|Study location||Hungary, Debrecen|
|Type||Master, partial/exchange studies|
|Nominal duration||1 or 2 semesters (36 ECTS)|
|Course code||Natural Science|
Bachelor diploma (or higher)
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.
Applications are accepted from the following territories (based on citizenship): Albania, Brazil, Cambodia, Japan, Lebanon, Mexico, Mongolia, Russia, South Korea, Syria, Vietnam.
TOEFL 547 / oral examination
A motivation letter must be added to your application.
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.). The quality and the quantity of the knowledge what the students can gain make the entrance possible to the PhD program of the Institute.
Relevant Bachelor degree
Type of entrance exam:
Entrance exam location:
Entrance exam description:
The professional evaluation of the educational materials (degree, transcripts, results) is the task of the relevant Faculty. This evaluation is followed by a Skype interview with one of the professors of the Faculty, which aims to check the applicant’s level of motivation, language skills and professional knowledge. (In case of a missing certificate about the English language proficiency we conduct a Skype interview in order to check the applicant’s English language skills.)
Ms Lilla Fónai
Preparatory year available:
Specialisation year available:
Minimum number of scholarship holders:
Maximum number of scholarship holders:
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.