Master of Science in Bioinformatics (Bioscience Engineering)
Bioinformatics aims at gaining a better and preferentially more quantitative molecular understanding of cellular processes by integrating and modelling high-throughput molecular data (omics data). This requires the use and development of state-of-the-art techniques for storing, retrieving, organizing, analysing and interpreting biological data.
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 1
|
en
|
Lieven Clement
|
6
|
|
|
1
|
sem 1
|
en
|
Tim De Meyer
|
6
|
|
|
1
|
sem 2
|
en
|
Klaas Vandepoele
|
6
|
|
|
1
|
sem 2
|
en
|
Kathleen Marchal
|
3
|
|
|
1
|
year
|
en
|
Jan Fostier
|
9
|
|
|
|
sem 1
|
en
|
Kathleen Marchal
|
3
|
|
Students of the Bachelor of Science in biochemistry and biotechnology (or an equivalent) subscribe for "Reorientation B.Sc. in Biochemistry and Biotechnology".
Students of the Bachelor of Science in bioscience engineering (or an equivalent) and students who succesfully completed the preparatory course subscribe for "Reorientation B.Sc. in Bioscience Engineering".
Subject to approval by the curriculum committee.
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
1
|
sem 2
|
en
|
Jo Dewulf
|
4
|
|
|
1
|
sem 2
|
nl
|
Jan Verwaeren
|
5
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
1
|
sem 2
|
en
|
Wim Van Criekinge
|
3
|
|
|
1
|
sem 1
|
en
|
Pieter De Bleser
|
6
|
|
|
|
sem 1
|
en
|
Paul Van Liedekerke
|
3
|
|
|
1
|
sem 2
|
en
|
Veerle Fack
|
3
|
|
|
|
sem 1
|
en
|
Willem Waegeman
|
5
|
|
Subscribe to: 10 credit units (students with module Reorientation B.Sc. in Biochemistry and Biotechnology) or 14 credit units (students with module Reorientation B.Sc. in Bioscience Engineering).
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 1
|
en
|
N. N.
|
6
|
|
UKV
|
|
sem 1
sem 2
|
en
en
|
Geert Jacobs
|
3
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 2
|
nl
|
Wim Verbeke
|
5
|
|
|
|
sem 2
|
en
|
Benedikt Sas
|
3
|
|
|
|
sem 2
|
nl
|
Mario Vanhoucke
|
4
|
|
|
|
sem 2
|
en
|
Frank Gielen
|
3
|
|
|
|
sem 2
|
nl
|
Petra Andries
|
3
|
|
|
|
sem 2
|
en
|
Johan Verrue
|
4
|
|
Subscribe to no more than 5 credit units outside the domain of bioinformatics and other related sciences including the Ghent University elective course list. Subject to approval by the curriculum committee.
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 1
|
en
|
Lieven Clement
|
6
|
|
|
|
sem 1
|
en
|
Kathleen Marchal
|
3
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
2
|
sem 1
|
en
|
Wim Soetaert
|
5
|
|
|
2
|
sem 1
|
en
|
Andre Skirtach
|
4
|
|
|
2
|
sem 1
|
en
|
Paul Van der Meeren
|
5
|
|
Students of the Bachelor of Science in biochemistry and biotechnology (or an equivalent) subscribe for "Reorientation B.Sc. in Biochemistry and Biotechnology".
Students of the Bachelor of Science in bioscience engineering (or an equivalent) and students who succesfully completed the preparatory course subscribe for "Reorientation B.Sc. in Bioscience Engineering".
Subject to approval by the curriculum committee.
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
2
|
sem 2
|
nl
|
Michiel Stock
|
4
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
2
|
sem 2
|
en
|
|
5
|
|
|
2
|
sem 1
|
en
|
Els Van Damme
|
4
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 1
|
en
|
Paul Van Liedekerke
|
3
|
|
|
|
sem 1
|
en
|
Willem Waegeman
|
5
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
2
|
year
|
en
|
N. N.
|
30
|
|
Subscribe to: 10 credit units (students with module Reorientation B.Sc. in Biochemistry and Biotechnology) or 14 credit units (students with module Reorientation B.Sc. in Bioscience Engineering).
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 1
|
en
|
N. N.
|
6
|
|
UKV
|
|
sem 1
sem 2
|
en
en
|
Geert Jacobs
|
3
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 2
|
nl
|
Wim Verbeke
|
5
|
|
|
|
sem 2
|
en
|
Benedikt Sas
|
3
|
|
|
|
sem 2
|
nl
|
Mario Vanhoucke
|
4
|
|
|
|
sem 2
|
en
|
Frank Gielen
|
3
|
|
|
|
sem 2
|
nl
|
Petra Andries
|
3
|
|
|
|
sem 2
|
en
|
Johan Verrue
|
4
|
|
Subscribe to no more than 5 credit units outside the domain of bioinformatics and other related sciences including the Ghent University elective course list. Subject to approval by the curriculum committee.
