More information 


An ONLINE OPEN DAY focusing on our Masters programs will be held on 10 January 2022, Monday 3 pm CET (details are to be announced later). This will give you an opportunity to get even more information about studying at Pázmány University, and ask any questions you may still have. Please check the news on our Faculty webpage for updates. We look forward to meeting you at our Open Day.

Program description:
One of the strengths and a special feature of the Computer Science Engineering MSc program at PPKE ITK is the specific synergy of information technologies and life sciences. Our goal is to teach human-centered information technology with the fundamental concepts of life sciences. The essence of our Computer Science Engineering training approach is that we try to find and understand techniques developed during millions of years in biological systems, and we try to transfer them into engineered informatics environments. In this field of continuously developing technologies we provide the necessary disciplinary fundamentals to facilitate the professionals trained by our Faculty to work at the highest level. The solid theoretical foundations provide efficient support for the interpretation and handling of a generation shift in informatics, therefore our Computer Science Engineer graduates can adapt well to the ever-changing professional environment.

Besides basic natural sciences, our students study the most relevant programming languages and their application in different environments. They become familiar with the principles of complex software systems and artificial intelligence. We emphasize a hardware-based approach and kiloprocessor, as well as reconfigurable architectures. Through the teaching of sensory applications, we open towards the world of info-bionics. Neuromorphic calculations, digital language technology, machine learning or image processing and image analysis are also very exciting and modern fields that can be studied and explored in our Faculty.

Several experimental research laboratories operate at the Faculty, equipped with a modern and unique set of instruments; therefore, our students can explore the world of research and development as soon as they start their Master’s studies. Our graduates, depending on their specialization, can deepen their theoretical and practical knowledge in the fields of software design, communication networks, intelligent systems, sensing computers, mobile applications or image processing.

Entrance exam:

Subjects of the entrance examination (written and oral):

- Physics and Electronics
- Mathematics
- Computer Science

Type of entrance exam:
written test and audiovisual interview

Entrance exam location:

Entrance exam description:
1. After an evaluation of preliminary studies, applicants with appropriate qualifications take a written online test covering topics in Mathematics, Physics, Electronics and Computer Science.
2. If the applicant obtains a high enough score in the online test, he/she will be invited to attend an oral interview, conducted online. The International Relations Office notifies the student in advance about the planned topics of the oral exam.
3. Applicants are interviewed online where details of the applicant’s BSc diploma thesis, as well as professional commitment, language proficiency and communication skills are examined.
4. The Evaluation Committee sets the final score and admission result based upon the quality of the application material, the online test and the personal interview.

Detailed admission requirements and exam topics

International Relations Office

Compulsory preparatory semester available:
YES (organized in the fall semester). Thus, the actual start of the Master’s programs is February. The goal of the preparatory semester is to bring students to the same level for their Master’s program, helping them to recap, develop and upgrade the Bachelor-level skills needed to succeed in their Master’s program.

Specialisation year available:
NO. Specialisations are built into the MSc program and are and integral part of the Curriculum.

Minimum number of scholarship holders:

Maximum number of scholarship holders:

Follow us on Facebook!

Link to Faculty webpage

Programme structure

The actual Masters Program is preceded by a compulsory Preparatory semester in the Fall term. The preparatory semester consists of four three-week-long modules, each module comprising three or four subjects. The courses follow an intensive schedule, and each are concluded by a compulsory exam. Thus, the length of the Masters program is 1+4 semesters in total.

The Curriculum of the Computer Science Engineering MSc study program (120 credits) comprises the following modules:

● Fundamentals in Natural Sciences (20-30 credits)
● Economics and Humanities (total required: 9-15 credits)
● Skills in Information Technology, including Specialization subjects (54-90 credits)
● Thesis Work (30 credits)
● Other elective subjects (maximum 6 credits)

Specializations offered within the program:

● High Performance Computational Tools and Architecture (HPCT)
● Machine Learning for Data Science (MLDS)
● Software Engineering (SE)

Students are required to choose one specialization at the beginning of their Masters studies.

Detailed curriculum of the Study Program

ECTS Credit System and Grading in Hungary

Due to the European Credit Transfer System (ECTS), introduced in September 2003, credits and degrees earned in Hungary are transferable to other European institutions and vice versa. In addition to the diploma, students are also provided with a special supplement that is recognized all over the European Union.

The calculation of the credits is based on the number of working hours of the students (one credit is 30 student working hours, on average).

Teaching is conducted in three different forms: lectures, practices, and laboratory practice. There are two ways of assessment: practical mark (predominantly for practical courses, based on the student’s term-time progress) or exam.

At the end of the semester, the student’s study achievement is evaluated with a grade. The grading system used in Hungary is the following:
• The highest grade is 5 excellent.
• Grade 4 is good.
• Grade 3 is satisfactory.
• Grade 2 is a pass.
• Grade 1 is a fail – the course must be repeated.

Read more about the Hungarian higher education system

Not available for applying at the moment

Application deadlines apply to citizens of: United States

Not available for applying at the moment

Application deadlines apply to citizens of: United States