|Type||Graduate (master), full-time|
|Nominal duration||4 semesters (120 ECTS)|
|Tuition fee||$7,000.00 per year|
|Application fee||$150.00 one-time|
Undergraduate (bachelor) diploma (or higher)
Bachelor Degree in Mathematics is required.
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
You must take the original entry qualification documents along with you when you finally go to the university.
You can apply with scan copies of your documents, however you will present their originals to the university during enrollment (in mid-September or mid-February) and they (scan copies and originals) have to be the same documents.
Applications are accepted from the following territories (based on citizenship): World.
English language proficiency (TOEFL 547 /IELTS 6.0 /oral examination)
At least 2 reference(s) must be provided.
If you don’t meet the admission requirements, you can have an additional preparatory semester (or year) program (pre-master). This bridging program is dedicated to those students who do not have required credits and courses from their former studies, therefore, they are unable to enroll the intended master’s program. The tuition fees of the pre-master program are as same as for the relevant bachelor’s program and any pre-master program starts in both semesters (in September and in February).
The main aim of the program is to provide the students with effective knowledge what they can successfully apply both in the mathematical modelling and in the solution of problems arising in practice. Emphasis is put on the capability of working cooperatively in groups with experts of other fields (computer science, engineering, economics, etc.).
Basics in the following subjects for all students: Algebra and number theory, Analysis, Geometry, Probability and statistics, Informatics and operational research.
Specific subjects for all students:
Discrete mathematics, Operations research, Applied analysis, Stochastic processes, Theory of algorithms.
Specific subjects in the different subprograms:
Mathematics of Engineering:Numerical analysis, solutions of differential equations
Linear models and applications
Mathematics of Finance:Statistics
Mathematics of Computer Science:Data mining
Mathematical theory of networks
Theory of complexity
Design, analyzing and implementation of algorithms and data structures Cryptography and data security
Codes and symmetric structures
Beside these subjects the students can choose from a variety of elective courses.
The quality and the quantity of the knowledge what the students can gain make the entrance possible to the PhD program of the Institute.