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  1. Every degree program is described with all the relevant information such as final qualification, special areas, ECTS credits, study program structures, special knowledge, continuing possibilities, teaching language, start of study and individual admission requirements.

  2. Sie finden an dieser Stelle das Studienangebot. Jeder Studiengang wird mit allen relevanten Informationen wie Studienabschluss, Schwerpunkte, ECTS-Punkte, Studienstrukturen, besondere Kenntnisse, weiterführende Möglichkeiten, Unterrichtssprache, Studienbeginn und individuelle Studienvoraussetzungen beschrieben.

  3. There are various conditions depending on the program you are taking part in (BeNeFri, mobility and exchange programs, swissuniversities agreements etc.) Language of instruction. At master's level, the teaching language is German, English or one or more other languages. For some degree programs, you require a very good command of the English ...

  4. The MA in English offers a wide variety of topics, theoretical approaches and historical perspectives to explore. The MA programs convey profound historical and systematic knowledge of the varieties of the English language as well as English-speaking literatures and cultures.

    • several
    • English
    • 4 semesters
    • 120 ECTS credits
  5. Master's in Business Administration. The Master’s program conveys in-depth knowledge of Business Administration and encourages academic engagement with business-related issues. The program builds on previous knowledge obtained in a Bachelor’s program.

  6. Master's in Economics. This Master program at the University of Bern expands the knowledge students have attained at the Bachelor level and addresses selected topics in various areas. The Master program is more specialized than the Bachelor program, while also offering a relatively broad-based education.

  7. In the Master's degree program in Statistics and Data Science students are introduced to important models and methods from Probability Theory, Statistics, Financial Mathematics, Actuarial Science, and study aspects of Computer Science that are relevant for Data Science.