Big data analytics has emerged as the driving force behind critical business decisions and generally its role is growing within the characterization and understanding of individuals and of firms’ behaviour. Advances in our ability to collect, store, and process different kinds of data from traditionally unconnected and unstructured sources enables us to answer massively complex, data-driven questions in ways that have never been possible before.

The main purpose of this course is to prepare students to make sense of real-world phenomena and everyday activities by synthesizing and mining big data by uncovering relevant patterns, relationships, and trends with the intention of making better informed decisions.

The course will provide the student with knowledge about the central methods related to generating, analysing and processing big data. The students will have the skills to apply these methods to particular, empirical problems. And the course will give the students the competence to predict and evaluate expedient practices in related to a wide range of big data related problems as for instance:

Businesses can predict future sales results by combining their customers’ preference profiles with website click-stream data, social network interactions, and location data.
Police and fire departments collaborate with emergency managers to develop more accurate models of automotive and pedestrian traffic by using GPS data from cars, buses, taxis, and mobile phones.
Emergency room physicians are able to reduce time to initial treatment and, as a result, patient mortality, by fusing aggregate patient histories with the results of up to the minute lab tests.
Web scraping analytic tools applied to for example twitter can be used to measure real-time international conflict sentiment levels and to measure political tendencies and their movements prior to important elections etc.
With the development of electronic health records, remote treatment, and the ability to share data online, we have an array of new healthcare solutions available. The use of mobile technologies to collect and distribute information might help significantly with the prevention and treatment of disease.
ECTS-point10 ECTS