7 Master's degrees in Natural Sciences & Mathematics in Latvia
Chemistry
The Master's study program in Chemistry from University of Latvia provides students with modern, in-depth theoretical knowledge, as well as practical and research skills in the main areas of chemistry and one selected sub-discipline.
Chemistry and Chemical Technology
The Chemistry and Chemical Technology program at Riga Technical University trains specialists in chemistry and chemical technology intending to work in manufacturing and trade companies, quality control and research laboratories, scientific institutions dealing with various chemicals, biotechnology products and materials
Mathematics and Data Science
The University of Latvia offers a Master of Natural Sciences in Mathematics and Data Science, designed for a duration of 2 years. This full-time programme equips students with advanced skills in mathematics, statistics, and data science, preparing them for diverse career opportunities in various sectors.
Material Science and Nanotechnologies
The academic master’s study programme Material Science and Nanotechologies at the Riga Technical University focused on the development of new materials and the use of modern technologies offers the acquisition of higher level technical education based on skills and competencies.
Biostatistics
The Biostatistics at Riga Stradins University will give students access to well-equipped auditoriums and modern computer classrooms with the latest logistical resources, IT equipment, statistical software (R, SAS, IBM SPSS Statistics, STATA), audio and video equipment, interactive whiteboards, as well as a library with extensive research databases from around the world.
Physics
The aim of the master’s study programme Physics from University of Latvia is to prepare highly qualified and internationally competitive master-level physics specialists for the labour market.
Epidemiology and Medical Statistics
Students in the master of Epidemiology and Medical Statistics programme from University of Latvia will acquire theoretical and practical knowledge in competence to collect healthcare data, including large volumes of administratively generated and digital data in accordance with internationally accepted requirements.