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 1
|
en
|
Lieven Clement
|
6
|
|
|
1
|
sem 1
|
en
|
Tim De Meyer
|
6
|
|
|
1
|
sem 2
|
en
|
Klaas Vandepoele
|
6
|
|
|
1
|
sem 2
|
en
|
Kathleen Marchal
|
3
|
|
|
1
|
year
|
en
|
Jan Fostier
|
9
|
|
|
|
sem 1
|
en
|
Kathleen Marchal
|
3
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
2
|
sem 1
|
en
|
Wim Soetaert
|
5
|
|
|
2
|
sem 1
|
en
|
Andre Skirtach
|
4
|
|
|
2
|
sem 1
|
en
|
Paul Van der Meeren
|
5
|
|
Students of the Bachelor of Science in biochemistry and biotechnology (or an equivalent) subscribe for "Reorientation B.Sc. in Biochemistry and Biotechnology".
Students of the Bachelor of Science in bioscience engineering (or an equivalent) and students who succesfully completed the preparatory course subscribe for "Reorientation B.Sc. in Bioscience Engineering".
Subject to approval by the curriculum committee.
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
1
|
sem 2
|
en
|
Jo Dewulf
|
4
|
|
|
1
|
sem 2
|
nl
|
Jan Verwaeren
|
5
|
|
|
2
|
sem 2
|
nl
|
Michiel Stock
|
4
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
2
|
sem 2
|
en
|
|
5
|
|
|
2
|
sem 1
|
en
|
Els Van Damme
|
4
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
1
|
sem 2
|
en
|
Wim Van Criekinge
|
3
|
|
|
1
|
sem 1
|
en
|
Pieter De Bleser
|
6
|
|
|
|
sem 1
|
en
|
Paul Van Liedekerke
|
3
|
|
|
1
|
sem 2
|
en
|
Veerle Fack
|
3
|
|
|
|
sem 1
|
en
|
Willem Waegeman
|
5
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
2
|
year
|
en
|
N. N.
|
30
|
|
Subscribe to: 10 credit units (students with module Reorientation B.Sc. in Biochemistry and Biotechnology) or 14 credit units (students with module Reorientation B.Sc. in Bioscience Engineering).
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 1
|
en
|
N. N.
|
6
|
|
UKV
|
|
sem 1
sem 2
|
en
en
|
Geert Jacobs
|
3
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
|
sem 2
|
nl
|
Wim Verbeke
|
5
|
|
|
|
sem 2
|
en
|
Benedikt Sas
|
3
|
|
|
|
sem 2
|
nl
|
Mario Vanhoucke
|
4
|
|
|
|
sem 2
|
en
|
Frank Gielen
|
3
|
|
|
|
sem 2
|
nl
|
Petra Andries
|
3
|
|
|
|
sem 2
|
en
|
Johan Verrue
|
4
|
|
Subscribe to no more than 5 credit units outside the domain of bioinformatics and other related sciences including the Ghent University elective course list. Subject to approval by the curriculum committee.
- Having advanced knowledge of mathematics, informatics, machine learning and statistical techniques and their application within bioinformatics and systems biology.
- Having knowledge of experimental techniques for the generation of 'omics’ data.
- Understanding the specificities of ‘ bioinformatics’ and ‘systems biology’ in relation to its composing subdomains i.e. having insights in the interdisciplinary character of the research domain.
- Application of basic statistical, computer science and other data analysis techniques to solve well-delineated problems (skill).
- Having an overview of the most important methods in computational biology.
- Having insight in the way bioinformatics evolves (fastly evolving domain).
- Recognize data structures and algorithms that are used frequently in the bioinformatics domain.
- Having advanced knowledge of the bioinformatics application domain.
- As bioengineers, integrate biological knowledge and engineering requirements, in research and development as well as industrial settings.
- Use scientific literature, omics databases and international research initiatives (Encode, 1000 genomes, ...) in support of own research.
- Select, test and critically evaluate methods and tools based on domain literature to support own bioinformatics research.
- Combine existing tools and methods in an original way to solve a novel bioinformatics problem.
- Solve research questions by the analysis of 'omics’ data.
- Summarize and visualize the multitude of complex results, resulting from a genomewide analysis or pattern mining approach in an intuitive way.
- Generate biological hypotheses based on analysis results.
- Define a complex systems biology problem and subdivide this in subproblems.
- Choosing the most appropriate principles to solve each of the subproblems, if needed in collaboration with experts in each of the subdomains (informatics, statistics).
- Make a well-educated choice between the theoretical ly most elegant and most prag matic method s and estimate the effects of appr oximations on the final results.
- Showing an active attitude towards life- long learning.
- Communicate in English in the own domain.
- Work in a project driven way: formulating goals and focused reporting , taking into account the end goals, the development trajectory and the background of the vocational field (bioinformaticians, biologists, clinicians, statisticians, computer scientists).
- Function as a member of a team in a multidisciplinary environment and as starting manager.
- Oral, written and graphical reporting on a scientific topic and placing it in a broader framework.
- Having an insight in the ethical questions raised by the fastly evolving domain of bioinformatics and systems biology ( persona lized medicine, successful aging , sustainable agriculture, synthetic biology , … ).
- Being aware of the social and bioethical discussions that relate to the data and the analysis results.
- Taking into account the running ethical norms in scientific research (e.g. dealing with patient data).
- Plan and execute in an independent and results-driven way an engineering project at the level of a beginning professional.
- Gaining insight into the complexity of the problem with quantitative methods.
- Extract useful infor mation from abun dant, incomplete and contradictory data.
- Taking into account budget- related, technical, computational, ethical and confidential constraints when developing high-quality bio informatics systems, products, services or experimental design.
- Use fundamental and technological aspects during research and product development in technical and technological functions.