Mathematics for Technology and Data Science

Students chose one specialisation from: Complex Data Analysis and AI Modelling for Life Sciences and Biotechnology Simulation and Control of Technological Processes The programme is characterised by a high degree of flexibility, which allows students to choose courses from a wide range of options according to their own interests: 54 to 75 credits from the specialisation 0 to 30 credits supplementary modules 9 to 12 credits elective modules Besides this, students must attend two seminars and write a Master's thesis over six months (30 credits). Students must earn at least 15 credit points from non-mathematics modules and at least 18 credit points from advanced mathematics courses within their specialisation, and a total of at least 36 credit points from mathematics courses.

Course details verified 10 Sep 2026 — intakes, entry requirements and course facts · official source

1. Winter semester

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2. Summer semester

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English

E.G. TOEFL iBT Home Edition (since 2026): 4 Reading: 4 Listening: 4 Speaking: 4 Writing: 4 TOEFL iBT (since 2026): 4 Reading: 4 Listening: 4 Speaking: 4 Writing: 4

Prerequisites

A Bachelor’s degree in natural sciences with a substantial mathematics component covering calculus, linear algebra, functional analysis, vector calculus, differential geometry, differential equations, numerical methods and stochastics. Good programming skills are a must.

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