Why choose this programme?
This programme is no longer open for admission, please see our studies page for information about studies at the Department of Mathematics.
Modelling and Data Analysis (MoD) is a Master’s degree programme in which you learn to use and develop various tools based on statistics, mathematics and informatics. Tools of this kind are increasingly used to solve problems within various fields such as medicine, bio-technology, industry, social economics, finance and insurance.
The MoD programme contains two programme options, each with three possible fields of specialisation. Common to all six specialisation fields is a focus on how to use mathematical and statistical modelling and data analysis to understand both complex and simpler relationships based on observational data. The processes we study can vary greatly. Examples could include developments in the stock market, the metabolism of a cell, production processes in industry, the results of a planned agricultural experiment, radio signals that are distorted in the atmosphere, or the spreading of an infectious disease. This master’s programme is for you who wish to combine a solid training in mathematics and statistics with interesting applications and varied career opportunities.
The programme option, Finance, Insurance and Risk (FFR), is the study of analysis and control of various forms of risk associated with the application of mathematics and information technology, combined with economics and statistics. You choose whether to specialise in Insurance, Mathematical Finance, or Risk and Reliability Analysis.
If you specialise in Insurance, you will learn how today’s insurance companies operate within the financial market.
If you specialise in Mathematical Finance, you will develop a strong platform in mathematics – essential if you wish to operate in modern finance markets.
If you specialise in Risk and Reliability Analysis, you will build up general expertise on handling uncertainty in technical/economic systems.
The programme option, Statistics and Data Analysis (Sdata) is about working with modelling different processes that result in empirical data, and where we hope to learn from the empirical data. You choose whether you want to specialise in Image Analysis, Pattern Recognition and Signal Processing, in Bioinformatics and Biostatistics, or in Statistics.
If you specialise in Statistics, you will focus specifically on statistic modelling and analysis. You can choose between a theoretical or applied approach.