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Systems Biology - EuSYSBIO – (M.Sc.)
KTH Royal Institute of Technology
Erasmus Mundus Master's Courses
| Application Deadline: | November 30 | ||
| Annual Tuition Fee: | ≈ € 4,000 - ≈ € 8,000 (non-EEA) | ||
| Location: | Stockholm / Sweden / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 24 months | Start Date: | August |
| Educational Form: |
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| Education Variants: |
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| Credits (ECTS): | 120 | ||
| Languages: | English | ||
Location of KTH Royal Institute of Technology
The Erasmus Mundus master's programme in Systems Biology (euSYSBIO) is a cooperation between KTH Royal Institute of Technology in Sweden (KTH), Instituto Superior Tecnologico in Portugal (IST) and Helsinki University of Technology in Finland (TKK). It is a two-year Master's programme including compulsory mobilty for the students. Students enter at KTH or TKK and continue in the second year at one of the other two institutions.
The euSYSBIO programme offers education of high international standard as well as cultural experience from two different European countries and a double degree from two universities.
Students from any country are welcome to apply. A number of Erasmus Mundus scholarships are available.
Systems biology is defined as the study of the interactions between the components of a biological system, and how these interactions give rise to the function and behaviour of that system. The origins of systems biology are investigations of the concerted responses of single cells to drugs and other environmental stresses.
This was (and is) motivated by the important societal problem of microbial resistance, and the loss of effectiveness of most drugs over time. The interplay between drugs, toxins and genetic variability, in single cells and in cell lines, remain central concerns of systems biology and bioinformatics until this day. More specific research areas include (most forms of) cancer and (most) neurological and psychiatric disorders, both of which are among the most important health issues facing Europe´s citizens today and tomorrow.
The aim of euSYSBIO programme is to train professionals who can cope with the expected future demands of a systems biology specialist. Due to the rapid progress within the field, learning to use the current tools and methods for handling data in bioinformatics applications is not yet enough. New measurement techniques are being developed, giving rise to new forms of data (the current new technique is high-throughput sequencing), with ever-increasing quantities. The euSYSBIO programme gives the students a solid back-ground in methodological sciences and hands-on experience in measurement modern measurement technologies, thus providing the students the means for handling large quantities of data and using the information to make valid biological hypotheses, and then to test them.
Career prospects
The aim of euSYSBIO is to train professionals, researchers and entrepreneurs, on a fast-evolving systems biology field. After finishing the programme, the students will be competent in designing and implementing mathematical and statistical models of complex computational systems, and have the necessary understanding of the underlying biology in order to apply and interpret computational methods in the context of systems biology. During euSYSBIO studies, the student will work within research groups of at least one leading European university. This will give student a valuable possibility to interact with professors, researchers and scholars working on advanced systems biology research. Perhaps even more importantly, internships in European research groups provide a highly desired opportunity to integrate students into and contribute to the European research network on systems biology.
Contents
The euSYSBIO programme has two first-year entry points, one at KTH Royal Institute of Technology, and one at TKK Helsinki University of Technology (Espoo, Finland). The euSYSBIO programme has three second year exit points, again one each at KTH and TKK, and a third at IST Instituto Superior Técnico (Lisbon, Portugal).
Students enter at KTH or TKK, and then continue in the second year at one of the other three institutions.
The programme includes an annual winter conference held at IST, with attendance by all students, many lecturers and researchers from KTH, TKK and IST, and selected invited international lecturers.
Students progress from the first to the second year after having passed first-year courses, and after having passed a comprehensive oral exam. This exam is taken jointly by students enrolling at KTH and at TKK. Master theses are supervised jointly by faculty at the institution where the students are enrolled the first year, and by faculty at the institution where the students are enrolled the second year.
Students receive double degrees, i.e. a degree from the institution where they are enrolled the first year, and a degree from the institution where they are enrolled the second year.
The first year of euSYSBIO is organized by TKK or KTH and include courses that focus on fundamental methodological aspects, as well as the basics on computational systems biology and courses in experimental techniques in systems biology. The first year of euSYSBIO includes only mandatory courses.
The second year courses is planned so that the first year courses can be taken in either at TKK or KTH, and focus on areas where the respective universities are particularly strong in research.
The euSYSBIO programme ends with a master thesis, jointly supervised by the universities where the student was affiliated the first and the second year.
The first year of euSYSBIO is organized by TKK or KTH and include courses that focus on fundamental methodological aspects, as well as the basics on computational systems biology and courses in experimental techniques in systems biology. The first year of euSYSBIO includes only mandatory courses.
The second year courses is planned so that the first year courses can be taken in either at TKK or KTH, and focus on areas where the respective universities are particularly strong in research.
Year 1 - KTH
* Biomedicine for Engineers (6 cr)
* Mathematical Modelling of Biological Systems (9 cr)
* Applied Bioinformatics (7.5 cr)
* Gene Technology and Molecular Biology (7cr)
* Quantitative Systems Biology
* Omic Data and Systems Biology
* Algorithmic Bioinformatics
* Structural Biology
Year 1 - TKK
* Machine Learning: Basic Principles
* Computational genomics
* Modelling biological networks
* Computational systems biology
* Biology for Methodological Scientists, modules I and II
* Human genetics
* Language course (compulsory degree requirement),
* Machine Learning: Advanced Probabilistic Methods
* Information visualization
* Special Course in Bioinformatics I
* Measurement Techniques for Bioinformatics
* Biology for Methodological Scientists, modules III and IV
* Genomes
The second year courses are planned so that the first year courses can be taken in either at TKK or KTH, and focus on areas where the respective universities are particularly strong in research.
