The research focus within the disciplines in the degree programme is e.g. geometric analysis and measure theory, analysis in metric spaces, partial differential equations, functional analysis, harmonic analysis, mathematical physics, stochastics, inverse problems, mathematical logic and set theory, biomathematics, time series analysis, biometry, econometry, psychometrics and social statistics. The programme is part of two centres of Excellence: Analysis and Dynamics Research and the Inverse Problems Research.

Social Statistics supports evidence-based decision making for the government, organizations and private companies. Applications range from pensions and health care to finance and social media. Questions of inequality between genders, regions or generations typically involve statistical analyses. Dynamic probabilistic modelling is a primary tool in analyses involving forecasting and risk management. Finland has an extensive system of administrative registers that provide high quality individual level data, dating back to as early as 18th century. These are complemented by survey data. New sources of data include the internet and social media. Social Statisticians at the University of Helsinki are distinguished in the handling of such data and as developers of new methods for their statistical analysis.