ChineseMSc in Computer Science
Faculty of Mechanical, Electrical Engineering and Informatics
| Name of qualification and level | Duration of studies | Intake | Necessary no. credits for degree | Tuition fee | Application fee | Supervisor | Programme mentor |
|---|---|---|---|---|---|---|---|
| Computer Scientist (MSc) | 4 semesters – full time programme | September | 120 credits | 2,600 EUR / semester | 100 EUR / application |
Dr Zoltán Horváth |
Dr Éva Veronika Pestiné Rácz |
The programme brings its active and motivated students to professional level in either artificial intelligence, computational modelling and high performance computing. The programme prepares the students to scientific research in international research and innovation teams, development work in industry, and/or professional work in industry and other sectors.
Structure of studies
Students have compulsory courses in the fields of basic and advanced mathematical technologies (numerical methods in linear algebra, differential equations, concept of digital twins), Python programming, cloud computing, high performance computing (HPC) and data science (data analysis, machine learning, neural networks). Elective subjects provide master-level knowledge in mathematical modelling, simulation and optimization, programming, and artificial intelligence.
A key element of the programme is the support of research and innovation activities. Students have a compulsory course in research methodology in the first semester, and can select Innovation and research communication courses as free elective subjects, which aim the preparation of a scientific publication.
Compulsory internship provides valuable work experience. Students can find positions in international research and innovation projects (see e.g. HiDALGO2- project), in university competence centres, or in companies in artificial intelligence, automotive industry and other sectors. Two semester thesis work can be linked with the internship via solving real industrial and research challenges with the support of internal and external supervisors.
The total number of credits needed to complete the programme is 120 credits. 1 credit equals one ECTS credit, and 1 credit is defined as 25 student working hours.
Language requirements
TOEFL 513 / IELTS 5.5 /oral examination, TOEFL IBT test score of 66 or any standardised international English language exam corresponding with Hungarian B2 at the Bachelors level and C1 at Masters level.
If there is no standardised English exam, the University relies on an online interview. Applicants not complying with language requirements must enrol in a preparatory language programme. After having completed the language course and passed the requisite final examination, if there are no professional reservations on the part of the Faculty, admission to the selected Bachelor's programme is automatic.
Academic requirements
Completed and signed application form, copy of your passport, notarized copy of Bachelor’s degree relevant* to the Master's studies, notarized copy of the Transcript of Records, notarized copy of your language certificate, recent photograph, Curriculum Vitae (resumé) in English, Motivational Letter in English, Academic Reference letter in English (Issued by your former academic institution/teacher)
*BSc either in Computer Science, Mathematics, Applied Mathematics, Informatics or Electrical Engineering
Who is the programme aimed at?
The MSc program is designed for students and professionals holding bachelor degrees (BSc) in informatics, applied mathematics, and some computation oriented engineering programmes. The program is designed to accommodate full-time students only.
Programme educational objectives:
The Computer Science MSc programme at Széchenyi István University is designed to equip students with the knowledge, skills and attributes necessary for successful careers in the field of computer science. Our programme educational objectives (PEOs) are as follows:
PEO#1 Students will excel in developing effective solutions to computer science challenges.
PEO#2 Students will demonstrate proficient communication and competency in core computer science areas, whether in practice or through advanced studies.
PEO#3 Students will conduct themselves ethically, contribute to societal well-being through their projects and advance professionally in their careers.
PEO#4 Students will stay updated with contemporary changes, engage in lifelong learning.
Student Outcomes:
The student outcomes (SOs) of our programme represent the skills, knowledge and behaviours that our curriculum aims to impart to our students. The Computer Science MSc programme defines seven SOs (1) to (7) to guide student development as follows:
- An ability to apply mathematics and computer science in development tasks that require a novel approach.
- An ability to formalize the complex professional problems arising in computer science, to reveal the necessary theoretical and practical background and to solve the problem by applying principles of engineering, science and mathematics.
- An ability to apply computer science in various, multidisciplinary environments.
- An ability to communicate effectively with a range of audiences at a high level, participate in discussions, prepare reports, and process scientific and technical professional materials.
- An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental and societal contexts.
- An ability to function effectively on a team whose members provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks and meet objectives.
- An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Job opportunities:
Masters in computer science have a large variety of job opportunities, including software developers, data scientists, cybersecurity analysts, machine learning engineers, web developers, network engineers, AI research scientists, and IT project managers. These roles span various sectors, from tech to healthcare, business, industrial engineering and finance. The diploma obtained is recognised as equivalent in the European Union.
