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Bioinformatics and Systems Biology: Bioinformatics


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Vrije Universiteit Amsterdam


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Bioinformatics and Systems Biology: Bioinformatics at Vrije Universiteit Amsterdam

Discover which biomolecules make the difference between health and disease

 

Are you interested in unravelling this by using machine learning, sequence analysis, computational models and/or systematic experiments? Then the Bioinformatics and Systems Biology Master at VU Amsterdam is the programme for you.


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Bioinformatics and Systems Biology: Bioinformatics

Understand life and health at a molecular level

 

Bioinformatics and Systems Biology is a joint degree programme from VU Amsterdam and the University of Amsterdam (UvA). Courses are taught at both universities. VU and UvA jointly issue a degree to graduates. As a Bioinformatics and Systems Biology student in Amsterdam, you benefit from the expertise, networks and research projects at both universities and affiliated research institutes.

 

The programme guarantees that, upon successful completion of the study, you can communicate effectively with your colleagues, irrespective of your focus on experimental or computational disciplines. You will get a basic introduction to molecular cell biology, biomathematics, biostatistics and programming.

 

During the MSc programme, you can choose between two specialisations, Bioinformatics or Systems Biology, or choose both.

 

Bioinformatics deals with large-scale data analysis, like DNA-sequencing experiments. Programming, algorithms and machine learning are important elements. Bioinformatics is extensively used within the field of biomedicine, but also in many other areas of molecular biology. 

 

Systems Biology encompasses modelling large biological networks, in combination with experiments to probe the system. Mathematical modelling, structured large-scale experiments and statistical analysis are important elements in the specialisation. Systems Biology is extensively used in bioengineering and biomedicine.

 

Excellent international reputation

The programme has an excellent international reputation. Research groups with extensive experience in a broad range of experimental and theoretical research lead the programme.

 

Integrated programme

The programme truly integrates a Bioinformatics and Systems Biology perspective. Your compulsory courses will tackle research problems within both fields. You may opt to take elective courses with an in-depth focus on a single discipline, such as molecular biology or machine learning.

You will study current issues, challenges and opportunities in both topics.  There are ample opportunities for interesting and challenging internships, in hospitals (such as in oncology and clinical genetics), at biotech companies, at seed breeding companies, in the pharmaceutical industry, in data science and, of course, at bioinformatics and systems biology groups at universities.

 

Supervision 

You will be assigned a mentor who will support you during the entire programme. Moreover, one of the staff members will supervise your practical coursework and internships.

 

Summary

In the Bioinformatics specialisation track, you will follow three additional profile courses in which you will learn how to write algorithms that can align sequences, design complex bioinformatics workflows to process molecular profiling data, predict how protein folds given only their sequence, simulate protein molecules, and apply machine learning effectively on large-scale molecular profiling datasets in biomedicine.

These profile courses are compulsory for the Bioinformatics specialisation:

  • Algorithms in Sequence Analysis
  • Structural Bioinformatics
  • Bioinformatics for Translational 

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Bioinformatics and Systems Biology: Bioinformatics

Skilled in scientific research

 

If you successfully complete the programme, you will be in high demand. It is likely you’ll already find a job before you graduate. And in that job, you will extensively use the skills you acquired during the MSc programme.

 

Choose to work in the field of bioinformatics and systems biology like 60% of our graduates do. Or,  find a suitable job in closely related areas, such as biotechnology, data science, healthcare or finance. 

 

  • More than half of our students (60%) continue in scientific research as a Ph.D. student. Thanks to technological advances, such as next-generation sequencing and the development of personalised medicine, your career prospects will only improve as you develop.

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Bioinformatics and Systems Biology: Bioinformatics

I have an international degree

 

For admission to the Bioinformatics and Systems Biology Master’s programme it is required to hold at least a Bachelor’s degree from an accredited research university, with at least three full years of academic study amounting to a minimum of 180 ECTS or equivalent. The programme is aimed at science bachelor graduates (chemistry, biology, biotechnology, biomedical sciences, artificial intelligence, computer science, mathematics, physics or similar) with a strong interest in biological research topics and computational (quantitative) methods. The master requires proficiency in three key subjects: Mathematics, Programming, and (Molecular) Biology. If you have had prior training in all three key subjects you are directly admissible, if in two of the three key subjects, your GPA should be at least 6.5 on the Dutch 10 point scale (the VU international office will translate your grades to this scale); if only in one key subject, your GPA needs to be at least 7.0. In all other cases, you will be directed to our pre-master programme, which depending on your prior training and background, consists of a selection of the courses that are listed below.

