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Application and Admission
M.Sc. Mathematics / M.Sc. Industrial Mathematics and Data Analysis
Application Deadline for Winter 2024: April 30, 2024
All Information at a Glance
Programs
M.Sc. Industrial Mathematics and Data Analysis
Enrollment Capacity
Currently none, but admission criteria must be met
Language Requirements
International B2 Certificate in English
International A1 Certificate in German
Application Deadline
April 30 for Winter Semester, October 15 for Summer Semester
Start of Academic Year
Winter Semester 2023/24: October 16
Summer Semester 2024: April 12
Admissions
- Bachelor (B.Sc.) degree in mathematics or a closely related discipline
- Proof of at least 90 credit points in the field of mathematics acquired in your undergraduate studies, with a summary of your previous course work in this area
- (Only for M.Sc.. Industrial Mathematics & Data Analysis): Proof of at least 24 credit points in exactly one technical application subject (physics, geosciences, electrical engineering, mechanical engineering or computer science)
- English proficiency at or above level B2 CEFR (Common European Framework of Reference for Languages)
- German proficiency at or above level A1 CEFR (Common European Framework of Reference for Languages)
- Letter of motivation explaining why you chose this program and
(only for M.Sc. Mathematics) what your area of specialization will be (Algebra, Analysis, Numerics, Statistics/Stochastics)
(only for M.Sc. Industrial Mathematics & Data Analysis) what your technical application subject will be, with a summary of your previous course work in this area (see list above)
AFTER applying (upon receipt of your online application) your uploaded documents will be used to check whether your higher education institution/university is accredited and whether your degree entitles you to enroll in the desired Master's program.
Please contact master@uni-bremen.de for further questions regarding your degree.
If you would like to inform yourself in advance, you can visit the following website
- Anabin for higher education institutions/universities outside Germany (German only)
Applicants whose native language is not English or whose last study program was not completely taught in English are asked to submit proof of level B2 proficency.
Additionally, a certificate showing German language proficiency at level A1 is required.
Please contact masterprotect me ?!uni-bremenprotect me ?!.de for further questions regarding language certificates.
Contact Us
If you are unsure whether the content of your degree program is sufficiently suitable for one of our Master's programs or should there still be any further questions about the programs, please do not hesitate to contact
Application
Online Application
Applications must be submitted online, prior to the application deadline, and include all documents necessary for fulfilling the admission requirements. Applicants must apply via the central online application portal of the University of Bremen (MOIN).
The online application form will be active 6 weeks before the application deadline. Your application is only valid for the semester you have selected. However, re-application for a later semester is possible.
Applications may be submitted before the previous degree (i.e. usually B.Sc.) has been completed, if at least 135 CP ECTS have been obtained, equivalent to the work load of 4.5 semesters. In those cases, admission can be granted on the condition that the previous degree will be successfully finished by September 30th (for Winter Semester applications) or March 30 (for Spring Semester applications).
The language proficiency requirement must be completed at the latest two weeks after the beginning of the semester. Degree certificates as well as language proficiency certificates must show that the applicant passed the final examination and be submitted no later than December 31 (for Winter Semester applications) or June 30 (for Summer Semester applications).
Application documents
At the time of application, you must provide a current overview of grades and course work (study schedule/ transcript of records) and, if already available, proof of having been awarded your degree. Please upload the following documents:
- Certificate of Bachelor degree or official academic transcript of your Bachelor studies. i.e. a list of successfully studied courses completed at your home university (inlcuding duration, final grades, graduation schedule), in English or German
- Detailed and current curriculum vitae (CV), written in English
- Letter of Motivation (see below for details), explaining your interest for enrollment in the Master of Mathematics or Master of Industrial Mathematics & Data Science program respectively, written in English
- Proof of sufficient English language skills, in English
- Proof of sufficient German language skills, in German
- Any additional documents or relevant qualifications, such as internships or academic awards, written in German or English
Further questions about the application procedure?
Please check the Master's Portal of the University of Bremen for answers concerning your online application (registration, upload of documents etc.). You will find answers to frequently asked questions at the FAQ of the Master's Portal.
If there are any questions left, please contact the Student Office
masterprotect me ?!uni-bremenprotect me ?!.de.
Application Deadline
April 30 for Winter Semester
October 15 for Summer Semester
Please take note
Documents for application
Applications are to be submitted WITHOUT CERTIFIED COPIES of your documents! Only after admission will you have to show certified hard copies.
