Applied Statistics – (M.Sc.)

Contents

During semester 1 the basics necessary for further studies are introduced: statistical theory and methods for effective statistical computation through the courses Mathematics for Economics and Statistics; Statistical Theory I, Probability; Statistical Theory II, Inference; and Computational Statistics.

Semester 2 provides further basics for continued studies. The courses in econometrics mainly discuss regression models and the problems that can arise when studying observational data. The Bayesian approach to statistical inference is introduced and the basics of sampling are covered. In the course Statistical Consulting I, the statistician's role is practiced.

During semester 3, four courses are taken. The course Model Assisted Survey Sampling II provides further knowledge of sampling and the course Micro Econometrics offers further knowledge of analysis of micro data. In addition, the course Non-response, discussing estimation problems due to non-response, is taken. A maximum of two out of these three courses can be swapped for any course from the university's selection of courses within second-cycle statistics. Students also take Statistical Consulting II which is offered parallel to other courses during the semester. During the later part of the semester the thesis work starts, running parallel to the courses.

During the first half of semester 4, the students opt to take either Financial and Macro Economic Time Series Models or Register Statistics and Production of Official Statistics. Alternatively, any course from the university's selection of courses within second-cycle statistics can be taken. These courses are part-time courses and run parallel to the thesis work, which during the later part of the semester turns into a full-time course.

Students who wish to complete their studies after one year with a Master's degree (60 credits) take Econometrics I, Statistical Consulting III and the Master's Thesis (15 credits) as well as either Bayesian Statistics or Model Assisted Survey Sampling I during semester 2.

Students who wish to complete their studies with a Master's degree (120 credits) are offered the opportunity to write two theses of 15 credits each, thus meeting the independent project qualification requirement of 30 credits. If so, the student will write a thesis for the one-year master's degree in the first year of the programme and write a thesis of 15 credits for the two-year master's degree in the second year. These students shall during semesters 3 and 4 take a further two courses of 15 credits in total within the programme compared to students who opt to write a singular thesis of 30 credits for the two-year master's degree. These students select their courses from among the following courses which have not previously been available to them: Econometrics II, Advanced Regression and Time Series, Bayesian Statistics, Model Assisted Survey Sampling I, Statistical Consulting I, Financial and Macro Economic Time Series Models and Register Statistics and Production of Official Statistics.