 

For your admission you are requested to provide:

  • Your Curriculum Vitae
  • A motivation letter of at most one A4. This letter should contain one paragraph on why you would like to enrol into this programme. Most importantly, for each of the three key subjects Mathematics, Programming and Molecular Biology state your proficiency and what you worked on during the MSc. Please clearly indicate which courses, programs or other activities prove sufficient training and background in these subjects.
  • An official transcript of your academic grades, including your GPA.
  • Proof of English proficiency (can also be provided after conditional admission).
  • Thesis (or alternative piece of academic writing)
  • A description of the relevant courses followed and literature used during your previous higher education

 

Minor knowledge gaps in either biology, programming or mathematics will be cared for as an integral part of the master curriculum during the first two compulsory courses (“Fundamentals of Bioinformatics” and “Introduction to Systems Biology”). However, it is strongly advised to select introductory courses during your (current) Bachelor for an optimal transition to the Bioinformatics and Systems Biology Master programme. Depending on your background, take one or several of:

  • Introductory course programming (preferably in Python)
  • Introductory course calculus (and optionally linear algebra; most important are differential equations and matrices)
  • Molecular cell biology, e.g. a book like 'Essential Cell Biology' (Alberts)
  • Introductory course Bioinformatics, like Principles of Bioinformatics
  • Introductory course Systems Biology, like Principles of Systems Biology

 

 

General English language proficiency requirements

VU Amsterdam requires all applicants to take an English test. You can, however, begin your application without having the test results. Exceptions are made for students who have completed their education in Canada, USA, UK, Ireland, New Zealand or Australia.The minimum English language proficiency requirements for admission to this Master's programme are:

  • IELTS: 6.5 overall
  • TOEFL Internet-based test: 92 overall
  • Cambridge Certificate in Advanced English (CAE): A, B, C
  • Cambridge Certificate of Proficiency in English (CPE): A, B, C

 

I have a Dutch university level (WO) bachelor’s degree (VU bachelor's degree, VU premaster or bachelor's degree at another university)

 

For admission to the Bioinformatics and Systems Biology Master’s programme it is required to hold at least a Bachelor’s degree from an accredited research university, with at least three full years of academic study amounting to a minimum of 180 ECTS or equivalent. The programme is aimed at science bachelor graduates (chemistry, biology, biotechnology, biomedical sciences, artificial intelligence, computer science, mathematics, physics comparable with a strong interest in biological research topics and computational (quantitative) methods. The master requires proficiency in three key subjects: Mathematics, Programming, and (Molecular) Biology. If you have received training in  all three key subjects you are directly admissible.  If you have had training in two of the three key subjects, your GPA should be at least 6.5; if you only received training in one of the three key subjects, your GPA needs to be at least 7.0.


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Übersicht der Masterstudiengänge - Vrije Universiteit Amsterdam

