Overview
Current study areas include modern statistics and data science, nonlinear optimization, mathematical methods with Python, R and MATLAB, and mathematical foundation work. The 916/1000 figure is an admission competition score, not a programme grade.
Programme facts
- Institution
- University of Latvia
- Programme
- Mathematics and Data Science
- Programme type
- Academic Master’s Programme
- Duration
- 2 years
- Semesters
- 4
- Credits
- 120 ECTS
- Language
- English
- Period
- September 2026 — present
- Degree
- Master of Natural Sciences in Mathematics
Admission result
- 916/1000
- Admission competition score for the Master's programme in Mathematics and Data Science
This is an admission competition score, not a programme grade.
Data Science specialisation
The academic Master's programme is developing mathematical, statistical and computational methods for data analysis. Current study areas include modern statistics and data science, nonlinear optimization, mathematical methods with Python, R and MATLAB, and mathematical foundation and bridging work.
Current study areas
- Modern Statistics and Data Science
- Nonlinear Optimization
- Mathematical Methods with Python, R and MATLAB
- Mathematical foundations and bridging studies
Programme focus
- Modern statistics and data science
- Nonlinear optimization
- Mathematical and computational methods
- Mathematical foundations
- Programming with Python, R and MATLAB
Developing skills
- Mathematics
- Data science
- Statistics
- Mathematical modelling
- Python, R and MATLAB
Links to work and other programmes
Finance Management provides financial problems and practical context. Mathematics and Data Science adds mathematical, statistical and computational methods. Financial Economics keeps the studies connected to economics and finance.