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Master Englisch Sozialwissenschaften

Master of Science in Computational Sciences

Master

Über das Programm

The programme will teach how to apply precise mathematical and computer-based methods and to develop software for solving current scientific problems. The instructors in the programme are from the disciplines of chemistry, physics, geosciences, mathematics, and computer science. The four-semester Master's programme combines theoretical and application-oriented contents. It is divided into the following four components: Synchronisation: learning fundamental methods of computational sciences and establishing an interdisciplinary profile from courses that have not been addressed in the students' Bachelor's degree programmes Scientific computing: setting a priority in numerics, statistics, or computer science Specialisation: focus on one of the three scientific fields: molecular sciences, geosciences, or atmospheric sciences Master's thesis: writing up a research project in the field chosen for specialisation The Master's programme covers fundamental and advanced terminology, structures, methods, and processes in a wide range of structured and applied areas of scientific knowledge combined with supplementary courses. It ensures that students have the opportunity to specialise in current research. It also promotes the development of independent scientific thinking with a particular focus on the use of computers to expand knowledge. Students gain and deepen their competence in combined mathematical, computer-related and applied scientific expertise. They also systematically develop their interdisciplinary skills and key qualifications. By preparing lectures and reports, students learn to present their expertise and qualifications orally or in writing in a form suitable to their audience. They learn to deal with gender and diversity issues in practicals and practice groups as well as through supervising tutorials. For example, the students learn to take cultural differences into account when working in the participating departments' research groups, which are usually international in composition.
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The programme will teach how to apply precise mathematical and computer-based methods and to develop software for solving current scientific problems. The instructors in the programme are from the disciplines of chemistry, physics, geosciences, mathematics, and computer science. The four-semester Master's programme combines theoretical and application-oriented contents. It is divided into the following four components: Synchronisation: learning fundamental methods of computational sciences and establishing an interdisciplinary profile from courses that have not been addressed in the students' Bachelor's degree programmes Scientific computing: setting a priority in numerics, statistics, or computer science Specialisation: focus on one of the three scientific fields: molecular sciences, geosciences, or atmospheric sciences Master's thesis: writing up a research project in the field chosen for specialisation The Master's programme covers fundamental and advanced terminology, structures, methods, and processes in a wide range of structured and applied areas of scientific knowledge combined with supplementary courses. It ensures that students have the opportunity to specialise in current research. It also promotes the development of independent scientific thinking with a particular focus on the use of computers to expand knowledge. Students gain and deepen their competence in combined mathematical, computer-related and applied scientific expertise. They also systematically develop their interdisciplinary skills and key qualifications. By preparing lectures and reports, students learn to present their expertise and qualifications orally or in writing in a form suitable to their audience. They learn to deal with gender and diversity issues in practicals and practice groups as well as through supervising tutorials. For example, the students learn to take cultural differences into account when working in the participating departments' research groups, which are usually international in composition.

Welche Berufe eröffnet dieses Programm?

Verwandte Berufssuchen aus Daten der Bundesagentur für Arbeit (BERUFENET):

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Kurze Antworten zu Master of Science in Computational Sciences an der Freie Universität Berlin, E-Medien

Wird Master of Science in Computational Sciences an der Freie Universität Berlin, E-Medien auf Deutsch oder Englisch unterrichtet?

Dieser Master Studiengang wird in Englisch unterrichtet. Stelle sicher, dass du die Sprachanforderungen (z.B. TestDaF, DSH, IELTS oder TOEFL) vor der Bewerbung überprüfst.

Wie viel kostet der Studiengang Master of Science in Computational Sciences?

Keine Studiengebühren (nur Semesterbeitrag). Internationale Studierende sollten zusätzlich etwa 800–1000 EUR/Monat für Lebenshaltungskosten in Deutschland einplanen.

Was sind die Zulassungsvoraussetzungen für Master of Science in Computational Sciences an der Freie Universität Berlin, E-Medien?

Typische Anforderungen sind: ein anerkannter Sekundar-/Bachelorabschluss, Nachweis der Sprachkenntnisse (Englisch) und (für Nicht-EU-Bewerber) eine uni-assist Bewerbung plus Finanzierungsnachweis (Sperrkonto ~11.904 EUR/Jahr).

Wann ist die Bewerbungsfrist?

Die Bewerbungsfristen variieren: Das Wintersemester endet in der Regel am 15. Juli, das Sommersemester am 15. Januar. Bestätige die genaue Frist immer auf der offiziellen Universitätswebsite.

Kann ich während des Studiums von Master of Science in Computational Sciences in Deutschland arbeiten?

Ja. Internationale Studierende dürfen ohne zusätzliche Genehmigung bis zu 140 volle Tage / 280 halbe Tage pro Jahr arbeiten. Nach dem Abschluss kannst du eine 18-monatige Arbeitserlaubnis zur Jobsuche beantragen.

Wie bewerbe ich mich an der Freie Universität Berlin, E-Medien — direkt oder über uni-assist?

Die meisten deutschen Universitäten akzeptieren internationale Bewerbungen zur Dokumentenprüfung über uni-assist. Einige Universitäten akzeptieren Direktbewerbungen — überprüfe die Programmseite auf der offiziellen Website.

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