After completing your studies, you will typically work in development departments in industry or in research and teaching in application-oriented mathematics or sub-areas of engineering sciences. You will work in a team with engineers and/or natural scientists to solve technical challenges and develop new technologies.

The demand for mathematicians has become so great that they can choose between various job offers to start their careers. The reason is that more and more services are in demand: Management consultants, software houses, research departments of large companies, banks and insurance companies are sweeping the market of workers with the appropriate training.

Admission to the Master’s programme is conditional upon the successful completion of a Bachelor’s degree (B.Sc.) in Mathematics or Physics or another comparable subject or at least equivalent academic achievements and examination results, including a professionally qualifying higher education degree (e.g. Bachelor’s, Diploma). As part of the degree, students must have successfully passed examinations in mathematical modules totalling at least 45 ECTS credits (CP), of which at least 8 CP must be from introductory lectures in each of the following areas: analysis, linear algebra, and two of the four areas advanced analysis (functional analysis, vector analysis, differential geometry), differential equations, numerical methods and stochastics.

Depending on the chosen specialisation, applicants must provide evidence of the following specific entry requirements:
* For admission to the programme with the specialisation ‘Complex Data Analysis and AI’, applicants must have successfully completed the module ‘Regression and Time Series Analysis’ at RPTU or equivalent modules. Alternatively, for this specialisation, successful completion of the modules “Stochastic Methods” and “Differential Equations: Numerics of ODE & Introduction to PDE” must be demonstrated.
* For admission to the programme with the specialisation ‘Modelling for Life Sciences and Biotechnology’ or ‘Simulation and Control of Technological Processes’, applicants must have successfully completed the module ‘Differential Equations: Numerics of ODE & Introduction to PDE’ at RPTU or equivalent modules.

Further specific entry requirements include basic programming skills and a basic knowledge of a technical field relevant to the intended specialisation. If these are not demonstrated by the aforementioned degree, evidence must be provided in an appropriate form.
* Academic requirements: An applicant is deemed academically suitable for the degree programme if the grade for their qualifying degree is no lower than “2.5” (in terms of the local grading system); an applicant with a grade lower than “3.0” is not deemed academically suitable for the degree programme. If the grade is between “2.6” and “3.0”, the admissions committee will decide on academic suitability on the basis of the documents submitted.
* Language requirements: Applicants must demonstrate a good level of the English language (e.g. TOEFL of 550/213/80 points). Prior knowledge in German is not necessarily required, but international students have to pass a German language test within their first academic year. German language courses are offered, starting in August and March. Students who cannot attend these courses must take part in German language courses in their home country.

In order to enable students from other Bachelor's or Diploma degree programmes (in particular students with foreign degrees), candidates might be provided with a conditional admission. This means that the candidates might have to attend additional courses (alongside their usual Master's lectures) and pass the corresponding examinations with a sufficient grade within the first academic year. Only those students who have fulfilled these requirements will be allowed to continue with their Master’s degree.

If you have any questions about the degree programme, please do not hesitate to contact the Graduate School Mathematics as a Key Technology:
Dr. Falk Triebsch, Building 48, Room 552
Phone: +49 (0)631/205-3927
E-Mail: gradschool@mathematik.uni-kl.de
https://math.rptu.de/en/studies/advice-and-information

The courses are usually held in English. Applicants must demonstrate a good level of competence in the English language.

As part of the degree programme, you are required to complete modules in a technical field. To do this, depending on your chosen specialisation, you can take modules from the subjects of Computer Science, Mechanical and Process Engineering, Physics, Electrical and Information Technology, or the Life Sciences (Biology, Chemistry).

The courses offered are designed in such a way that a study period abroad can be integrated smoothly into the degree programme.
Semesters abroad are supported organisationally by the Graduate School Mathematics as a Key Technology:
https://math.rptu.de/en/organisation/graduate-school/