Budapest, Hungary
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
31 May 2025
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 4,190 / per semester *
STUDY FORMAT
On-Campus
* application fee: €160.
Key Summary
Introduction
The program gives a comprehensive knowledge of several areas in applied mathematics. The advanced courses present state of the art issues of the given area, e.g. in statistical methods, financial mathematics, code theory, numerical methods, etc.
The goal of this program is to develop a student’s mathematical skills to solve industrial and other real-life problems and development tasks in innovative ways.
Admissions
Curriculum
Strength of program
One of the main features of the program is that it covers several areas of applied mathematics, thus our graduates will have a broad knowledge. Besides offering an introduction and basic foundation in many topics, some of the subjects lead to up-to-date research results.
Our instructors all have scientific degrees and good research records, as well as international teaching experience. Of particular interest is the fact that many researchers in the internationally renowned Hungarian school of combinatorics have started their career at our university: for example, the Wolf Prize and Kyoto Prize winner Prof. László Lovász, and the recent Abel Prize winner Prof. Endre Szemerédi.
Structure
Students enrolled in the program must obtain at least 120 credits in the following distribution:
- at least 18 credits from so-called basic courses (B)
- at least 24 credits from so-called core courses (C)
- at least 40 credits from so-called differentiated courses (D)
In the framework of Modelling activities, the Modelling project works (6 credits) are compulsory, and the Modelling week can be chosen freely. On top of these, 6 credits can be chosen freely from the list of all subjects offered to MSc students in mathematics and applied mathematics. Furthermore, a thesis (worth 20 credits) must be written at the end of the studies.
Program Outcome
This program enables students to acquire fundamental capabilities such as:
- Modeling and analytical skills,
- Knowledge of numerical methods,
- Skills in programming and simulation,
- Experience with real-life mathematical models such as in industry or economy,
- Ability to handle huge amounts of data by integrating mathematical, numerical and statistical methods.
Career Opportunities
Our graduates will be able to continue their career in industrial development and research, such as high tech industries, telecommunication, software development, financial institutions or insurance companies. They may also apply for PhD studies either at Eötvös Loránd University or anywhere in the world.
Job examples
- System analyst in a financial institution (bank, investment, insurance)
- Software development
- Telecommunication
- High tech industry
- Research mathematician