Tanulmányok helye	Magyarország, Budapest
Típus	Master, teljes idejű képzés
Névleges időtartam	4 félévek
Tanulmányok nyelve	angol
Díjak	MSc (Bioinformatician)
Kurzuskód	Computer Science and Information Technology
Akkreditáció	FNYF/1408-4/2023.

Felvételi követelmény

Alapdiploma (vagy magasabb szintű) ENTRY REQUIREMENTS Degree requirements: - BSc in Biology, Chemistry, Molecular Bionics, Biomedicine, Chemical Engineering, Medical Laboratory, Imaging Diagnostic Analysis, or similar. 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 - Biology (compulsory) AND Chemistry OR - 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 and 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/bioinformatics-msc  kepzes.itk.ppke.hu/bioinformatics

Áttekintés

ONLINE OPEN DAY!

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

DATE:
Thu 5 December 2024, 3 pm CET (Central European Time)
Wed 8 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 5., csütörtök, 15 óra (CET, magyar idő szerint)
2025. január 8., szerda, 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

Discover the Secrets of Biology with IT Tools

Bioinformatics is a science at the intersection of computer science and life sciences. By processing ever-increasing amounts of biological data, bioinformatics transforms data into information, paving the way for further scientific discoveries.

Bioinformatics knowledge is indispensable in all areas of biotechnology, including personalised medicine, drug and vaccine development, and database and software development for biomedical data.

FOCUS AREAS

Sequence Analysis
Structural Biology
Bioinformatics Algorithms
Biostatistics
Molecular Diagnostic Data Processing Techniques
Systems Biology Modelling Techniques
Mathematical Description of Complex Systems
Modelling of Neurobiological Processes

SPECIALIZATION

The following specializations are built into the curriculum of the study programme:
● Specialization in Biomolecular Data Interpretation
● Specialization in Systems Biology

 
CONTACT

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

Follow us on Facebook!

Link to Faculty webpage

Link to Bioinformatics Master’s program

Program details

Programstruktúra

Discover the Secrets of Biology with IT Tools

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 study program (120 credits) comprises the following modules:

- Fundamentals in Natural Sciences and Mathematics (requirements for diploma: 22 credits)
- Economics and Humanities (requirements for diploma: 5 credits)
- Skills in Programming and Data Analysis (requirements for diploma: 27 credits)
- Specialization (requirements for diploma: 27 credits) 

SPECIALIZATIONS

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

Biomolecular Data Interpretation

During the last decade, next-generation sequencing (NGS) methods ignited a profound transformation in personalized medicine by providing an affordable and efficient diagnostic background. Today’s trends include single-cell analysis techniques allowing the investigation of tissue heterogeneity, including tumors. In addition, novel high-throughput techniques are joining NGS in 3D protein structure prediction, proteomics, metabolomics analysis, etc. Interpreting the results obtained by these investigations is key in today’s molecular biology and medicine and is expected to become even more important.

Our specialization in Biomolecular data interpretation offers courses in a wide range of data processing and analysis. Besides NGS, functional analysis of DNA and protein sequences, proteomics studies, and macromolecular modelling are key aspects in understanding and influencing molecular processes.

Systems Biology

Quantitative analysis of large data sets can be performed using systems biology approaches. Such models can describe biological processes by considering molecule interactions and provide testable predictions. There are already efforts to use systems biology in biomedical applications, e.g. to predict the effect of potential drugs and to select molecular targets for a prospective therapy. With appropriate models, the complexity of the human nervous system can also be understood in more detail. Of course, systems biology utilizes the plethora of molecular and cellular-level data, incorporating them into specialized mathematical models.

In our Systems Biology specialization, we provide detailed mathematical and computational background, including the description of nonlinear systems and parameter estimation. We also introduce the data types and cellular processes relevant to systems biology models and give a comprehensive overview of current and prospective applications. We also offer specialized courses, e.g. with a focus on neurobiological modelling.

Program details