data analytics strategies with organizational goals.