Study location	Germany, Essen
Type	Master, part-time
Nominal duration	4 semesters (120 ECTS)
Study language	combined English/German

Tuition fee	€16,030 per programme

Entry qualification

Undergraduate diploma (or higher) University degree¹ with a share of at least 60 credit points² in (business) informatics modules and/or in related areas (e.g. mathematics, statistics, natural sciences) or regardless of the subject and relevant professional experience of at least six months and successfully completed the oral admissions test and current occupation³ 1) Graduated with a master’s or bachelor’s degree or with a diploma or state examination. Degrees from accredited bachelor’s courses at vocational academies are equivalent to university bachelor’s degrees. 2) The FOM awards credit points according to the standard of the European Credit Transfer and Accumulation System (ECTS). They measure the workload for the study. 3) This can be deviated from in exceptional cases. The entry qualification documents are accepted in the following languages: English / German. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents along with you when you finally go to the university.

Language requirements	English

Other requirements	At least 2 reference(s) should be provided.

More information	apply.baltic-center.eu/admin

Overview

Capturing, analyzing and using big data sensibly

The increasing volume and variety of data available to companies today harbors huge opportunities. At the same time, however, it also presents them with the challenge of dealing with this growing capital in a target-oriented and innovative manner and of using the data for their own competitive advantage. The need for big data analysts in all areas of the economy is correspondingly high.

The Big Data & Business Analytics master’s program is aimed at (business) computer scientists and natural scientists such as mathematicians and statisticians, and builds on the knowledge and skills from the first degree. Graduates from other disciplines who have acquired the relevant technical know-how and skills through their professional experience are also addressed. Big data specialists span the arc from logic and quantitative methods through programming languages, frameworks and infrastructures to the interpretation and implementation of the results in company processes.

During your studies you will learn to analyze, interpret and evaluate large and heterogeneous amounts of data and to apply them in a business context. You will gain analytical skills in order to derive models for different tasks from amounts of data, which you can use in the context of management and business administration for predictions or optimization, for example in marketing, sales and business development. For example, it can be about the right time to launch a product or the development of a new business model, about improving the use of materials, resource planning or the development and further development of Big Data solutions. Communication skills to explain analysis results in an understandable way and to visualize data,

As a big data and business analyst, you specialize in technical and management tasks at the interface between IT and management. These could be positions as a big data manager or big data analyst, as a product manager for data integration, in marketing as a market data analyst or as a data scientist in research and development.