Applied Data Science (M.Sc.)

Data scientists know how to extract knowledge from data. They combine skills in Mathematics, Computer Science, Statistics and specific knowledge in an application domain. In Göttingen, we place special emphasis on the interdisciplinary nature of Data Science. We want to equip you with both in-depth knowledge of the key mathematical, statistical and computer science methods for Data Science as well as to make sure you understand how to apply these methods in an application domain. You can choose between Computational Neuroscience, Bioinformatics, Medical Data Science and Digital Humanities, and we are working on expanding this list.

Our master’s programme is research oriented and should enable you to carry out scientific research projects autonomously. Moreover, we want to teach you how to communicate your insights and reflect on the ethical impacts of collecting and analysing large amounts of data as well as the consequences of automated data driven decision making. Beyond research, we also provide the opportunity for internships and interactions with industry partners.

In Göttingen, we place special emphasis on the interdisciplinary nature of Data Science and want to equip you with the knowledge and skills to use Data Science methods in an application domain. Currently, the following application domains can be chosen:

• Computational Neuroscience in cooperation with the Faculty of Physics and the Faculty of Biology and Psychology
• Bioinformatics in cooperation with the Faculty of Biology and Psychology
• Medical Data Science in cooperation with the University Medical Centre Göttingen
• Digital Humanities in cooperation with the Institute for Digital Humanities

Data Scientists are currently in high demand in almost all disciplines, both in research and industry. Possible employers can be found throughout all sectors, including the manufacturing industry, banks, insurance companies, the IT sector, consulting, public or industrial research institutes, the public health sector as well as colleges and universities. Excellent graduation also qualifies for PhD programmes.