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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
5 266 € 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
| Course unit title |
ECTS
credits
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| Course unit title |
ECTS
credits
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1 semester
Compulsory courses
Methods of Parallel Computing in Physics
Scientific Research Work I/III
Elective courses
Synergetics
Physical Kinetics
Non Local Mathematical Physics
Methods of Data Analysis
Quantum Field Theory I/II
Instruments and Methods in Astrospectroscopy
Star Atmospheres
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30.0
5.0
10.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
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2 semester
Compulsory courses
Computational Optimization
Scientific Research Work II/III
Elective courses
Astrobiology
Quantum Statistical Physics
Quantum Field Theory II/II
Quantum Information and Cryptography
Theory of Atoms, Molecules and Molecular Compounds
Methods of Spectroscopic Data Analysis
Evolution of Stars
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30.0
5.0
10.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
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3 semester
Compulsory courses
Scientific Research Work III/III
Elective courses
Artificial Intelligence
Galaxy Physics
Classical and Quantum Molecular Dynamics
Non-equilibrium Statistical Physics
Low Temperature Physics
Selected Courses in Astrophysics
Open Problems in Astrophysics
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30.0
10.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
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4 semester
Compulsory courses
Master Thesis
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30.0
30.0
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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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