Sofie Grahnat

The mission of the subdivision of Statistics is to advance the frontiers of statistical science research in both theory and applications
-  to provide learning environments that produce well educated statisticians, econometricians and quantitatively literate people
-  to join with others in bringing the strengths of the statistical sciences to address societal needs.

Moreover, the statistical research aims at creating advances in the statistical sciences and statistical applications by enriching education, and strengthening research on campus and in the wider community. In addition to developing fundamental theory and methodology, we are actively involved in statistical problems that arise in such diverse fields as economics, finance, sport, tourism, regional development, business cycles and international trade. Research and dissertation works within Statistics subdivision at JIBS focus on various aspects of developing inference and decision making methods within, e.g., multivariate analysis, model-based and model-independent time series analysis, multi level analysis, robust estimation and micro econometrics.

Statistics is the discipline of how to analyse data. Since information is not the same thing as observations, the data needs to be analysed in order to provide information upon which decisions (“inferences”) can be made. As nearly any field of science is involved with the analysis of quantitative data there is an almost endless list of fields where statistics is needed: economics, business administration, psychology, biology, informatics, marketing, agriculture, accounting, actuarial science, pharmacy, finance and sociology, to mention some. Due to all of these areas in which statistics is useful it should be thought of as a universal and applied science. However, even though being an applied science, there need to be developed mathematical tools for the analysis, and that these tools continuously are evaluated and refined. Therefore, statistics studies are involved not only with the pure application of different methods, but also with how to evaluate the properties of the methods. Moreover, statistical analysis makes extensively use of computers, and so studies in statistics also involve a great deal of statistical data processing, ranging from the most simple graphical presentation to advanced computer programming.

At JIBS we are proud to be one of the few academies in Sweden that offers a complete and up-to-date set of courses, ranging from A-level all the way up to, and including, doctoral level. We offer purely applied courses on the A- and B-level to students who are not so interested in theoretical statistics but need statistics for their bachelor theses in e.g. economics, informatics, political sciences or business administration. Courses on a slightly more advanced level are offered to students who write bachelor or master thesis containing a great deal of statistical analysis and to students who will partly work with statistical analysis in their future career. Indeed, students with a major in Statistics are usually in great demand in the labour market or for future graduate studies. Also, students of Economics or Business administrations with a minor in Statistics have much wider career prospects and are more demanded in the labour market when compared to those without.