 Accounting and Control
 Archaeology: European Archaeology
 Archaeology: Mediterranean Archaeology
 Artificial Intelligence: Cognitive Science
 Arts and Culture: Comparative Arts and Media Studies
 Arts and Culture: Contemporary Art History
 Arts and Culture: Design Cultures
 Bioinformatics and Systems Biology: Bioinformatics
 Bioinformatics and Systems Biology: Systems Biology
 Biomedical Sciences: Immunology
 Biomedical Sciences: Infectious diseases
 Biomedical Sciences: Neurobiology
 Biomedical Technology and Physics
 Biomolecular Sciences: Biological Chemistry
 Biomolecular Sciences: Molecular Bioinformatics
 Biomolecular Sciences: Molecular Cell Biology
 Business Administration: Duisenberg Honours Programme in Corporate Finance
 Business Administration: Financial Management
 Business Administration: Human Resource Management
 Business Administration: International Management
 Business Administration: Leadership and Change Management
 Business Administration: Management Consulting
 Business Administration: Strategy & Organization
 Business Analytics: Optimisation of Business Processes
 Business Analytics: Computational Intelligence
 Business Analytics: Financial Risk Management
 Business Data Science (Research Master)
 Cardiovascular Research
 Chemistry: Analytical Sciences
 Chemistry: Molecular Sciences
 Chemistry: Science for Energy and Sustainability
 Classics and Ancient Civilizations: Classics
 Classics and Ancient Civilizations: Research
 Clinical and Developmental Psychopathology (Research)
 Cognitive Neuropsychology (Research)
 Communication and Information Studies: Dialogue, Health and Society
 Communication and Information Studies: Multimodal Communication
 Computational Science
 Computer Science: Big Data Engineering
 Computer Science: Computer Systems Security
 Computer Science: Foundations of Computing and Concurrency
 Computer Science: Internet and Web Technology
 Computer Science: Parallel Computing Systems
 Computer Science: Software Engineering and Green IT
 Culture, Organization and Management
 Digital Business and Innovation
 Drug Discovery and Safety: Computer-Aided Drug Design (CADD)
 Drug Discovery and Safety: Diagnostics and Imaging
 Drug Discovery and Safety: Molecular Pharmacology
 Drug Discovery and Safety: Molecular Toxicology
 Drug Discovery and Safety: Synthesis of Drugs
 Earth Sciences: Earth and Climate
 Earth Sciences: Geology and Geochemistry
 Earth Sciences: Global Environmental Change and Policy
 Ecology
 Econometrics and Operations Research: Climate Econometrics
 Econometrics and Operations Research: Econometric Theory
 Econometrics and Operations Research: Econometrics and Data Science
 Econometrics and Operations Research: Financial Econometrics
 Econometrics and Operations Research: Financial Engineering
 Econometrics and Operations Research: Marketing Data Science
 Econometrics and Operations Research: Operations Research Theory
 Econometrics and Operations Research: Quantitative Economics
 Econometrics and Operations Research: Quantitative Logistics
 Economics: Development Economics
 Economics: Global Challenges
 Economics: International and Macroeconomic Policy
 Economics: Labour and Health
 Economics: Market Analytics
 Economics: Public Policy
 Entrepreneurship (Joint Degree UvA-VU)
 Environment and Resource Management: Ecosystem Services and Biodiversity
 Environment and Resource Management: Energy and Climate
 Environment and Resource Management: Global Food Challenges
 Environment and Resource Management: Global Sustainable Futures
 Environment and Resource Management: Global Water Challenges
 Finance: Duisenberg Honours Programme in Finance and Technology
 Finance: Duisenberg Honours Track Quantitative Risk Management
 Genes in Behaviour and Health (Research)
 Global Health (Research)
 Health Sciences: Health Policy
 Health Sciences: Infectious Diseases and Public Health
 Health Sciences: International Public Health
 Health Sciences: Nutrition and Health
 Health Sciences: Prevention and Public Health
 Heritage Studies
 History: Global History and International Studies
 History: Medical and Health Humanities
 History: Religion and Society
 Human Movement Sciences: Sport, Exercise & Health (research)
 Human Movement Sciences: Sport, Exercise and Health
 Humanities: Critical Studies in Art and Culture (Research)
 Humanities: Global History (Research)
 Humanities: Linguistics (Research)
 Humanities: Literature and Contested Spaces (Research)
 Humanities: Philosophy (Research)
 Hydrology
 Information Sciences
 International Business Law: Climate Change and Corporations
 International Business Law: Commercial Transactions
 International Business Law: Markets and Behavior