The euSYSBIO programme ends with a master thesis, jointly supervised by where the student was affiliated the first year and the second year.
Courses year 2 - TKK:
The second year studies at TKK further strengthen the methodological knowledge of machine learning and bioinformatics.
Advanced module TKK/TKK University
* Special Course in Computer and Information Science I
* Machine Learning: Basic Principles
* Modelling biological networks
* Special Course in Bioinformatics II
* High-Throughput Bioinformatics
Courses year 2 - KTH
KTH offers two tracks for the second year of euSYSBIO, one aimed at "Science for Life Labs", with a strong participation of KTH Biotechnology and especially data-generation, and one in Computational Neuroscience.
The track Science for Life Labs consists in (the course Proteomics is under revision and new course number has not yet been assigned):
* Mandatory courses,
* Molecular Biomedicine,
* Proteomics,
Elective courses
* Algorithms and Complexity,
* Artificial Intelligence,
* Robotics and Autonomous Systems,
* Problem Solving and Programming under Pressure,
* Probability Theory,
The track Computational Neuroscience aims to prepare students to complete a masters thesis in computational neuroscience at the department of Computational Biology at KTH or within computational cognitive neuroscience at Stockholm Brain Institute Karolinska Institutet/KTH, and consists in
Mandatory courses
* Neuroscience Part 1: from Ion Channel to Behaviour
* Artificial Intelligence
* Modelling of Processes in Cell Biology
Elective courses
* Mathematical Modelling of Biological Systems
* Modelling of processes in cell biology
* Computational Modelling in Current Neuroscience
* Introduction to cognitive neuroscience
Courses year 2 - IST
Mandatory courses:
* Advanced Experimental Techniques and Approaches
* Seminars
* Combinatorial Algorithms for Computational Biology
Optional courses
* Molecular and Cellular Microbiology
* Cell and Tissue Engineering
* Structural Biology
* Nanobiotechnology
* Chemometrics
* Bioengineering and Market
* Functional Genomics and Bioinformatics
* Algorithms and Optimization
* Machine Learning
Master´s thesis
The master thesis comprises 30 ECTS, and is normally carried out in the second half of the second year of the course. Students are supervised and examined by faculty of the institution where they were affiliated the first year, and where they were affiliated the second year.
Topics of master theses are suggested by faculty where the students are affiliated the second year. The master thesis may be carried out either directly in a research laboratory at that university, or at a research laboratory of another university, or in industry, in accordance with the rules in force at the institution where the students are enrolled the second year.
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Requirements
To qualify for the euSYSBIO programme applicants need to fulfill the admission requirements based on previous studies, English proficiency and documentation. Please note that the admission requirements can vary for each Erasmus Mundus Master’s Programme.
1. Previous studies: A completed Bachelor's degree
Applicants must have completed a Bachelor’s degree encompassing a minimum of 180 ECTS credits or equivalent academic qualifications from an internationally recognized university and have taken the following subjects: multivariate calculus, linear algebra and computer science including programming.
Conditional acceptance
Students in their final year of undergraduate education may also apply and if qualified, receive a conditional offer. If you have not completed your studies, please include a written statement from the degree administration office (or equivalent department), confirming that you are enrolled on the final year of your education and giving your expected completion date. If you receive a conditional offer, you should present your degree certificate to the Admissions Office before enrollment at the latest. Applicants following longer technical programmes and who have completed courses equivalent to an amount of 180 ECTS, will be considered on a case-by-case basis.
2. Language requirements: Proof of English proficiency
Applicants must provide proof of their English language proficiency, which is most commonly established through an internationally recognized test.
IELTS
A minimum overall mark of 6.5 is required, with no section lower than 5.5 (only Academic Training accepted). IELTS-tests are verified online by KTH admissions office, sending a photocopy of your test together with your application documents is therefore sufficient.
TOEFL
English test results from TOEFL must be sent directly from the ETS test centre to KTH Admissions Office (institution code 7966, department code 99). Examinee score reports or photocopies are not accepted. Please also note that neither TOEIC nor institutional TOEFL are accepted as sufficient proof of English proficiency.
The following TOEFL test scores are accepted as a minimum:
* Paper-based test: total result of 580 (written test, grade 4,5)
* Internet-based test: total result of 92 (written test, grade 22)
University of Cambridge/ University of Oxford Certificates
* Certificate in Advanced English (minimum grade C).
* Certificate of Proficiency (minimum grade C).
* Diploma of English Studies (minimum grade C).
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.0 |
| TOEFL Paper-based: | 580 |
| TOEFL Internet-based: | 92 |
Ask a Question
You can contact Systems Biology to ask a question about Systems Biology - euSYSBIO at KTH Royal Institute of Technology.
Relevant Links
- Higher Technical Institute (IST), Portugal
- Helsinki University of Technology (TKK), Finland
- EuSYSBIO website
- University website
- Information about programme
- City website
- Study in Stockholm
- Information on Stockholm
- Study in Sweden
- Sweden's community for international students
- Student experiences about Sweden - STeXX.eu
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