Academic CentreMathematics and Data Science
Degree to be achieved: Master of Natural Sciences in Mathematics
Duration of studies: 2 years (4 semesters)
Type of studies: Full time
Amount of credits: 80 credit points or 120 ECTS
European Qualifications Framework (EQF) level: Level 7
International Standard Classification of Education (ISCED) level: Level 7
Language of instruction: English
Accreditation: the program is accredited until 05.10.2029.
Tuition fee
EU/EEA/Swiss citizens and their family members; Long Term Resident EU -5400 EUR per Year
Other сountry citizens - 5400 EUR per Year
The "Mathematics and Data Science" study program is designed to offer cutting-edge, technology-based education, cultivating highly skilled specialists proficient in mathematics, statistics, data science, and programming. The study program offers three specialized sub-programs: Data Science, Technology Mathematics, and Pure Mathematics.
Our program collaborates with top-tier experts in Latvia within the fields of mathematics, statistics, and data science. Additionally, we host guest lecturers from international backgrounds and industry professionals, enriching the educational experience with diverse perspectives.
Students are encouraged to engage in exchange programs with numerous Erasmus partner universities, broadening their academic horizons. The curriculum is meticulously crafted to provide a robust foundation for students interested in pursuing doctoral studies or scientific research.
The main goal of the study program is to prepare flexible experts who excel in various industries, pursue advanced studies, and make meaningful contributions to the rapidly evolving fields of mathematics, statistics, and data science.
Career opportunities
Upon completion of the master's study program, graduates possess versatile skills enabling them to thrive in diverse sectors such as private enterprises and industry, scientific research institutions, and academic environments. They are equipped for roles as:
- Data Scientists, Engineers and Analysts: proficient in extracting insights from complex data sets and implementing data-driven strategies across various domains.
- Quantitative Analysts in Finance and Economics, Actuaries, Risk Managers: utilizing mathematical and statistical expertise to excel in financial analysis, risk assessment, economic modeling, and various other roles specific to these fields.
- Mathematical Modelling Engineers: performing engineering tasks related to mathematical modelling and scientific computing (e.g. in electrical/electronic engineering, civil engineering, chemical engineering, mechanical engineering), biology, medicine (data processing, epidemiological modelling).
- Research or Academic Mathematicians: advancing mathematical knowledge in topology, fuzzy logic, quantum computing and data science, educating the next generation of mathematicians, and conducting research in specific areas. Graduates keen on furthering their academic pursuits can opt for doctoral studies.
Graduates also frequently pursue careers as Programmers and IT Specialists, Biostatisticians and Medical Statisticians.
More information about study programme and Study plan
ERASMUS+ exchange possibilities
UL full-time students, regardless of their citizenship, have the opportunity to apply for the ERASMUS + exchange program for studies or/and traineeship.
More information:
ERASMUS + study mobility
ERASMUS + traineeship moblity
Admission requirements
- First-cycle higher education (bachelor's degree or second-level professional higher education or equivalent higher education) in mathematics; or first-cycle higher education (bachelor's degree or second-level professional higher education, or equivalent higher education) in natural sciences or engineering sciences and technologies, or social sciences and successfully completed study courses in the field of mathematics (at least 8 credit points).
- The average grade in study courses must be 60% of the maximum.
- English language proficiency.
Autumn Intake (application start: 2 Jan 2024; studies start in Sept 2024)
Full-time
Contact person for more information
Director of the Programme
Prof. Jānis Valeinis
E-mail: janis.valeinis@lu.lv
Programme secretary
Elīna Buliņa
E-mail: elina.bulina@lu.lv