University of Latvia
Master in Mathematics and data science
Riga, Latvia
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2024
TUITION FEES
EUR 2,900 / per year
STUDY FORMAT
On-Campus
Introduction
- Degree to be achieved: Master of Natural Sciences in Mathematics
- Amount of credits: 80 credit points or 120 ECTS
- Accreditation: the program is accredited until 05.10.2029.
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 in 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.
Admissions
Curriculum
Mathematics and Data Science
Mandatory Part
- Graphs, networks, and discrete optimization algorithms
- Basic Latvian
- Applied algebra
- Advanced mathematical methods with Python, R, and Matlab
- Modern statistics and data science
- Nonlinear optimization
Data Science
Mandatory Part
- Bayesian statistics
- Deep Learning
- Statistical Modelling
- Statistical learning
Pure Mathematics
Mandatory Part
- Theory of Functions and Functional Analysis
- Category Theory
- Measure and Integral
- Number theory
Technology Mathematics
Mandatory Part
- Dynamical Systems
- Industrial Mathematical Modelling
- Numerical Methods for Partial Differential Equations
- Systems and Control
Elective Courses
- Civil Protection Test 1
- Environment protection
Program Tuition Fee
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, and 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 modeling and scientific computing (e.g. in electrical/electronic engineering, civil engineering, chemical engineering, mechanical engineering), biology, and medicine (data processing, epidemiological modeling)
- 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.