Master's in Mathematics and Data Science
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The Master’s programme in Mathematics and Data Science is the leading advanced academic programme in mathematical sciences among universities in Latvia. Graduates are well prepared to compete successfully in the international job market.
The programme offers three specialisations: Data Science, Technology Mathematics, and Pure Mathematics. Each pathway provides in-depth and distinctive expertise in mathematics, statistics, industrial mathematics, and data science.
The core compulsory courses build a strong theoretical foundation. These include applied algebra, nonlinear optimisation, graph and network optimisation algorithms, modern statistics, and mathematical methods using programming languages such as Python, R, and MATLAB. The programme also includes an academic internship, giving students the opportunity to tackle real-world problems in mathematics, modelling, or data science, often through interdisciplinary projects.
The Data Science specialisation covers statistical and deep learning, statistical modelling, Bayesian statistics, as well as courses from data analytics and statistical methods modules.
In Technology Mathematics, students additionally study principles of industrial and engineering modelling, as well as modern and emerging technologies based on data-driven systems, neural networks, and numerical methods.
The Pure Mathematics track is the only programme in Latvia dedicated to preparing research mathematicians and high-level university lecturers. Students in this specialisation can study topology, non-classical set theory, abstract algebra, analytical methods, quantum computing, and the mathematical foundations of computer science.
Graduates of the Master’s programme enjoy a wide range of career opportunities in business, industry, research institutes, and universities. They go on to work as data scientists, data analysts, and programmers, contribute to the development of information technologies, and take on engineering mathematics tasks related to mathematical modelling and scientific computing.
These roles can be found across fields such as electrical and electronics engineering, civil engineering, chemical engineering, mechanical engineering, as well as in biology and medicine — including data processing and epidemiological modelling.
Some graduates also pursue careers in academia and research institutes, continuing with doctoral studies and research in Latvia or abroad.
Academic Qualification
Applicants must hold an undergraduate degree (or higher).
Previous education must be one of the following:
– A first-cycle higher education degree (Bachelor’s degree, second-level professional higher education, or equivalent) in Mathematics;
or
– A first-cycle higher education degree (Bachelor’s degree, second-level professional higher education, or equivalent) in Natural Sciences, Engineering and Technology, or Social Sciences, with successfully completed Mathematics courses amounting to at least 12 ECTS.
Standardised Test Requirements (Non-EU/EEA/Swiss Education Background)
Applicants whose previous education was not obtained in a European Union (EU), European Economic Area (EEA), or Swiss Confederation must provide one of the following standardised test results (issued within the last five years):
– SAT: minimum score of 1200
– GMAT: minimum score of 595
– GRE: minimum score of 320
If applicants submit both SAT and GMAT or GRE results with equivalent scores and the number of study places is limited, preference will be given to those who have submitted GMAT or GRE results.
Additional Requirements for Non-EU/EEA/Swiss Citizens and Non-EU Long-Term Residents
– The average grade in previous studies must be at least 60% of the maximum possible grade.
– All grades must be passing (at least 4 on a 10-point grading scale or equivalent).
Document Requirements
Entry qualification documents are accepted in English or Latvian.
Applicants must upload:
– Education documents in the original language;
– Official translations into English;
– Verified copies of original documents (if required).
Diplomas and transcripts issued outside the EU must be legalised with a legalisation stamp or Apostille.
Applicants must present the original entry qualification documents upon arrival at the university.
Language Requirements
Applicants must provide proof of English language proficiency. The university accepts the following international language certificates:
– LanguageCert International ESOL – at least Level Communicator B2 (Written and Spoken)
– TOEFL iBT – minimum score of 80
– TOEFL Essential – minimum score of 9
– IELTS – minimum overall score of 6.0
– PTE General – minimum level B2
– PTE Academic – minimum score of 55
– FCE – minimum grade B
– CPE (C2 Proficiency) – any passing level
– CAE (C1 Advanced) – any passing level
Exemptions
Applicants who have completed previous education in English in one of the following countries are not required to provide a separate English language certificate:
Australia
The Bahamas
Canada
Ireland
New Zealand
St Vincent and the Grenadines
United Kingdom
United States of America
Foreign nationals who are citizens of the EU, EEA, or the Swiss Confederation may also demonstrate English proficiency through a language assessment included in their secondary or prior higher education certificate, provided it is recognised as equivalent to at least B2 level according to the Common European Framework of Reference for Languages (CEFR).
Contact the Faculty of Exact Sciences and Technology at the University of Latvia: eztf@lu.lv
For information about the study programme:
Elīna Buliņa
Programme Administrator
elina.bulina@lu.lv
MATHEMATICS = LU
STATISTICS
DATA SCIENE
MACHINE LEARNING
CAREER
TECHNOLOGIES
NUMERICAL MODELLING
