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M.Sc. Mathematics for Technology and Data Science

RPTU Kaiserslautern-Landau Kaiserslautern

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  • No tuition
    Tuition
  • Winter and summer
    Intake
  • English
    Language
  • 4 semesters
    Duration
  • 30 Apr
    Next deadline

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About the programme

Course description will be available soon. Please contact the university for more details.

Fields of study

Mathematics(Mathematics & Statistics)
Data Science(Computer Science & IT)

How to apply

ChannelDirect to university
Modeemail
APSRequired for Application

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

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Requirements

What you need to apply for Mathematics for Technology and Data Science at RPTU Kaiserslautern-Landau

English language

IELTS Overall
6/ 9.0

German language

Maximum German grade(lower is better)
2.5

Academic requirements

Completed Bachelor's degree
Required
Minimum ECTS credits
180

ECTS are study credits. One year of full-time study is about 60 ECTS.

MOI accepted as English proof
Not Accepted
0
View academic requirements details

yes

no information

Tests and documents

Statement of Purpose (SOP)
Required
Curriculum Vitae (CV)
Required
Letters of Recommendation
Required
GRE
Not required
GMAT
Not required
View document requirements details

One Page Motivation Letter


At least two letters of recommendation

APS verification

APS certificate
Required for Application

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

Prerequisites

A bachelor’s degree (B.Sc.) in Mathematics or Physics, or another comparable subject (e.g. Industrial Mathematics or a degree programme with a sufficient number of mathematics lectures), good command of English (see further information)

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:

1. 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.

2. 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.

Documents checklist

What to prepare for your application to Mathematics for Technology and Data Science

Programme-specific documents

Along with the completed application form, the following documents must be submitted:

https://math.rptu.de/fileadmin/fb/gradschool/Applform_01.pdf (opens in a new tab)

Curriculum vitae (description of the educational and perhaps professional history),

Evidence of sufficient knowledge of the English language: TOEFL of 550/213/80 points or IELTS (band 6), German high school diploma or proof that the courses and lectures at the former university were taught in English,

Certified copies of final certificates in German or English (university entrance certificate, Bachelor degree or an equivalent degree certificate)*,

Academic transcript (list of all previous courses attended with exam results),

Brief description of the contents of all mathematical lectures attended at university,

At least two letters of recommendation,

Letter of motivation,

Chinese, Vietnamese and Mongolian students must submit an APS certificate.

  • If you do not receive your certification before the deadline, please contact us.

Please submit your complete application via email ([email protected]) and only in PDF form. The size of the email has to be below 5 MB.

This programme applies directly to the university. Submit your documents through the correct channel before the deadline.

Open application portal (opens in a new tab)

Apostille and notarization

Requirements vary by nationality and issuing country. Many German universities require certified translations and, in some cases, document apostilles. Verify current requirements directly with the admissions office, or use our document services for guided preparation.

Need help preparing your documents?

Our document preparation bundle covers SOP, CV, LOR, and translation coordination, reviewed by our team.

View document bundle

How to apply

Step-by-step guide to applying for Mathematics for Technology and Data Science at RPTU Kaiserslautern-Landau

Application quick facts

Apply via

Direct to university

Mode

email

APS

Required for Application

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

Application fee

60 EUR

Address

StudentServiceCenter Landau

Marie-Curie-Straße 5 a

1st floor

Neues Messegelände

76829 Landau

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Costs

Tuition

FREE

No tuition fees

Semester contribution

381.8 EUR

per semester

Application fee

60 EUR

per application

Estimated year-1 total cost

12,668 EUR

Includes tuition, semester contribution, and estimated living costs.

This programme has restricted admission (NC). Admission is competitive and based on academic performance.

Additional fee information

A non-refundable application fee of 60 € must be paid beforehand. After submitting your application, you will be given a registration number and bank details. Your application can only be processed after the fee has been transferred to our account.

Plan your total budget for Germany

Use the MS in Germany cost calculator to estimate living expenses, insurance, and your full year-one spend.

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Admission outcomes

No admission statistics available yet for this programme

Statistics will appear here as more applicants report their outcomes. Check back later for acceptance rates and grade benchmarks.

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