Программа обучения Applied Data Science

Программа обучения "Applied Data Science" в Georg-August-Universität Göttingen

Angewandte Data Science

The field of data science includes aspects of mathematics, computer science and statistics. Data science deals with data analysis and the knowledge gained from data, as well as the techniques required for processing large and partially unstructured data volume. In the Bachelor’s degree programme “Applied Data Science", detailed knowledge of data analysis is taught on the basis of computer science and mathematics. In an application subject, students are also introduced to the practical application of the data analysis methods they have learned. The data analysis courses include aspects of machine learning, statistics, pattern recognition and the infrastructures required for effective analyses. Students may choose economics, biology, digital humanities, medical computer science or breeding informatics as application subjects.

Общая Информация по Программе обучения "Applied Data Science"

  • Уровень: Бакалавриат
  • Диплом: Bachelor of Science (B.Sc.)
  • Язык обучения: Немецкий
  • Начало обучения: Зимний семестр
  • Срок обучения: 6 семестров
  • Форма обучения: ПолнаяЧастичная
  • Учебные кредиты: 180 ECTS
  • Стоимость: € 0 / Семестр
  • Семестровый взнос: € 375.31 / семестр
  • Правила приема: На основе конкурса
  • Количество мест: 35
  • Минимальный уровень немецкого: C1

Карьерные перспективы по завершению программы обучения "Applied Data Science"

Data scientists are currently sought after in virtually all subject areas, in research as well as in industry and commerce. Potential employers can be found especially in marketing, banks, insurance and reinsurance companies, the IT sector, business consultancies, public research institutes or corporate R&D departments, the pharmaceutical sector (clinical studies), in public health organisations and at universities. Thanks to the close involvement of this degree programme with the areas of application directly at the University, potential employment opportunities exist especially in research departments engaged in data-driven research in the areas mentioned above. In Germany, there is currently a shortage of specialist staff in all of these areas.

Учебный план программы обучения "Applied Data Science"

In the Bachelor’s degree programme, basic knowledge in mathematics, statistics and computer science, including programming, is taught first. On this basis, the students’ knowledge is subsequently expanded with the electives in “Data Science” (e.g. machine learning or infrastructures for big data) and the “application subject”. In additional internships, we expand the knowledge further by practical, in-depth coverage of specific topics.Students have to earn a total of 180 credits within the bachelor program “Applied Data Science”. The program is separated into the areas Subject Studies, Professionalization and the Bachelor Thesis. Detailed information about the structure of the study programme, application fields and modules can be found in the module catalogue ("Modulverzeichnis") following the link "Regulations" on the right-hand side of this page. Example study plans can be found in the "Prüfungs- und Studienordnung"Subject Studies (64 credits)
  • Principles of Computer Science
  • Mathematical Principles of Data Science
  • Principles of Data Science

Professionalization (104 credits)

  • Elective Section “Data Science”, e.g., profound machine learning
  • Elective Section “Application Field”, e.g., economics, or biology
  • Subject and project labs
  • Key skills, e.g. programming, or language courses

Bachelor Thesis (12 credits)

  • Учебный план / модули: https://www.uni-goettingen.de/de/erstsemesterstundenpl%c3%a4ne/593238.html
    https://www.uni-goettingen.de/de/592061.html
    https://www.uni-goettingen.de/de/578888.html
    https://www.uni-goettingen.de/de/version+am+ii+03/10.02.2020/621115.html
  • Факультет

    Faculty of Mathematics and Computer Science
    Georg-August-Universität Göttingen

    The Faculty of Mathematics and Computer Science was founded in October of 2008. It is a fusion of the former Faculty of Mathematics and the Institute of Computer Science.

    The faculty offers an attractive study program: Bachelor studies mathematics and applied computer science, Master studies mathematics, business mathematics and applied computer science, as well as 2-subject-bachelor studies and master of education qualifying for a legal clerkship at a grammar school. The faculty has also been offering the Bachelor's degree in Applied Data Science and Mathematical Data Science since 2018. There are very good doctoral graduation possibilities joining the doctoral programs in mathematics, computer science or environmental informatics of the Georg-August University School of Science (GAUSS). Further informations are included on the homepages for Mathematics and Computer Science.

    Методика оценки заявок

    The points score is calculated by combining the overall score on the certificate of qualification for higher education with the scores for three subjects which are relevant for the desired programme. For every subject, the arithmetic average of the scores during the last four terms is calculated. For details see the sample calculation below.

    Overall score on the certificate of qualification for higher education (80%)
    Subject 1 (10%): Mathematics
    Subject 2 (5%): English/Foreign Language
    Subject 3 (5%): Computer science/Natural science

    Selection procedure results for WS 2019/20 (main procedure)

    • Qualification: all admitted

    Selection procedure results for WS 2018/19 (main procedure)

    • Qualification: all admitted

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