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Data Analysis and Data Management - Bachelor of Science

Overview

New research in science, economy, law and technology leads to large and complicated data sets. To interpret these data appropriately (e.g. in the context of patient or clientele data, stocks and shares, as well as weather and climate change) a knowledge of statistics, information technology and mathematics is required.

The necessary skills of data analysis are often left out of mathematic, computer science or economic courses, because the focus of these courses are on other more course related topics, or the resources are just not available to offer the teaching. Although many statistic students have the opportunity to apply for data analysis courses during their studies, most lack the experience and knowledge of information technologies.

This experience can be learned in this interdisciplinary data analysis and data management course, which is a joined project, including the faculties of statistics, IT and mathematics under the general management of the statistic department.

 

Course Structure

The course is built upon what is taught in the first year, i.e. the necessary basics of mathematics (Analysis, Vectors and Matrices), probability and statistics. The three year bachelor course goes on in the second and third years to look at data structures and programming, as well as lectures specific to the representation, interpretation and working of data. A strong emphasis is placed on case studies from the beginning in both the elective and required modules on the course, which is developed in the thesis. All courses are taught in German.

The main body of study consists of 18 modules, including 3 months for the thesis, all of which will be examined. More information about the course content and course modules can be found here.

 

Perspectives

The broad content of the bachelor course will allow you to choose the appropriate solutions to the right problems in economy, industry, or any area of applied science. It will also allow you to continue your studies, e.g. master in data science or other related masters and then to PhD. People who studied data analysis and data management have an exquisite knowledge of big data and are therefore strongly sought after in all different fields of work.

 

More Information


Please note that the course and exam information is in some cases temporary and therefore subject to change at any time.