Theoretical Physics and Astrophysics

Sukurta: 25 November 2020
Padalinys2x 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
City 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.

 

Why choose this programme?

  • This is the only programme at the Faculty of Physics in which students begin their research activities from the first semester.

  • Programme is ideally suited for those interested in astrophysics, particle physics, and molecular physics. Students gain access to international research environments — including internship opportunities at CERN, European Space Agency, and others.

  • The programme fosters strong competencies in programming, mathematics, and data analysis. Students use modern parallel computing technologies and supercomputing infrastructure, while also exploring the frontiers of quantum computing.

  • The curriculum emphasizes interdisciplinarity and flexibility: students can tailor their studies by either engaging broadly across multiple fields of physics or specializing deeply in one.

  • It is designed to prepare specialists capable of addressing multiscale supercomputing challenges with original and creative thinking, reinforced by theoretical tools drawn from modern physics.

What comes after?

  • Graduates can work in research, theoretical forecasting, information management and computer modelling, in research or high-tech companies.