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The history of mathematics and statistics dates back thousands of years,
but the research looks into the future. Although invisible,
mathematics offersinnumerable interesting challenges to be solved.
Teaching at the Department of Mathematics and Statistics is based on the most recent research data, and the lecturers are active and internationally recognized researchers. You will study in a welcoming and informal yet research-intensive atmosphere.
The degree program is flexible, and you can match the studies to your academic interests, while acquiring the general competence in the field. The research areas of the Department of Mathematics and Statistics are:
biomathematics, bioinformatics, biometry, econometrics, financial and insurance mathematics, industrial mathematics, inverse problems, mathematical analysis, mathematical logic, mathematical physics, statistical machine learning, social statistics, stochastics, time series analysis, and transformation groups.
Specialization options:- Applied analysis,
- Biomathematics,
- Mathematical analysis,
- Mathematical logic,
- Mathematical physics
Master of Science degree is awarded after two years of full time graduate studies (120 ECTS) following a Bachelor's degree (180 ECTS) in a relevant field of study.
While writing your Masters thesis during the final year of your studies, you will have an excellent opportunity to take part in the current research projects of the Department. Master of Science degree at the Department of Mathematics and Statistics forms a solid basis for PhD studies.
Specialization areasYour preference in the following specialization areas will be asked in your application. Your motivation letter is an admission criteria, together with the quality of your previous studies and grades.
In addition to specialization areas listed below, we have specialization areas with teaching mainly in Finnish: Algebra and topology, Insurance and finance mathematics, Stochastics.
You can also get Master´s Degree in Applied Mathematics, specialization area Statistical Machine learning by combining studies in statistics, mathematics and studies of machine learning from the Department of Computer Science.
Applied analysis largely focuses on inverse problems (theoretical and computational), having important applications and implementations in interpreting the data obtained from various measurements in science and engineering. Industrial mathematics is an important application area.
Biomathematics focuses on modeling ecological and evolutionary processes by a variety of approaches, most importantly ordinary and partial differential equations, integral equations, stochastic processes, adaptive dynamics, and game theory.
Mathematical analysis has deep traditions in Helsinki. During recent years, the most celebrated results have been obtained in nonlinear potential theory, nonlinear partial differential equations, conformal geometry and quasiregular mappings.
Mathematical logic focuses on set theory, set-theoretic model theory, model theory, finite model theory, dependence and independence logic, second order logic, philosophical logic, as well as the history of logic and foundations and philosophy of mathematics.
Mathematical physics concentrates on mathematical understanding of quantum field theory and statistical mechanics. In those fields, powerful new methods were developed around the concepts of renormalization and universality. These concepts subsequently entered many areas of physics and mathematics, such as the theory of dynamical systems and chaos.
The University of Helsinki is giving about 50 start-up grants to qualified degree students who are accepted to study in an International Master's Degree Programme. The amount of each grant will be 1000-1500 euro. The grants are not meant to cover living expenses, but we hope that the little extra money helps our new students to settle in Helsinki.
The International Student Grant is available for degree students who are admitted in 2014 into the programmes below:
- Atmosphere-Biosphere Studies
- Bayesian Statistics and Decision Analysis
- Bioinformatics
- Biotechnology
- Chemistry
- Computer Sciences
- Democracy and Global Transformations
- Economics
- Environment and Natural Resources
- Ethnic Relations, Cultural Diversity and Integration
- European Studies
- Food Sciences
- Forest Sciences and Business
- Geography and Geology
- Intercultural Encounters
- International Business Law and Public International Law
- Mathematics and Applied Mathematics
- Media and Global Communication
- Modeling Molecules and Nanosystems
- Neuroscience
- Physical Sciences
- Plant Production Science
- Religion, Conflict and Dialogue
- Religious Roots of Europe
- Research Master's Programme in Social Sciences
- Statistics
- Translational Medicine