MSc in Business Administration and Data Science

Through a mix of theory and hands-on exercises you will learn to design, develop, implement, test and document technical business data analytics solutions to support organizational processes and/or satisfy business needs by using data analytics oriented programming languages (such as Python, R), Big data platforms (such as Hadoop, Spark) and open source technologies. You will work with visual, text and predictive analytic techniques including latest methodologies from data mining, machine learning and deep learning in order to transform Big data sets into business assets.
You will understand the role of data analytics in the digital economy, and how companies can deal with the challenges and opportunities provided by the increasing availability of data, which is changing the business landscape. This will allow you to understand both the strategic and operational impact digitalization has on business innovation and strategy. In combination with courses on visual analytics this will enable you to communicate across both the technical and the business side of business intelligence in both the development and presentation of solutions using business data analytics.
By working with the theoretical foundation as well as hands-on statistical analysis software packages (such as R. MATLAB, SAS) you will learn how to analyze and select the relevant method and model to perform predictive analysis and forecasting to produce fact based platforms for decision making.
Building on this foundation you will also learn about the international and national regulations and legislations for assessing and designing business data analytics solutions and products in accordance with the applicable legislation to ensure regulatory compliance and reflect on data ethics.