This specialisation belongs to the master's Business Information Technology.
This specialisation focuses on data science for the analysis and possible reconfiguration of organisations and their IT infrastructure, and for supporting decision making. It addresses the complexity of manipulating, analysing and using ‘big data’.
Nowadays increasingly more data is generated on the way people use a variety of smart devices and sensors that are involved in the execution of business processes, and on the interactions between enterprises within complex supply chains. This vast amount of data (often dubbed ‘big data’) can be analysed using process-mining and data-mining techniques that enable business analysts to understand how a business is performing and to identify new opportunities. You will get a grip on advanced techniques for handling the collection and management of exceptionally large datasets, techniques for analysing big datasets, and on simulation techniques that allow the exploration of new business scenarios before new systems are actually built.
This specialisation features selected courses on the methods and techniques necessary to prepare you to perform business analysis using explorative and computational approaches appropriate to large amounts of data. It includes courses on data warehousing and XML databases, management of big data, data analysis and simulation techniques, machine learning, which cover the techniques and theories necessary to master and profit from big data.
- Exploiting big data to improve the business
- Develop business strategies based on business analytics
If you want to be an expert in big data, one who is able to select and analyse vast amounts of data and employ this analysis in the service of businesses, then the Data Science and Business specialisation is the right choice for you.
As a graduate of the Data Science and Business specialisation, you can look forward to an exciting career as a business analyst, business strategist, strategy consultant or as a researcher/developer of analysis techniques