Study location	Hungary, Budapest
Type	Master, full degree studies
Nominal duration	4 semesters (120 ECTS)
Study language	English
Awards	MSc (Computer Science Engineer)
Course code	Computer Science and Information Technology

Entry qualification

Bachelor diploma (or higher) ENTRY REQUIREMENTS - Bachelor’s degree in Computer Science, IT Engineering, Engineering Information Technology etc. The diploma rate must be over 75%. - English language certificate, corresponding to B2 level of CEFR (Common European Framework of Reference for Languages): e.g. TOEFL iBT score of 72, IELTS score of 6.0, etc. Exemption: Bachelor degree obtained in a full English language program (a certificate of medium of instruction is required), or English as a mother tongue. SUBJECTS FOR ENTRANCE EXAM (written and oral): - Physics and Electronics - Mathematics - Computer Science Further details of entrance exam ENTRANCE EXAM PROCEDURE 1. After an evaluation of preliminary studies, applicants with appropriate qualifications take an online written test covering various topics of the subjects of the entrance exam (see above). 2. Applicants obtaining the best results in the online test will be invited to attend an online personal interview, conducted via Skype / MS Teams / Zoom. During the online interview, details of the applicants’ BSc diploma thesis, as well as their knowledge in the selected field, their general professional commitment, language proficiency and communication skills are examined. 3. The Evaluation Committee sets the final score and admission result based on the application material, the online test and the personal interview. Description of application procedure The entry qualification documents are accepted in the following languages: English / Hungarian. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents along with you when you finally go to the university. Original BSc certificate, academic transcript, language exam certificate (with notarized English translation if they are not in English)

Language requirements

English In order to successfully participate in the programme, applicants must be proficient in English. (It is not necessary to have passed the English test at the time of the application; the results can be submitted later.) The following requirements apply if your mother tongue is not English: Language proficiency exam, corresponding to B2 level of CEFR. We accept all major, internationally recognized language exams. Minimum scores: e.g. FCE or CAE, IELTS 6.0, TOEFL 90 or TOEFL iBT 72+ etc. CEFR (Common European Framework of Reference for Languages) Exemption: - Bachelor diploma obtained in a full English language BSc program - English as a mother tongue

Other requirements

A motivation letter must be added to your application. The motivation letter can be submitted in either Hungarian or English. / A motivációs levél angolul vagy magyarul egyaránt benyújtható. Please specify the following in the motivation letter: - What are your specific fields of interest that make you apply for this study program? What exactly would you like to study, and what career path do you envision for yourself? (If you have already chosen a specialization, please describe.) - In what way have your previous studies and experiences prepared you for this study program? - Is any of the research areas of the Faculty of special interest to you? If so, which one(s)? (Introduction to our research groups) - What do you expect from your studies in Hungary on a personal and a professional level? - What does your Hungarian identity mean to you, and in what ways do you live it? - Optional: please describe your local and/or Hungarian community engagement(s) and activity. (Free time activities, church attachment, civil engagement etc. might be listed.) **** A motivációs levélben kérjük, térjen ki a következő szempontokra: - Mik azok a konkrét érdeklődési területei, ami miatt erre a szakra szeretne jelentkezni? Közelebbről mit szeretne tanulni, mivel szeretne a jövőben foglalkozni? (Ha esetleg választott már specializációt, kérjük, jelezze.) - Eddigi tanulmányai és tapasztalatai hogyan készítették fel erre? - A Kar kutatási területei közül van-e olyan, ami az Ön számára különösen izgalmas lehet? (Laboratóriumaink bemutatása) - Mire számít, mit szeretne magyarországi tanulmányai során elérni (személyes és szakmai szempontból)? - Mit jelent Önnek a magyarságtudat, hogyan / milyen formában éli meg a magyarsághoz való tartozását? - Opcionális: milyen magyar és/vagy helyi közösség(ek)hez tartozik; milyen közösségek játszanak fontos szerepet az életében? (Szabadidős tevékenységek, egyházi kötődés, civil szervezetben végzett munka stb. is felsorolhatók.)

More information	itk.ppke.hu/..uter-science-engineering-msc

Overview

VIRTUAL OPEN DAY!
Our Virtual Open Day is organised for all who are interested in our study programs.

