Study programme	Mathematician Statistician
Higher Education Institution	University of Latvia
Study field	Physics, Material Science, Mathematics, and Statistics

Code of the study programme in accordance with the Latvian Education Classification	42460
EQF/LQF Level	6
Study Programme Type	Pirmā cikla augstākās izglītības programma bakalaura grāda un sestā līmeņa profesionālās kvalifikācijas ieguvei, īstenojama pēc vismaz vidējās izglītības ieguves
Study programme (short name)	First cycle (professional bachelor’s) study programme
Thematic group	Matemātika un statistika
ISCED code	0541; 0542
ISCED	Matemātika un statistika
Credit points	240
Degree to be acquired	Professional bachelor's degree in Statistics Mathematics
Qualification to be obtained	Senior Data Analysis Specialist
Study type and form	Full time studies
Study lenght	4 years
Language	latvian

Licence number	-
Licence date
Licenced till

Accreditation page number	Netiek izsniegta
Accreditation date	04.10.2023
Accreditation duration (in years)	6
Accreditation till	05.10.2029

Knowledge:
1. demonstrate basic knowledge in the field of mathematics and information technology, demonstrate the understanding of key concepts and legal relationships in the field of mathematics science;
2. demonstrate specialised knowledge in mathematics, statistics and mathematical modelling in accordance with the knowledge required for the professional standard "Senior Data Analysis Specialist";
3. demonstrate the underpinnings of economic theory, organisation of business processes, national legal processes, national civil protection and environmental protection issues.

Skills:
4. mathematically formulate statistical problems and task guidelines and develop appropriate mathematical and statistical models;
5. obtain, select, process and analyse information, mathematically export and justify the findings, present the results obtained both orally, in writing, in the official language and in one foreign language, correctly use the terminology of the sector;
6. working with the information technologies needed by the statistical mathematician is the necessary digital literacy.

Competences:
7. focus on key mathematics and statistical models and methods, advise industry, identify the boundaries of their knowledge, plan and implement their qualifications;
8. plan and carry out sector-specific theoretical and practical studies, analyse their results, use them competently, address both the relevant challenges of the mathematics sector and the problems of social and natural sciences, explain and interpret the results obtained, take decisions;
9. carry out independent scientific work, participate in the development of the professional field of statistical mathematics, recognise and respect the principles of academic integrity, understand professional ethics, assess the impact of their professional activities on the environment and society.