The objective is to train Computer Scientists with professional knowledge based on solid theoretical background knowledge. They have the skills to take part in software development, in developing information systems and system management in various areas. Computer Scientists often acts as mediators between the customers of information systems and the producers. In this way, the job of a Computer Scientist synthesizes the constructive activity of engineers with the general problem-solving attitude of mathematicians while participating in teams of large-scale projects.

The program provides students with a broad education in Computer Science and Software Engineering in combination with specialized work in computer and information processing techniques, programming languages, data structures, information retrieval, operating systems, compiler design, etc. Students learn the theory as well as the methodologies and techniques in the development and implementation of computer systems. The more practical programming courses are aided by several courses in pure and applied mathematics and theoretical computer science courses throughout the curriculum.

Strength of program

The high standard of training is guaranteed by the highly qualified academic staff. Teaching is supported by modern infrastructure and well-equipped computer labs (artificial intelligence, databases, and robotics). The library of the Faculty contains several thousand volumes. The students of higher years and Ph.D. students help the first-year students in a mentor system to overcome their first challenges at the university.

In addition to the high level of theoretical training, the Faculty's relationship with the business community, the joint research, and development projects offer up-to-date practical knowledge and experience to the students. The Faculty has concluded bilateral agreements with numerous universities in the world, which allows students to study one or two semesters or participate in research projects at a partner institution.

Extracurricular undergraduate research activities of the students are supported and supervised by leading scientists of the Faculty. These students present their findings at a conference organized by the Faculty every year.

Workshops are also organized with international partners.

Structure

Preparation course for academic studies

Compulsory courses

  • Precalculus practices
  • Analysis 1
  • Analysis 2
  • Analysis 3
  • Numerical methods 1
  • Numerical methods 2
  • Models and Algorithms
  • Discrete mathematics 1
  • Discrete mathematics 2
  • Linear Algebra
  • Logic and theory of computation
  • Algorithms and data structures I
  • Algorithms and data structures II
  • Formal Languages
  • Artificial intelligence
  • Programming fundamentals
  • Fundaments of computers
  • Programming Languages (C++)
  • Programming languages (Java)
  • Functional programming
  • Practical software engineering 1
  • Practical software engineering 2
  • Application development
  • Tools of software projects
  • Compilers
  • Operating Systems
  • Computer Networks
  • Distributed systems
  • DataBases 1
  • DataBases 2
  • Computer Graphics
  • Principles of economics
  • Basic Legal and Business Knowledge
  • Programming
  • Probability and statistics

Free credits - 9 ECTS

Thesis credits - 20 ECTS

Internship

Career opportunities

Computer Scientists are welcome in every sector of informatics. Jobs are offered by large international computer companies, outstanding Hungarian firms, banks, large enterprises, state institutions, software development companies, research institutes and universities where they may be engaged in the preparation of integrated data processing systems, electronic trade transactions and electronic money transfers, solving telecommunication problems (networks, programming mobile phones), performing image recognition, computer-aided design, image processing or preparing multimedia applications.

Job examples

  • Computer programmer
  • Software engineer
  • Web developer

Program taught in:
  • English

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Last updated July 23, 2019
This course is Campus based
Start Date
Sep 2020
Duration
3 years
Full-time
Price
3,000 EUR
Tuition fee/semester: €3000. Application fee: €80 (non-refundable). Registration fee: €60 (For registering for a new semester.). Other costs: textbooks (~€100)
Deadline
Apr 30, 2020
By locations
By date
Start Date
Sep 2020
End Date
July 2023
Application deadline
Apr 30, 2020

Sep 2020

Location
Application deadline
Apr 30, 2020
End Date
July 2023