MSCBioinformatics
| Study location | Hungary, Budapest |
|---|---|
| Type | Master, full-time |
| Nominal duration | 4 semesters (120 ECTS) |
| Study language | English |
| Awards | MSC (Bioinformatician) |
| Course code | Computer Science and Information Technology |
| Tuition fee | HUF 975,000 per semester Payable at the beginning of each semester by bank card through the university’s Neptun academic records system. |
|---|---|
| Application fee | HUF 8,000 one-time It is a non-refundable fee payable for the admissions procedure. It shall not be refunded even if the applicant is not invited for the entrance examination or fails to take it. The application fee must be paid through the University’s webshop at webshop.ppke.hu/en/ by bank card. Payment process - Go to webshop.ppke.hu/en/. |
| Entry qualification | Undergraduate diploma (or higher) ENTRY REQUIREMENTS Degree requirements DETAILED ADMISSION REQUIREMENTS Documents required as proof of qualification (to be uploaded under two separate tasks in the Checklist section): 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 of records and language exam certificate (with notarized English translation if not issued in English or Hungarian) |
|---|
| Language requirements | English In order to successfully participate in the program, applicants must be proficient in English. Proof of English proficiency: Exemption: |
|---|
| Other requirements | At least 1 reference(s) should be provided. Providing a reference is recommended. A motivation letter must be added to your application. Please specify the following in the motivation letter: - Why have you chosen Pázmány Péter Catholic University and this particular study program? ENTRANCE EXAMINATION PROCEDURE Step 1: evaluation of preliminary studies, verification of documents Step 2: online written test Step 3: online interview with the applicants who obtain the best results in the online test 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 |
|---|
| More information |
|---|
Overview
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!
PROGRAM DESCRIPTION
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
Link to Bioinformatics Master’s program
Programme structure
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.
GMT
GMT