Letter of Motivation
What we expect
Criteria for the evaluation of the letter are a specific reference to the study program, a distinct explanation of the applicant’s own qualification and qualification goals, particularly regarding the connection between the course of studies and future career aspirations, as well as the applicant’s motivation being in line with the focus of the study program. Motivation letters should be one page maximum and program specifics are:
M.Sc. Mathematics
Please mention which area of specialization (Algebra, Analysis, Numerics, Statistics/Stochastics) you plan to study.
M.Sc. Industrial Mathematics & Data Analysis
Please specify your choice of a technical application subject (current subjects: geosciences, electrical engineering, physics, mechanical engineering, and computer science) and elaborate on your previous coursework in this subject.
Substantive Requirements
M.Sc. Mathematics
Prerequisite knowledge for area of specialization
- Basic linear algebra (vector spaces, linear transformations, eigenvalues)
- Basic discrete mathematics (such as counting, graph theory)
- Basic algebra (groups, rings, fields)
- Group theory (structure theory, incl. classification theorem of finitely generated abelian groups)
- Point-Set topology (incl. Heine-Borel theorem)
- Axiomatic construction of natural and integral numbers and the fields of rational, real and complex numbers; their basis properties, supremum, infinimum, completeness, definition of powers
- Limits, limsup, liminf, accumulation points, convergence of sequences and series, pointwise and uniform convergence of series of functions, power series and their convergence, convergence to infinity
- Metric spaces, continuous functions, basic notions of topology (open, closed, compactness), intermediate value theorem, extreme value theorem
- Differential calculus for functions of one variable and for functions of several variables, Taylor expansion, necessary and sufficient conditions for local extrema, rules for differentials of composed functions,
- Lebesgue integration of functions on measurable subsets of n: integrable and measurable functions, null sets, integration rules, dominated convergence theorem, monotone convergence theorem, fundamental theorems of calculus (in one variable), theorems of Fubini and Tonelli
- Change of variables formula for one variable and multiple variables
- Path integrals, vector fields, gradient fields, scalar fields, integration of vector and scalar fields, curl, divergence
- Implicit function theorem, inverse function theorem, Banach fixed point theorem, Lagrange multipliers
- Ordinary differential equations of any order: separation of variables, variation of constants, Picard-Lindelöf theorem (existence and uniqueness of solutions), linear systems of ODEs, fundamental systems of solutions, matrix exponential function, Wronski determinant, method of d'Alembert
- Normed spaces, Banach spaces, Hilbert spaces, Lp-spaces
- Submanifolds of ℝn, integration for functions on submanifolds, divergence theorem (Gauss's theorem), Stokes's theorem
- Special functions: exponential function, logarithm, trigonometric functions, hyperbolic functions, and their inverses
- Sound knowledge in real analysis, multivariate calculus, and linear algebra (matrix theory)
- Ordinary differential equations: Peano’s theorem, Picard-Lindelöf’s theorem
- Lebesgue integration: Lp spaces, Lebesgue's dominated convergence theorem
- Functional analysis: Banach and Hilbert spaces, linear operators, weak convergence, Riesz representation theorem
- Probability theory: random variables, probability distributions, law of large numbers
- Numerical mathematics:
- Linear systems: LU decomposition, iterative solvers (conjugate gradients)
- Nonlinear equations and systems: Banach fixed-point theorem, Newton’s method
- Interpolation and extrapolation
- Numerical integration: Newton-Cotes formulas, Gaussian quadrature
- Ordinary differential equations: Runge-Kutta methods
- Approximation of derivatives by finite differences
- Experience in programming: python, Matlab, R, or something equivalent
- Measure theory, Lebesgue integration
- Basic probability theory
- Discrete probability distributions
- Probability distributions with Lebesgue densities
- Limit theorems for sequences of random variables
M.Sc. Industrial Mathematics & Data Analysis
- Sound knowledge in real analysis, multivariate calculus, and linear algebra (matrix theory)
- Ordinary differential equations: Peano’s theorem, Picard-Lindelöf’s theorem
- Lebesgue integration: L_p spaces, Lebesgue's dominated convergence theorem
- Functional analysis: Banach and Hilbert spaces, linear operators, weak convergence, Riesz representation theorem
- Probability theory: random variables, probability distributions, law of large numbers
- Numerical mathematics:
- Linear systems: LU decomposition, iterative solvers (conjugate gradients)
- Nonlinear equations and systems: Banach fixed-point theorem, Newton’s method
- Interpolation and extrapolation
- Numerical integration: Newton-Cotes formulas, Gaussian quadrature
- Ordinary differential equations: Runge-Kutta methods
- Approximation of derivatives by finite differences
- Experience in programming: python, Matlab, R, or something equivalent
Enrollment
Verification in two steps
After the application deadline your application will undergo two consecutive checks. At first the Student Office will check if your application is complete and correct.
