Master's Degree in Statistics in Gothenburg in Sweden

Compare Masters Programs in Statistics 2016/2017 in Gothenburg in Sweden


A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.


Statistics is a highly relevant field with applications in many different academic disciplines, such as medicine, natural sciences, education, psychology, and education. It is also a desirable skill for workers in industry, business, and government.

Sweden (Sverige) is the largest of the Nordic countries, with a population of about 9.5 million. It borders Norway and Finland and is connected to Denmark via the bridge of Öresund (Öresundsbron). Sweden has a strong tradition of being an open, yet discreet country.

Gothenburg city is located in the west coast of Sweden. It is the 2nd largest city in the country and has over 500,000 inhabitants. Gothenburg has two universities Chalmers University of Technology and the University of Gothenburg.

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Master's Programme in Mathematical Sciences

University of Gothenburg, Faculty of Science
Campus Full time Part time 2 years September 2017 Sweden Gothenburg + 1 more

The programme has the following specializations: Mathematics, Applied Mathematics, Financial Mathematics, and Mathematical Statistics. [+]

Masters in Statistics in Gothenburg in Sweden. The use of mathematical and statistical models and methods have facilitated tremendous advances in knowledge during the last few centuries. Still, it may be today that the growth in ways of applying mathematical sciences is at its greatest, as ever-increasing data-collection and computing possibilities make new application ideas feasible. Examples of this include finding disease-related genes, cryptography for the internet, and risk computations for new financial instruments. At the same time, the strong tradition of pure research in mathematics is continuing, where the research goal is simply to follow the human need to explore, and to understand the logical consequences of axioms. The interplay between these two sides of our field make this a very exciting time to study mathematics. The Department of Mathematical Sciences has strong traditions in both pure and applied research. The fact that we are a joint department, part of both Chalmers Technical University and University of Gothenburg, gives us a size and contact surface that make many cooperations and specializations possible. We have research groups in algebraic geometry and number theory, biomathematics, complex analysis, computational mathematics, discrete mathematics, harmonic analysis and partial differential equations, kinetic theory, optimization, probability theory, wavelets, bioinformatics and statistical genetics, biostatistics, spatio-temporal stochastic models with environmental and marine applications, population dynamics, particle systems and statistical physics, extreme value theory, telecommunications, material fatigue and reability, environmental statistics, spatial statistics and image analysis, markov theory and algorithmic applications, and mathematical finance. As well as qualifying for graduate studies in mathematics and mathematical statistics, the Master's Programme can provide you with a background desirable to many employers, such as medical, industrial, consulting, insurance, or financial businesses, or public employers. The programme has the following specializations: Mathematics, Applied Mathematics, Financial Mathematics, and Mathematical Statistics. A number of advanced courses are available for each specialization. It is possible to complement your background with courses on a more basic level, or to follow research-level courses. The specialization towards financial mathematics is a cooperation with the school of Business, Economics and Law at the University of Gothenburg. The programme contains a masters thesis project of 30 higher educational credits, which may be done in cooperation with an external institution. [-]