DATE:
● Thu 07 December 2023, 3.00 pm CET

REGISTRATION for the Virtual Open Day

Please visit the Faculty webpage for further details: itk.ppke.hu/en.
For further info about the Virtual Open Day, contact us at international.office@itk.ppke.hu

See you soon!

ONLINE NYÍLT NAP

Online Nyílt Napot tartunk mindazon érdeklődők számára, akik szeretnének többet megtudni a Karon Diaszpóra Felsőoktatási Ösztöndíjjal megpályázható képzéseinkről.

IDŐPONT:
● 2023. december 7., 3.00 pm CET

A részletekért kísérje figyelemmel Karunk honlapját: itk.ppke.hu/en
További részletekért vegye fel velünk a kapcsolatot az international.office@itk.ppke.hu címen.

Hamarosan találkozunk!

PROGRAM DESCRIPTION

One of the strengths and a special feature of the Computer Science Engineering MSc program at Pázmány 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 state-of-the-art and unique sets of instruments. Our students can explore the world of research and development as soon as they start their Master’s studies. Depending on their specialization, our graduates may deepen their theoretical and practical knowledge in the fields of software design, communication networks, intelligent systems, sensing computers, mobile applications or image processing.

FOUNDATION SEMESTER
International students must attend a Foundation Semester before starting the actual Master’s program.The Foundation Semester is organized in the fall semester. Thus, the actual commencement of the Master’s programs is February. The goal of the foundation semester is to level students for their Master’s program in Budapest, helping to ensure that they can complete their studies successfully. The foundation semester helps students to recap, develop and upgrade the Bachelor-level skills needed to succeed in their Master’s program.

Students may start the four-semester Master’s program upon successful completion of the Foundation Semester.

SPECIALIZATIONS:

The following specializations are included in the curriculum of the study program.

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

CONTACT

International Relations Office: international.office@itk.ppke.hu

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Link to Faculty webpage

Link to Computer Science Engineering Masters program

Detailed information on the curriculum

Programme structure

FOUNDATION SEMESTER

The actual Master’s Program is preceded by a compulsory foundation semester in the fall term. The foundation 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.

The curriculum of the compulsory foundation semester for the Master’s program in Computer Science Engineering comprises the following subjects: Academic English; Algebra; Calculus; Computer Architectures; Electronics; Hungarian language; Probability and Statistics; Programming 1-2-3-4; Signal Processing

The actual Master’s program (4 semesters) starts in the spring term, upon successful completion of all subjects the foundation semester.

MASTER’S PROGRAM

The curriculum of the Computer Science Engineering MSc study program (120 credits) includes the following modules:
- Fundamentals in Natural Sciences (total required: 20-30 credits)
- Economics and Humanities (total required: 9-15 credits)
- Skills in Information Technology, including Specialization subjects (total required: 54-90 credits)
- Thesis Work (total required: 30 credits)
- Other elective subjects (maximum 6 credits)

SPECIALIZATIONS:

The specializations developed in the program prepare our students for the following areas of research and development and innovation activities:

● High Performance Computational Tools and Architecture (HPCT)
Fast decision making or the real time application of engineering methods often require really high performance computations with a sufficiently low cost. For this, up-to-date software tools and also dedicated hardware architectures are needed. Students choosing this specialization will study the integrated design of such tools in order to push exploitable computational power to the edge.

● Machine Learning for Data Science (MLDS)
The efficient and intelligent processing of the increasing amount of data from the technological, natural and social environment is already (and will be) a key factor in maintaining and developing our whole civilization. Students choosing this specialization will study state-of-the art methods for data representation/storage, data mining and model fitting supported by machine learning and artificial intelligence methods. The application fields of this approach are really wide and interdisciplinary starting from classical engineering to bionics and healthcare.

● Software Engineering (SE)
Software Engineering is a classical but continuously developing area of Computer Science and Engineering. The development of today’s functionally and possibly spatially distributed networked architectures make software engineering really challenging. Students choosing this specialization will be able to overview, understand and design such complex software systems using the latest development approaches.

Students are required to choose one of the specializations upon enrolment to the Master’s program.

REGISTRATION for the Virtual Open Day

Detailed curriculum of the Computer Science Engineering MSc program