Program Overview

Applied Data Science (M.Sc.)

Programme Description

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 G—ttingen, 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.

Application Domains

In G—ttingen, 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 G—ttingen
• Digital Humanities in cooperation with the Institute for Digital Humanities

Occupational Fields

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.

Structure

The master's programme Applied Data Science is a graduate programme that requires 120 ECTS to be successfully completed. The programme includes three areas of study:

1. a core curriculum,
2. the professionalisation section, and
3. the master's thesis. With a lot of options to choose from, you get the opportunity to study tailored to your individual and subject-specific inclinations, as well as your professional ambitions.

Core Curriculum (49 ECTS)

• Fundamentals of Data Science
• Statistical methods of Data Science
• Computer Science methods of Data Science

Professionalisation Section (41 ECTS)

• Application domain such as Computational Neuroscience, Bioinformatics, Medical Data Science, and Digital Humanities
• Key competencies: Research lab rotation or industry internship and interdisciplinary skills
• Elective courses Data Science

Master's Thesis (30 ECTS)

Application

Access Requirements

• Academic Qualifications
  • A bachelor's degree with at least 180 ECTS.
  • If the degree has not yet been awarded, a minimum of 135 ECTS is required for application.
  • At least 60 ECTS have to be successfully completed in Data Science, Computer Science, Mathematics, or Statistics.
• Language Proficiency
  • English language proficiency CEFR C1
  • OR English language proficiency CEFR B2 and German language proficiency equivalent to DSH level 2

Application Deadline

• 1 May for applications for the winter semester
• 1 November for applications for the summer semester

Related and Consecutive/Graduate Programmes

Related Programmes

• Applied Computer Science, M.Sc.
• Applied Statistics, M.Sc.

Consecutive/Graduate Programmes

• PhD Programme in Computer Science
• PhD Programme for Environmental Informatics