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Faculty
Faculty of Physics |
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Scope of studies and length
120 ECTS credits, 2 years |
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Qualification awarded
Master in Physical 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
6 100 € for non-EU students
5 538 € for EU students |
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Start of studies
1 September
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City
Vilnius |
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During the four semesters of their studies, students will have hands-on instruction in parallel computing methods for scientific applications, computational optimisation approaches and artificial intelligence as compulsory courses. In addition, they can choose from a range of theoretical physics and astrophysics courses, which include mathematical modelling, non-local mathematical physics, physical kinetics, spectrometry, data mining, star atmospheres, advanced statistical physics, response theory, cosmology, quantum theory of atoms and molecules, quantum information, low-temperature physics, quantum thermodynamics and the physics of galaxies. For, every semester students join research groups for practice and for gaining experience in research.
Programme structure
| Subjects of study |
Credits |
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Semester 1 Autumn |
| Compulsory Courses |
15.0 |
| Nonlocal Mathematical Physics |
5.0 |
| Scientific Research Work I/III p. |
10.0 |
| Optional Courses |
15.0 |
| Atmosphere of Stars |
5.0 |
| Data Analysis Methods |
5.0 |
| Evoliution of Stars |
5.0 |
| Methods of Parallel Computations in Physics |
5.0 |
| Modelling of Stochastic Processes |
5.0 |
| Numerical Models of Physical Kinetics |
5.0 |
| Quantum Field Theory I/II p. |
5.0 |
| Synergetics |
5.0 |
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Semester 2 Spring |
| Compulsory Courses |
15.0 |
| Quantum Statistical Physics |
5.0 |
| Scientific Research Work II/III p. |
10.0 |
| Optional Courses |
15.0 |
| Astrobiology |
5.0 |
| Astrospectroscopic Instruments and Methods |
5.0 |
| Concepts of Molecular Modeling |
5.0 |
| Physics of Galaxies |
5.0 |
| Quantum Field Theory II/II p. |
5.0 |
| Quantum Information and Cryptography |
5.0 |
| Solid State Theory |
5.0 |
| Theory of Atoms |
5.0 |
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Semester 3 Autumn |
| Compulsory Courses |
15.0 |
| Scientific Research Work III/III p. |
15.0 |
| Optional Courses |
15.0 |
| Analysis of Astrospectroscopic Data |
5.0 |
| Artificial Intelligence |
5.0 |
| Classical and Quantum Molecular Dynamics |
5.0 |
| Cosmology |
5.0 |
| Low Temperature Physics |
5.0 |
| Non-equilibrium Statistical Physics |
5.0 |
| Open Problems in Astrophysics |
5.0 |
| Selected Topics in Astrophysics |
5.0 |
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Semester 4 Spring |
| Compulsory Courses |
30.0 |
| Master Final Thesis (Study field: Physics) |
30.0 |
Key Learning Outcomes
- Expertise in optimisation and automation including artificial intelligence
- Expertise in supercomputing
- Expertise in advanced mathematical/theoretical physics
Programme Specific Requirements
- Completed university bachelor’s degree studies in physics field of the physical sciences study field group or materials technology of the technological sciences study field group or other studies closely related to the aforementioned fields.
- In the diploma supplement:
- No less than 60 per cent of the volume of course units taken shall be in the fields of physics, mathematics, chemistry, materials technology, computing; the cumulative grade point average of these course units shall be no less than 60 per cent of the maximum possible grade; all course units must be passed (positively assessed).
- Additional points shall be awarded for scientific publications supported by bibliographic links and presentations in scientific conferences in the fields related with the study programme.
- The candidates meeting the aforementioned criteria are invited to the remote motivational interview. During the interview, the candidate’s determination to study in a master’s degree programme based on science is evaluated. If the interview is evaluated negatively, the candidate is not admitted to the study programme.
In addition, all applicants have to fulfil the general admission requirements.
Why choose this programme?
- The present technologies of multi-scale supercomputing involve a broad range of problems, which require specialists with an original and creative mindset reinforced by the scientific theoretical tools of material science. Our programme is designed to prepare such specialists.
- This is achieved by learning the latest “unfinished” subjects of theoretical physics and by practising scientific research interfaced with supercomputing and emerging quantum computing.
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What comes after?
- Our graduates are welcomed in strategical positions in various companies, including roles relating to data mining and analysis, decision-making and optimisation.
- Positions in financial organisations, public administration and international businesses.
- Some of our students join academic and research institutions worldwide, for a guaranteed career in an academic area.
- Software development in R&D companies.
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