KU Leuven - Faculty of Bioscience Engineering

MSc in Bioinformatics

KU Leuven - Faculty of Bioscience Engineering
En Leuven (Belgium)
  • KU Leuven - Faculty of Bioscience Engineering

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Tipología Master
Lugar Leuven (Belgium)
Inicio Septiembre 2020
  • Master
  • Leuven (Belgium)
  • Inicio:
    Septiembre 2020

Carry out all aspects of bioinformatics and learn how to formulate biologically relevant questions with this MSc in Bioinformatics, organized and offered by the prestigious KU Leuven, that Emagister.co.uk has added to its educational catalogue.

This interdisciplinary two-year programme focuses on acquiring basic background knowledge in diverse disciplines belonging to the field of bioinformatics, including statistics, molecular biology and computer science. You will also gain expert knowledge in the field of bioinformatics, programming skills and engineering skills.

The 120-credit programme consists of a reorientation package (one semester), a common package (two semesters) and a thesis. It is embedded in a strong bioinformatics research community in KU Leuven, who monthly meet at the Bioinformatics Interest Group. Bioinformatics research groups are spread over the Arenberg and Gasthuisberg campus and are located in the research departments of Microbial and Molecular Systems (M2S), Electrical Engineering (ESAT), Human Genetics, Microbiology and Immunology (REGA), Cellular and Molecular Medicine, Chemistry and Biology. Several of these bioinformatics research groups are also associated with the Flemish Institute for Biotechnology (VIB).

Click on our website Emagister.co.uk in order to find all the information related to the course. We will inform you without any obligation.

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Bioinformaticians find careers in the life sciences domain in the broadest sense: industry, the academic world, health care, etc. The expanding need for bioinformatics in biological and medical research ensures a large variety of job opportunities in fundamental and applied research. 60% of our graduates start a PhD after graduation.

Requisitos: All applicants who have not obtained a previous diploma in a programme taught in English in Australia, English-speaking Canada, the Caribbean Islands, Ireland, New Zealand, South Africa, the United Kingdom and the United States of America must submit a certificate proving their proficiency in English. Students should present an English proficiency level of at least B2, with scores of at least 18/30 (TOEFL) or 6/9 (IELTS) on each of the components tested (reading, writing, speaking, listening).



Leuven (Belgium)
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Kasteelpark Arenberg 20, 3001


Sep-2020 Matrícula abierta

¿Qué aprendes en este curso?

GCSE Mathematics
Machine Learning
Omics Data
General public

Programa académico

Learning outcomes Master of Bioinformatics

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.