The foundational area covers the main methodological foundations of data science. It consists of a list of selected modules from computer science and mathematics, among them the introductory modules "Introduction to Data Science" and "Mathematics of Data Science". An additional part of the core area is the module "Ethics of Data Science".
As "additional competences", students have the possibilities to choose up to 12 CP in courses from a wide range of areas. This includes nontechnical competences (such as German language classes for foreign students) as well as certain modules from the B.Sc. programs in computer science and mathematics.
The second part of the curriculum is the specialisation area, leading towards the final master's thesis. While the specialisation areas "Computer Science", "Mathematics", and "Computer Science and Mathematics" focus on strong methodological competences, a specialisation in one of the application areas (listed above) enables students to work on applied data science problems in the context of another discipline.
The program builds on bachelors' programs mathematics and computer science. It presupposes a bachelors degree in mathematics, computer science, physics, electrical engineering or a related area.
The required educational background is formulated in the examination regulations which will be published soon here. The examination board determines whether the entry requirements are fulfilled.
Data-Science methods are used in a broad spectrum of applications in science and industry.
Data science gains increasing importance in the industry due to the desire and the need for utilizing the information that becomes available because of the comprehensive networking of terminal equipment (Internet of Things, Industry 4.0), the widespread use of social networks and the availability of immense amounts of measurement, multimedia and simulation data. In addition to the companies from ICT, financial and service sectors, also "classical" industrial companies look for graduates with this qualification profile.
Data Science is also a hot research topic, which gains in importance as a cross-sectional topic almost everywhere including natural sciences, engineering, and medical science.
Regulations that apply for all Bachelor and Master courses of study, as well as detailed information about the necessary documentation of required language skills, can be found in RWTH’s Comprehensive Examination Regulation. Examination regulations are only published in German as they are legally binding.
Subject Specific Exam Regulations regulate academic goals, the course of study layout, and exam procedures. The appendix to the regulations contains the description of the modules, from which the course of study is composed.
The Regulations will be published soon which here.
The Master course of study in Data Science is offered by the Department of Computer Science and the Department of Mathematics in the Faculty of Mathematics, Computer Science and Natural Sciences.
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