Basic information
Study programmeMathematics
Higher Education InstitutionDaugavpils University
Study fieldPhysics, Material Science, Mathematics, and Statistics
All data
Code of the study programme in accordance with the Latvian Education Classification51460
EQF/LQF Level8
Study Programme TypeDoktora studijas (doktora grāds), īstenojamas pēc maģistra vai profesionālā maģistra grāda ieguves vai kā turpinājums izglītības programmai ar kodu 49. Studiju ilgums pilna laika studijās trīs–četri gadi
Study programme (short name)Doctoral study programme
Thematic groupMatemātika un statistika
ISCED code0541; 0542
ISCEDMatemātika un statistika
Credit points124
Degree to be acquiredDoctoral degree Doctor of Science (Ph.D.) in Natural Sciences
Qualification to be obtained-
Study type and formFull time studies
Study lenght3 years
Languagelatvian; english
Licence information
Licence number -
Licence date
Licenced till
Accreditation information
Accreditation page numberNetiek izsniegta
Accreditation date05.06.2024
Accreditation duration (in years)6
Accreditation till06.06.2030
Results
Knowledge:
1. Understand the topical scientific theories and modern mathematical research methods in the subfield of differential equations.
2. Are familiar with the organization of regional and international scientific research and the ways of improving one's qualifications.

Skills:
3. Able to independently evaluate and choose suitable scientific research methods, contribute to expanding the frontier of knowledge or provide a new understanding of existing knowledge and its application in practice, including by publishing scientific publications (knows how to choose publication forms and methods for timely and effective implementation of the results of scientific work).
4. Able to communicate both orally and in writing about own scientific field to the wider community of scientists and society in general.
5. Able to independently improve own scientific qualification, implement scientific projects, obtaining international science-qualifying achievements.

Competence:
6. Carrying out independent, critical analysis, synthesis and evaluation, are able to solve important research or innovation tasks using mathematical modelling methods.
7. Are competent to propose the research idea, plan and structure independently, as well as defend idea in discussions without losing the ability to critically perceive other opinions.
8. Are able to manage scientific projects, including in an international context, aware of their responsibility and moral obligations to involved organizations and individual researchers.
Documents
DocumentDocument typeLanguage
Expert / Experts joint reportExpert / Experts joint reportenglish
Self-evaluation reportSelf-evaluation reportenglish
Self-evaluation reportSelf-evaluation reportlatvian
History of study programme