If your application is incomplete or incorrect, it will not be included in the following selection procedure. Instead you will receive a notification from the Student Office indicating that your application was rejected and why.
At this stage, you can no longer correct your application or submit any missing documents.
If the application was complete, your application will be forwarded to the Master's Selection Board for final evaluation according to the ranking criteria of the program.
The Selection Board of the Master's programs Mathematics and Industrial Mathematics & Data Science will meet as soon as possible, and evaluate all applications within about six weeks after the application deadline.
After having received the final ranking list for the Master's programs Mathematics and Industrial Mathematics & Data Science, the Student Office will notify you of your admission status.
Enrollment
If your application is successful, you will get a notification of admission by email via the MOIN portal.
Please take note of the conditions and deadlines contained in the notification. If further paper documents are necessary, these must be submitted before the deadline stated in the admission note! If you do not submit the respective documents within the specified deadline or, if they are not correctly certified, you will not be enrolled.
Your enrollment is confirmed by paying the semester fee. Please take note of the payment deadline!
Check your status online
The Selection procedure will take some time (usually 6-8 weeks after the application deadline). Using your MOIN account login information, you can check the status of your application online at any time.
morePlease take note
For enrollment:
- Copies of original certificates must be OFFICIALLY CERTIFIED.
- Certificates in languages other than German or English must be TRANSLATED into German or English.
- ORIGINAL PRINTED DOCUMENTS WILL NOT BE ACCEPTED, please do not send any!
- Please bring the documents PERSONALLY for the enrollment process at the university. Do not send these by mail!
Getting ready for Bremen
- Passport, which is valid for the entire period to be spent in Germany (otherwise you will have to go home in between to renew it)
- Notification of enrollment or admission letter from the University Bremen
- Proof of financial resources (secure livelihood)
- Visa (not a tourist visa)
- Proof of health insurance (if your current health insurance is recognized in Germany!)
You will need the originals and certified translations of the following documents
(ask the German embassy for accepted translators and certification of copies)
- Birth certificate
- Secondary school graduation certificate
- University degree certificates
- Language certificates
These are optional, but good to bring if you have them
- a record of vaccinations (clarify with the German consulate whether you need any vaccinations)
- an international driver's license
- Medicine you need
- Some German cash for your arrival
- Recent biometric photographs (e.g. for residence permit or registration as a resident of Bremen)
- A power plug and possibly a voltage converter for electric appliances (in Germany: 230V/50Hz)
Information on visa, residence permit, registration, health insurance, bank account and more
morePlease take note
Important fact about health insurance
Every student needs to have a health insurance. Regular and visiting students can sign up for German public health insurance. Some providers:
(* Office on university campus)
If you do not need to be insured with German public insurance - for instance because you have a European public or private insurance, you still need to contact one of the insurance providers listed above! They will check your insurance coverage and inform the university. This is mandatory for enrolment.
Contact
If you are an enrolled or prospective student you can find assistance here:
Living & Campus
If enrollment is withdrawn before the semester documents have been printed, the entire semester fee can be refunded.
Afterwards, a refund can only be made after returning all semester documents (including semester ticket) to the Student Office.
- Costs
- Housing
- Health insurance
- Bank account
- Daily needs on campus (such as banks and insurance companies)
- Jobs
- International communities at the University of Bremen
- Languages
- Arrival, transport and semester ticket
- Campus map
- Learning spaces
- Libraries
- Academic advisory Services
- Catering
- Culture on campus
- Sports
Formalities regarding residency
After arriving in Bremen, you will need to register your address with the local authorities and apply for a residence permit. You will need an official certificate from your landlord to do so.
If your address is within the city-state Bremen, please contact bscmittebuergeramt.bremen.de / Residence Permit on Campus
For those with a residence outside of Bremen, please contact the local authority. ("Einwohnermeldeamt" for registering your address and "Ausländerbehörde" for obtaining a residence permit)
See the linked site for more information.
more
More information on registration and residence permit
moreContact BSU
BSU (bremen_service universität)
Bibliothekstr. 6
28359 Bremen
Before classes start
Welcome Days
Within the week before your lectures start, students of the previous year as well as the academic advisory office for mathematics will organize welcome days for all incoming students. They will help you with the formalities on campus, support you in dealing with administration and registration, and how you create your individual schedule. You will receive more information via email once you are registered.
