Tanulmányok helye	Magyarország, Budapest
Típus	Master, teljes idejű képzés
Névleges időtartam	4 félévek
Tanulmányok nyelve	angol
Díjak	MSc (Computer Science Engineer)
Kurzuskód	Computer Science and Information Technology

Felvételi követelmény

Alapdiploma (vagy magasabb szintű) ENTRY REQUIREMENTS Degree requirements: - BSc in Computer Science, IT Engineering, Engineering Information Technology, etc. DETAILED ADMISSION REQUIREMENTS ENTRANCE EXAMINATION PROCEDURE Step 1: evaluation of preliminary studies, verification of documents Step 2: online written test Platform: Moodle Subjects of the entrance examination - Physics and Electronics AND - Mathematics AND - Computer Science Step 3: online interview with the applicants who obtain the best results in the online test Platform: MS Teams, Zoom or other Topics covered: BSc diploma thesis, knowledge in the selected field of study, general professional commitment, language proficiency, and communication skills Step 4: final score and admission result set by the Admissions Committee based on the application material, the online test and the personal interview Description of the admissions procedure How to apply through the Hungarian Diaspora Scholarship program A jelentkezési dokumentumokat a következő nyelveken tudjuk fogadni: angol / magyar. A iskola gyakran tud megfelelő nyelven készült indexmásolattal/kreditigazolással szolgálni. Amennyiben ez az Ön esetében nincs így, szüksége lesz hivatalos fordításra az eredeti dokumentum hivatalos másolatával együtt. Végül az egyetemre magával kell vinnie a bemeneti követelmények teljesítését igazoló dokumentumok eredeti példányát. Original BSc certificate, academic transcript of records, language exam certificate (with notarized English translation if not issued in English or Hungarian)

Nyelvi követelmények

angol In order to successfully participate in the program, 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 by 1 August.) Proof of English proficiency: English language certificate, corresponding to B2 level of CEFR (Common European Framework of Reference for Languages) We accept all major internationally recognized language exam types. Minimum scores: IETLS 6.0, TOEFL 90, TOEFL iBT 72. Please note that Duolingo tests, placement tests and certificates issued by English departments are NOT accepted. Exemption: a) English as a mother tongue b) Bachelor’s degree obtained in a full English language BSc program (a certificate of medium of instruction is required) CEFR Common Reference Levels More detailed information

Egyéb követelmények

Legalább 1 referenciát be kell nyújtania. A motivációs levél a jelentkezés kötelező melléklete. 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: - Why have you chosen Pázmány Péter Catholic University and this particular study program? - 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 particular interest to you? If so, which one(s)? (Introduction to the Jedlik Laboratories) - 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: - Miért választotta a Pázmány Péter Katolikus Egyetemet és ezt a képzést? - Ha választott már specializációt, kérjük, jelezze. - Eddigi tanulmányai és tapasztalatai hogyan készítették fel a képzésre? - A Kar kutatási területei közül van-e olyan, amely az Ön számára különösen izgalmas lehet? (A Jedlik Ányos Laboratórium bemutatása) - 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.)

További információ	itk.ppke.hu/en/computer-science-eng-msc  kepzes.itk.ppke.hu/computerscienceengineer

Áttekintés

ONLINE OPEN DAY!

Our Online Open Day is organised for all who are interested in our study programs.

DATE:
Wed 4 December 2024, 3 pm CET (Central European Time)
Tue 7 January 2025, 3 pm CET (Central European Time)

REGISTRATION for the Online Open Day

Please visit the Faculty webpage for further details: itk.ppke.hu/en
For further info about the Online 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:
2024. december 4., szerda, 15 óra (CET, magyar idő szerint)
2025. január 7., kedd, 15 óra (CET, magyar idő szerint)

REGISZTRÁCIÓ az Online Nyílt Napra

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

120 ECTS

A special feature of the Computer Science Engineering MSc program at Pázmány ITK is the 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.

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.

FOCUS AREAS

Software design and mobile applications
Artificial intelligence
Non-conventional computing
Image processing and computer vision
Prompt engineering
Database management, big data
Robotics, control systems
Parallel systems

SPECIALIZATION

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

Program details

Programstruktúra

The Synergy of Life Sciences and Technology

The program unfolds over a duration of 1+4 semesters (1 foundation semester + 4 semesters), providing a comprehensive and structured educational experience.

FOUNDATION SEMESTER

International students must attend a Foundation Semester in the fall semester, before starting the actual Master’s program. Thus, the actual commencement of the Master’s program 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 only start the four-semester Master’s program upon successful completion of the Foundation Semester.

CURRICULUM

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

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

SPECIALIZATION

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 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 makes 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.

Program details