Mathematics in Data Scienceinternational course, full time, International degree

Degree
Master of Science
Master
Standard period of study (amount)
4 semesters
Location
Garching
Deadlines
No information

Overview and admission

Study Type

graduate

Admission semester

Summer and Winter Semester

Area of study

Mathematics

Focus

Methods and Algorithms from Statistics, Methods and Algorithms from Machine Learning, Methods and Algorithms of Optimisation, Methods and Algorithms from the Theory of Data Representation, Theory and Applications: Data Engineering, Theory and Applications: Data Analytics, Theory and Applications: Machine Learning und Data Science, Theory and Applications: Data Analysis

Annotation

Application periods: 01.04. - 31.05. for the winter semester 01.09. - 30.11. for the summer semester

Admission modus

Selection procedure / qualifying examination

More information regarding admission requirements

Area of study
  • Partner institution: Kungliga Tekniska högskolan (KTH) in Kingdom of Sweden (International degree: Master)
  • Partner institution: Ecole Polytechnique in French Republic (International degree: Master)
Admission requirements

Passing the aptitude test

Lecture period
  • 01.04.2023 - 30.09.2023
  • 01.10.2023 - 31.03.2024

Tuition fees

Tuition fees

Beginning in the winter semester of 2024/25, TUM introduced tuition fees for international students from outside the EU/EEA. Further information can be found online here: https://www.tum.de/studium/studienfinanzierung/studiengebuehren-fuer-studierende-aus-nicht-eu-laendern Many international students can apply for a waiver or scholarship; information can be found online here:https://www.tum.de/studium/studienfinanzierung/gebuehren/stipendien-und-erlasse

Languages of instruction

Main language

English

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These data have been kindly made available to the DAAD by the German Rectors' Conference.

DAAD - Deutscher Akademischer Austauschdienst - German Academic Exchange Service