| General information | |
|---|---|
| Duration of the course: | 2 semesters |
| Tuition fee: | 2750 USD / semester |
| Study mode: | full time |
| Intake: | September |
| Application period - self financed: |
September intake: mid April - mid May |
| Application period - Stipendium Hungaricum scholarship: |
mid November 2025 - mid January 2026 |
| Language of Instruction: | English |
| Faculty: | Faculty of Forestry |
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Contact:
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Education goals
The programme aims to recognise and exploit the knowledge of biology, computer science, GIS (Geographic Information Systems), bioinformatics, and the synergies between the four disciplines. It also aims to transfer the latest knowledge in geoinformatics and bioinformatics, analyse actual geographical and biological data, and scientifically explore their relationships. Completion of this programme allows students to continue their studies at the PhD level.
Detailed description
Students will learn the basics of modern molecular biology applications, gain insights into bioinformatics, combine and draw conclusions from validated bioinformatics and geospatial data, supervise data processing, machine learning, and visualisation methods, and master the necessary software management. Ultimately, they can build models for characterising biological systems by adequately interpreting the informatics data.
Objectives
This graduate program aims to train biologists and informaticians to gain theoretical and practical skills in analysing geographical and biological data and combine them into timely structured biological processes involved in forestry, agriculture, nature conservation and human disease-related epidemics.
Key competences provided
In addition to providing a sound methodological basis for the use of modern biological and geospatial applications, the programme addresses the key aspects of analysing the meaning of the biological data and combining it with current geographical information to provide up-to-date monitoring of the health and disease-related trends in nature and the human environment.
Main subejcts
Molecular biology, Methodology of modern molecular biological applications, IT basics and databases, Data analysis and visualization, GIS, Introduction to bioinformatics, Biological applications of bioinformatics, Sequence and structural bioinformatics, Machine learning, Remote sensing, Latest updates in bioinformatics research, Management and publications
Career opportunities
Researcher, analyst, academic career, multinational companies
Prerequisites
BA/BSc diploma from Biology, Chemistry or Informatics
Related scientific publications
The list of related scientific publications is available here.
Curriculum of the Geobioinformatics MSc programme
|
Course |
Course Type1 |
Evaluation2 |
Credit |
Lecture (hours/week) |
Lab (hours/week) |
|
First semester |
|||||
|
Modern molecular biology |
A |
E |
5 |
2 |
2 |
|
Management and publication |
A |
MTG |
4 |
2 |
2 |
|
IT basics and databases |
A |
MTG |
5 |
1 |
3 |
|
Data analysis and visualization |
A |
MTG |
5 |
1 |
3 |
|
GIS |
A |
E |
5 |
2 |
2 |
|
Introduction to Bioinformatics |
A |
E |
5 |
2 |
2 |
|
Total: |
29 |
10 |
14 |
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|
|
|||||
|
Second semester |
|||||
|
Biological applications of bioinformatics |
A |
E |
5 |
2 |
2 |
|
Machine learning |
A |
MTG |
4 |
1 |
3 |
|
Remote sensing |
A |
E |
5 |
2 |
2 |
|
Sequence and structural bioinformatics |
A |
E |
5 |
2 |
2 |
|
Latest bioinformatics research |
A |
MTG |
4 |
2 |
2 |
|
Master's thesis |
A |
MTG |
5 |
0 |
4 |
|
Optional subject |
C |
MTG |
3 |
1 |
1 |
|
Total: |
31 |
10 |
16 |
1 Course type: A = compulsory, B = elective in engineering field, C = elective, K = criteria (no credit)
2 Evaluation: E = exam, MTG = mid-term grade, S = signature
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