 International Crimes, Conflict and Criminology
 Law and Politics of International Security
 Law: European and International Law
 Law: International Migration and Refugee Law
 Law: International Technology Law
 Linguistics: Language Consultancy and Linguistic Documentation
 Linguistics: Text Mining
 Literary Studies: English Literature in a Visual Culture
 Management, Policy Analysis and Entrepreneurship in Health & Life Sciences: Community-based Health Technologies
 Management, Policy Analysis and Entrepreneurship in Health & Life Sciences: Health & Life Sciences-based Communication
 Management, Policy Analysis and Entrepreneurship in Health & Life Sciences: Health and Life Sciences-based Management and Entrepreneurship
 Management, Policy Analysis and Entrepreneurship in Health & Life Sciences: Health and Life Sciences-based Policy
 Management, Policy Analysis and Entrepreneurship in Health & Life Sciences: International Public Health
 Marketing
 Mathematics
 Musculoskeletal Physiotherapy Sciences
 Neurosciences (Research Master)
 Oncology
 Parallel and Distributed Computer Systems
 Philosophy: Philosophy of Law and Governance
 Philosophy: Philosophy of Neurosciences
 Philosophy: Philosophy, Bioethics and Health
 Physics and Astronomy: Advanced Matter and Energy Physics
 Physics and Astronomy: Astronomy and Astrophysics
 Physics and Astronomy: Biophysics and Biophotonics
 Physics and Astronomy: Gravitation, Astro- and Particle Physics
 Physics and Astronomy: Science for Energy and Sustainability
 Physics and Astronomy: Theoretical Physics
 Political Science: Democracy and Power
 Political Science: Global Environmental Governance, Sustainability and Climate Change
 Political Science: International Relations, Security and Global Order
 Psychology: Work and Organizational Psychology
 Science, Business & Innovation: Energy and Sustainability
 Science, Business & Innovation: Life and Health
 Social and Cultural Anthropology
 Social Psychology (Research)
 Societal Resilience (Research Master)
 Spatial, Transport and Environmental Economics: Environmental Economics
 Spatial, Transport and Environmental Economics: Real Estate Economics and Finance
 Spatial, Transport and Environmental Economics: Transport Economics
 Spatial, Transport and Environmental Economics: Urban and Regional Economics
 Theology and Religious Studies (Research)
 Theology and Religious Studies: Exploring a Discipline
 Theology and Religious Studies: Interreligious Studies
 Theology and Religious Studies: Peace, Trauma and Religion
 Tinbergen Institute Mphil in Economics
 Transport and Supply Chain Management
    Archaeology
    Artificial Intelligence
    Arts and Culture
    Bioinformatics and Systems Biology
    Biomedical Sciences
    Biomolecular Sciences
    Business Administration
    Business Analytics
    Chemistry
    Computer Science
    Drug Discovery and Safety
    Earth Sciences
    Econometrics and Operations Research
    Economics
    Economics (MPhil)
    Environment and Resource Management
    Finance
    Finance: Duisenberg Honours Programme in Financial Markets & Regulation
    Health Sciences
    History
    Humanities Research Master
    International Business Law: Finance and Behavior
    Linguistics (Research)
    Management, Policy Analysis and Entrepreneurship in the Health and Life Sciences
    Philosophy, Bioethics and Health
    Physics and Astronomy
    Political Science: European Public Policy
    Political Science: International Relations & Transnational Governance
    Psychology: Regulation of Social Behaviour (Research Master)
    Science, Business & Innovation
    Spatial, Transport and Environmental Economics
    Transport & Supply Chain Management



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Hochschule

Vrije Universiteit Amsterdam


Studienort:Vrije Universiteit Amsterdam De Boelelaan 1105
1081 HV Amsterdam
Niederlande
Nord Holland
T  +31 20 59 89898
E  international@vu.nl

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Fakten zum Master

Studienort

Amsterdam

Fachrichtung

Mathematik und Naturwissenschaften

Abschluss

Master of Science

Unterrichtssprache

Englisch

Studienbeginn

Wintersemester - September

Studienform

Vollzeit

2 Jahre Studienzeit

Kosten EU: 2168 / Jahr

Kosten Nicht-EU: 15110 / Jahr

VIELLEICHT AUCH INTERESSANT?

Fakten zum Master

Studienort

Amsterdam

Fachrichtung

Mathematik und Naturwissenschaften

Abschluss

Master of Science

Unterrichtssprache

Englisch

Studienbeginn

Wintersemester - September

Studienform

Vollzeit

2 Jahre Studienzeit

Kosten EU: 2168 / Jahr

Kosten Nicht-EU: 15110 / Jahr

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