MSc in Computer Science
Budapest, Hungary
MSc
DURATION
4 semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
31 Oct 2026*
EARLIEST START DATE
Feb 2027
TUITION FEES
EUR 3,200 / per semester
STUDY FORMAT
* February intake
Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.
Key Summary
About: The MSc in Computer Science at Hungary’s university trains computer scientists with a solid theoretical background and practical skills in programming, systems development and management. You’ll study programming languages, cybersecurity, data science, web engineering, autonomous systems and multimedia, supported by mathematics and theoretical computer science. Tracks include Software and Service Architectures, Data Science, Cybersecurity, Artificial Intelligence, Financial Technology and Digital Industry. Foundation Year available.
Career Outcomes: Graduates work across industry, finance, government and research. Typical roles include: Software designer, Software architect, Information system architect, Systems designer / engineer, Data scientist, Data analyst, Security analyst, Information security architect, Cybersecurity specialist.
The goal of this program is to train Computer Scientist with professional knowledge based on a solid theoretical background. They have the skills to take part in program development, in developing information systems, and in system management in various areas. The Computer Scientist often acts as a mediator 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.
Our programs provide students with a broad education in Computer Science in combination with specialized work in programming languages, cybersecurity, data science, web engineering, autonomous systems, multimedia 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.
This program is recommended to applicants who
- want to partake in innovative and well-grounded education for the next generation of service designers and software architects capable of designing and engineering novel software systems.
- want to conduct analyses to detect, discover, and better understand the abounding data around us generated by social media, manufacturing systems, medical devices, logistic services, and countless others daily.
- want to be a responsible cybersecurity specialist with the right knowledge and skills to be able to contribute to making the digital world a safer place.
This program enables students to
- work in teams to guide the software development process (modern and agile software engineering methodologies integrated with design thinking and User Centric/Service Design methods) of complex information systems.
- gain in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).
- be valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together, through their multidisciplinary attitude.
Tracks/Specializations:
- Software and Service Architectures
- Data Science
- Cybersecurity
- Artificial Intelligence
- Financial Technology
- Digital Industry
Preparatory Program:
Foundation Year with a curriculum assembled on topics relevant to the Computer Science Master course program is also available.
Strength of the program
A high standard of training is guaranteed by 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. Upper-year students and PhD 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 for 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.
Tracks/Specializations:
- Software and Service Architectures
- Data Science
- Cybersecurity
Preparatory Program:
Foundation Year with curriculum assembled on topics relevant to the Computer Science Master course program is also available.
This program enables students to:
- Work in teams to guide the software development process (modern and agile software engineering methodologies integrated with design thinking and User-Centric/Service Design methods) of complex information systems.
- Gain in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualization, and related concepts (e.g., data access, data pricing, and data privacy).
- Be valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together, through their multidisciplinary attitude.
Software Designers are welcome in every sector of informatics. Jobs are offered by large international computer companies, outstanding 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.
Data science is a highly innovative area. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. The data scientist simultaneously masters scalable data management, data analysis, and domain area expertise to extract key knowledge and solve real-world problems.
Cybersecurity is also a burgeoning field for the design and development of new products and services. Graduates will easily find jobs within companies that provide value-added products and services, such as telecom companies, game companies, e-learning, web developers, and the entertainment industry.
Job examples
- Software and services designer
- Software architect
- Information system architect
- Systems designer/engineer
- Data Scientist
- Data Analyst
- Security Analyst/Information Security Architect/Cyber Security Specialist
This program is recommended to applicants who:
- Want to partake in innovative and well-grounded education for the next generation of service designers and software architects capable of designing and engineering novel software system.
- Want to conduct analyses to detect, discover and better understand the abounding data around us generated by social media, manufacturing systems, medical devices, logistic services, and countless others on a daily basis.
- Want to be a responsible cybersecurity specialist with the right knowledge and skills to be able to contribute to make the digital world a safer place.