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Faculty
Faculty of Medicine
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Scope of studies and length
120 ECTS credits, 2 years |
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Qualification awarded
Master in Health Sciences |
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Application deadline*
1 May / 1 July |
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Language
English |
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Tuition fee per year*
5 538 € |
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Start of studies
1 September
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City
Vilnius |
*The tuition fee is aligned with the national standard tuition fee and is therefore subject to change.
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The Systems Biology Master’s programme is developed in collaboration with the Faculty of Medicine, Life Sciences Center, and the Faculty of Mathematics and Informatics. This interdisciplinary Master’s degree programme prepares students to perform real-world work in rapidly developing fields including, but not limited to, biological systems modelling, bioengineering, synthetic biology, bioinformatics, neurobiology and data analysis. It is ideal for current and future biologists who wish to take advantage of the most powerful statistical models and programming tools, to produce quantifiable results in their field of choice.
Programme structure
| Subjects of study |
Credits |
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Semester 1 Autumn |
| Compulsory Courses |
25.0 |
| Data Mining |
5.0 |
| Genomics |
10.0 |
| Multivariate Statistics with R |
5.0 |
| Programming for Biological Data Analysis |
5.0 |
| Optional Courses |
5.0 |
| Essentials of Biology: from Cell to Human |
5.0 |
| GNU/Linux Type Operating Systems |
5.0 |
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Semester 2 Spring |
| Compulsory Courses |
25.0 |
| Epigenomics |
5.0 |
| Mathematical Modeling |
10.0 |
| Science Forum I |
5.0 |
| Transcriptomics |
5.0 |
| Optional Courses |
5.0 |
| Health Informatics |
5.0 |
| Molecular Mechanisms of Aging and Rejuvenation Technologies |
5.0 |
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Semester 3 Autumn |
| Compulsory Courses |
25.0 |
| Neurobiology |
10.0 |
| Proteomics |
5.0 |
| Science Forum II |
5.0 |
| Systems Biology |
5.0 |
| Optional Courses |
5.0 |
| Digital Image Processing |
5.0 |
| Mathematical Physiology |
5.0 |
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Semester 4 Spring |
| Compulsory Courses |
30.0 |
| Master Final Thesis (Study field: Medical Technology) |
30.0 |
Key Learning Outcomes
- Knowledge cell structure and behavioural patterns at the molecular level and the functions of human organs and systems and the mechanisms of physiological regulation
- Ability to analyse, manage and model data from the field of systems biology with the aim of developing new technologies
- Ability to select an appropriate modelling strategy for a given biological domain or problem, and the ability to set-up as well as lead projects for fundamental or applied research, with the aim of developing new technologies in order to solve any arising issues
- Ability to gather and analyse information on research related to systems biology with a critical approach, and to carry out a technological observations
- Knowledge and the application of modern research methods in genetics, epigenetics, transcriptomics, proteomics and neurobiology
- Ability to interpret mathematical models describing the evolutionary processes of biological systems
- Comprehension of advanced data processing and programming techniques
- Ability to perform practical calculations using modern high-performance open computing platforms
- Ability to describe the evolutionary processes of biological systems in a mathematical language
- Ability to perform practical and theoretical work in systems biology, in accordance with the deadlines and the bioethics requirements
- Summarising skills that enabling them to communicate in a clear manner with specialists from other fields or the public about professional projects, as well as about work results or the results of tasks
- Ability to work autonomously and as a part of a multidisciplinary team, as well as to act honestly and according to ethical obligations
- Ability to critically analyse their own professional practices with a view to improving them
Programme Specific Requirements
Requirements:
- Completed university bachelor’s degree studies in medicine or medical technology field of the life sciences study field group, health sciences study field group, bioinformatics or informatics engineering field of the informatics study field group, applied mathematics or biostatistics field of the mathematical sciences study field group, bioengineering field of the engineering sciences study field group, biotechnology field of the technological sciences study field group. In other cases, the approval of the Systems Biology study programme committee is necessary.
- Scientific essay on one of the topics provided by the study programme committee. Topics and instructions for the essay are available here.
In addition, all applicants have to fulfil the general admission requirements.
Why choose this programme?
- An interdisciplinary programme that prepares highly-qualified scientists for a professional career
- Rewarding programme structure that introduces future life scientists to powerful statistical models and information technologies
- A forward-looking curriculum that equips scientists for leadership roles in rapidly emerging fields
- Leading faculties – the courses are taught by faculty members with a breadth and depth of expertise and experience in private and public institutions
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What comes after?
- The Systems Biology programme graduates can find job positions in both the public (universities, health care institutions, research institutes) and private (biotechnology and pharmaceutical companies) sectors.
- These specialists can also be attractive in fields where science, studies and business are integrated.
- Students may also choose to continue their career through PhD studies.
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* Study fee might change
