Master of Science

Master's in Mathematics (MSc)

Karlsruhe Institute of Technology

Karlsruhe, GermanyMathematics & Statistics

APS Requiredfull-time

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Degree

Master of Science

Language

English

Tuition

€1,500/sem

Duration

4 semesters

Programme Overview

The Master's programme in Mathematics at KIT is research-oriented and has a strong focus on in-depth studies in a wide range of pure and applied mathematics subjects. Faculty members are internationally recognised experts in Algebra and Geometry, Analysis and Differential Equations, Numerical Analysis and Partial Differential Equations, Scientific Computing, Inverse Problems, Computational and Data Sciences, Computational Statistics, Stochastics, and Stochastic Processes in Finance, Actuarial Science and Engineering. Students benefit from a flexible course composition in both pure and applied mathematics. Research and student seminars expose students to a wide range of topics and train them to critically read recent publications and present the material to the public.

Admission Requirements

Minimum GPA: No fixed minimum GPA is published on the current official programme page.
English requirements: Applicants must prove their proficiency in English, at least at level B2 of the Common European Framework of Reference (CEFR). Proof is possible by internet-based TOEFL with a minimum score of 90, or IELTS academic with at least 6.5 and no section below 5.5.
Accepted bachelor fields: Bachelor's degree in Mathematics corresponding to at least three years of study (or a minimum of 180 ECTS points) at a university, or a qualification equivalent to it (e.g. a Bachelor's degree in Physics or Computer Science with large mathematical content)
APS Certificate: Yes
Thesis required: Yes

Costs & Funding

Tuition fee: 1,500 EUR
Semester contribution: 180 EUR
ECTS credits: 120
Funding info: Tuition: 1,500 EUR Semester contribution: 180 EUR

Career Outcomes

Graduates have excellent career prospects in academia, research institutes, financial services, data analysis, and technology companies, leveraging their advanced mathematical skills.

Typical job roles

MathematicianData ScientistQuantitative AnalystActuaryResearch Scientist

Target industries

Financial servicesBankingInvestment managementTechnologySoftware developmentDigital services