M.S.Mathematics and Data Science
| Study location | Latvia, Riga |
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| Type | Master, full-time |
| Nominal duration | 2 years (120 ECTS) |
| Study language | English |
| Awards | M.S. (Master (Master of Natural Sciences in Mathematics)) |
| Course code | 21068 |
| Accreditation | Theprogram is accredited until 05.10.2029. |
| Tuition fee | €5,400 per year |
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| Application fee | €170 one-time |
| Deposit | €500 one-time |
| Entry qualification | Undergraduate diploma (or higher) First-cycle higher education* in mathematics; or first-cycle* higher education in natural sciences or engineering sciences and technologies, or social sciences and successfully completed study courses in the field of mathematics (no less than 8 credit points (LV) or 12 credit points (ECTS)). 1. The average grade in study courses must be 60% of the maximum. *Bachelor’s degree or a diploma proving equivalent level of education The entry qualification documents are accepted in any languages (issued in or officially translated along with verified copies) You must take the original entry qualification documents along with you when you finally go to the university. Please provide bachelor’s diploma (for master studies) or master’s diploma (for doctoral studies) in the original language. If the diploma is not issued in English, a certified translation should be provided. The document must be legalised/apostilled |
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| Territory requirements | Applications are NOT accepted from the following territories (based on citizenship): Bangladesh, Iraq, Pakistan, Russia, Yemen. |
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| Language requirements | English LanguageCert International ESOL at least Level Communicator B2 (Written and Spoken exams); 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 2 reference(s) must be provided. A motivation letter must be added to your application. At least 1 reference(s) should be provided. The average grade in study courses must be 60% of the maximum. As a part of the admission process applicants will be asked to participate in an online interview. |
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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.