Education

What can you find on this webpage?

Our (future) students can find the official study programme and other useful info here.

You can find information about admission requirements, further studies and more practical info such as ECTS sheets, or a weekly timetable of the current academic year.

Are you a future student?

Be sure to first take a look at the page about the Master of Bioinformatics.

There you can find more info on:

- What’s the programme about?

- Starting profile

- Admission and application

- Future possibilities

- Why KU Leuven

- Contact

- ...

Objectives

Learning outcomes Master of Bioinformatics

The student
1  Possesses a broad knowledge of the principles of genetics, biochemistry and molecular and cellular biology that underlie the model systems, the experimental techniques, and the generation of data that are analyzed and modeled in bioinformatics.

2   Possesses a broad knowledge of the basic mathematical disciplines (linear algebra, calculus, dynamical systems) that underlie mathematical and statistical modeling in bioinformatics.

3  Masters the concepts and techniques from information technology (database management, structured and object-oriented programming, semantic web technology) for the management and analysis of large amounts of complex and distributed biological and biomedical data.

4  Masters the concepts and techniques from machine learning and frequentist and Bayesian statistics that are used to analyze and model complex omics data.

5   Has acquired knowledge of the core methods of computational biology (such as sequence analysis, phylogenetic analysis, quantitative genetics, protein modeling, array analysis).

6  Has advanced interdisciplinary skills to communicate with experts in life sciences, applied mathematics, statistics, and computer science to formalize complex biological problems into appropriate data management and data analysis strategies.

7  Can - in collaboration with these experts - design complex omics experiments and analyze them independently.

8  Can independently collect and manage data from specialized literature and public databases and critically analyze and interpret this data to solve complex research questions, as well as develop tools to support these processes.

9  Investigates and understands interaction with other relevant science domains and integrate them within the context of more advanced ideas and practical applications and problem solving.

10  Demonstrates critical consideration of and reflection on known and new theories, models or interpretation within the specialty; and can efficiently adapt to the rapid evolution the life sciences, and especially in omics techniques, by quickly learning or developing new analysis strategies and incorporating them into the learned competences.

11  Presents personal research, thoughts, ideas, and opinions of proposals within professional activities in a suitable way, both written and orally, to peers and to a general public.

12  Develop and execute original scientific research and/or apply innovative ideas within research units.

13 Understands ethical, social and scientific integrity issues and responsibilities and is able to analyze the local and global impact of bioinformatics and genomics on individuals, organizations and society.

Major Engineering
14 Has a broad theoretical knowledge of methodology in computer science and can apply this knowledge to design, implement and evaluate a computer-based system, process, component or programme to solve technical bioinformatics problems.

Major Bioscience Engineering
15 Has specialized knowledge of complex biosystems and can apply this knowledge to design, implement and evaluate novel methodologies to solve technical problems in an environment where bioinformatics is used.

Major Engineering and Bioscience Engineering
16 Has advanced skills in data analysis methodologies and can apply these skills to integrate data from multiple disciplines to solve bioinformatics problems in scientific, clinical or biotechnological environments.

Educational quality of the study programme

Here you can find an overview of the results of the COBRA internal quality assurance method.

Educational quality at study programme level

Blueprint
Blueprint_MA_Bioinformatics.pdf

COBRA 2019-2023
COBRA report_MA_Bioinformatics.pdf

Educational quality at university level

• Consult the documents on educational quality available at university level.

More information?

• More information on the educational quality at KU Leuven
• More information on the available documents