Overview
Planned subjects include Asymptotic Statistics, Applied Algebra, Nonlinear Optimization and Mathematical Methods with Python, R and Matlab. 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
- Start
- 1 September 2026
- 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 includes statistics, applied algebra, optimisation, mathematical modelling and work with Python, R and Matlab.
Planned first-semester subjects
- Asymptotic Statistics
- Life Insurance Mathematics
- Modern Statistics and Data Science
- Applied Algebra
- Nonlinear Optimization
- Mathematical Methods with Python, R and Matlab
Programme focus
- Statistics
- Data science
- Applied algebra
- Optimisation
- Mathematical modelling
- Programming with Python, R and Matlab
Skills to be developed
- 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.