Applied Data Science
University of Göttingen
Program Overview
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 in-depth knowledge of the key mathematical, statistical and computer science methods for data science, and we also want to make sure that you understand how to apply these methods in an application domain. You can choose from Computational Neuroscience, Bioinformatics, Medical Data Science, Digital Humanities, Computational Sustainability, and Digital Business Administration. We are currently working on expanding this list and plan to add an application domain in Physics. Our Master’s programme is research-oriented, and it 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.
EURFinancials
Financials
INFOIntakes and Duration
Intakes and Duration
Intake Season
Winter (October); Summer (April)
Duration
4 semesters
COCareer Outcomes
Career Outcomes
You can always explore various career paths after completing this program. The listed options are some of the most popular among graduates.
EURSalary Outlook
Salary Outlook
Typical range
€60,000 – €105,000 per year
Fresher, mid-level, and experienced ranges are linked to external sources so they stay auditable for applicants.
LANGLanguage & Exams
Language & Exams
Teaching Language
English
English language proficiency at level C1 (CEFR) has to be proven. Alternatively , a proof of English language proficiency at level B2 (CEFR) is accepted in combination with a proof of German language proficiency equivalent to DSH level 2. The language proficiency has to be verified by a minimum passing grade on an internationally recognised test or by equivalent proof. The test result may not be older than two years at the time of submission of the application to the Master's degree programme (date received). For details on possible verifications, see: https://www.uni-goettingen.de/en/630842.html
REQRequirements
Requirements
Academic Admission
A Bachelor’s degree with at least 180 ECTS is needed. 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 the area of data science, computer science, statistics, mathematics or a related field. This requirement should normally be fulfilled by a Bachelor’s degree in data science, computer science, statistics, mathematics or a closely related degree programme. Graduates from other fields can be eligible as well. 15 ECTS of the above requirements can be completed after admission, i.e. the minimum requirement for application is 45 ECTS. All international applicants are required to take an online aptitude test, which examines basic knowledge in mathematics, statistics and computer science. A few days after the application deadline, the test and personal login credentials will be sent to all applicants via e-mail. Furthermore, all applicants who are on the shortlist for the programme will be invited to a personal interview, conducted as a video call.
APS Certificate
An APS certificate is required for applicants who have completed their qualifying education in India, China, or Vietnam.
IELTS Score
Not specified
Application Deadline
Application deadlines are subject to changes. Please refer to the above university course link for the most accurate information.
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