MasterMathematics and Data Science
| Study location | Latvia, Riga |
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| Type | Postgraduate, full-time |
| Nominal duration | 2 years (120 ECTS) |
| Study language | English |
| Awards | Master (Master of Natural Sciences in Mathematics) |
| Course code | 21066 |
| Accreditation | Theprogram is accredited until 05.10.2029. |
| Tuition fee | €5,400 per year |
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| Application fee | €170 one-time The application fee is 170.00 EUR. The application fee is non-refundable. Payment of the application fee and the diploma recognition fee should be paid only after the receipt of the invoice and must be paid BY the deadline of the invoice, if for any reason you have failed to pay the fees by the said deadline please contact the admission coordinator. |
| Deposit | €500 one-time A one-time payment for students coming from third countries outside the EU/EEA is to be paid in full together with the full-year tuition fee payable upon arrival. The deposit is intended for coverage of possible immigration expenses and paid back upon request after graduation. |
| Entry qualification | Undergraduate diploma (or higher) First-cycle higher education (bachelor’s degree or second-level professional The entry qualification documents are accepted in the following languages: English / Latvian. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. Applicants must upload education documents in original language, as well as translations into English. Diplomas and transcripts issued outside EU must be legalized with a legalization stamp or Apostille. More information available HERE You must take the original entry qualification documents with you when you finally go to the university. |
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| Language requirements | English Applicants must prove their English language knowledge. University accepts the following international language tests:
If your previous studies have been obtained in English but not in the country listed below, then you have to present an official letter from your previous educational institution (University, etc.) where is stated that all your studies were in English (medium of instruction is English), and you have to pass interview where the University of Latvia will evaluate your language skills. Applicants who have obtained previous education in English in one of the bellow listed countries do not need to provide separate language proficiency: |
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| Other requirements | At least 1 reference(s) should be provided. The average grade in study courses must be 60% of the maximum. |
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| More information |
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Overview
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.
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