The Master’s programme in Mathematical Statistics provides a broad spectrum of tools and methods for handling random phenomena occurring in scientific as well as industrial contexts. Within the programme, you can specialise in many different areas for different purposes. You study at least 45 credits in mathematical statistics at Master’s level and write a Master’s thesis of 30 credits. You can chooseto take the remaining (at most45)credits in e.g. mathematics or numerical analysis. You can also choose courses in other subjects, such as computer scienceor, if you are aiming for a career in a specific applied field, courses in that field. Examples include courses in economics, molecular biology and bioinformatics. If you intend to proceed to a PhD, you should take courses with a high degree of theory content, while if you are aiming for a career outside academia, you should take courses that cover a wide range of statistical models and methods.
Courses and number of credits: Stationary Stochastic Processes (7.5), Markov Processes (7.5), Mathematical Foundations of Probability (7.5), Time Series Analysis (7.5), Monte Carlo Methods for Stochastic Inference (7.5), Non-Parametric Inference (7.5), Stationary and Non-Stationary Spectral Analysis (7.5), Linear and Logistic Regression (7.5), Statistical Modelling of Extreme Values (7.5), Inference Theory (7.5) or Design of Experiments (7.5). Non-Linear Time Series Analysis (7.5), Spatial Statistics with Image Analysis (7.5), Valuation of Derivative Assets (7.5). Financial Statistics (7.5), Statistical Modelling of Multivariate Extreme Values (7.5) or other elective courses. Master’s degree thesis (30).
With a Master of Science in Mathematical Statistics, you have great opportunities to form an exciting career in, for example, the pharmaceutical industry, biotechnology companies or the banking and finance sector. Statistical methods are also of great importance for logistics, quality assurance and development in industry and organisations within the public sector.
Read more about this programme at www.lunduniversity.lu.se/mathematical-statistics
Why Lund University?
Lund University was founded in 1666 and is one of northern Europe’s oldest, broadest and finest universities. The University ranks among the world's top 100 universities in the QS World University Rankings 2019 and is the #1 choice for international students coming to Sweden – one of the world's most innovative, sustainable and democratic countries.
If you would like to start building your international network in a global classroom setting, Lund University is a great option. Experience a different way of learning in a country ranked as one of the best in the world at providing higher education. Group work and informal teacher-student relationships facilitate in-depth learning.
The University is located in Lund, a charming and compact university city in southern Sweden, only 35 minutes away from Copenhagen Airport in Denmark. The city is famous for its vibrant student life and is also home to many world-leading research facilities and international companies.
Learn more about Lund University at www.lunduniversity.lu.se
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Last updated October 8, 2018