Mathematics in Data Science Munich University of Technology
Master of Science
4 semesters
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
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 fee
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