Courses and programmes
Freestanding courses and programmes at Uppsala University. Use the drop-down menu to choose which category is right for you.
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- Advanced Econometrics, 7.5 credits (2ST123)
The course is an advanced course in econometrics focusing on regression analysis and its mathematical foundations for the purpose of a complete understanding. The course focus on theory aiming at …
Course, Spring 2027, Uppsala, On-campus, 50%, English - Analysis of Survival Data, 7.5 credits (2ST072)
Survival data consists of time to the occurrence of a certain event, and data are often censored (the event does not occur for all individuals). Modelling and analysis of such data, therefore, …
Course, Autumn 2026, Uppsala, On-campus, 50%, English - Applied Statistical Methods, 7.5 credits (2ST094)
This course in applied statistics focuses on data analysis using statistical methods. The course consists of a number of cases (homework assignments) and for each of these, you hand in a written …
Course, Autumn 2026, Uppsala, On-campus, 100%, EnglishCourse, Spring 2027, Uppsala, On-campus, 100%, English - Bayesian Statistics and Data Analysis, 7.5 credits (2ST128)
The course is an introduction to Bayesian Statistics and Dana Analysis. The course covers core ideas in Bayesian inference, such as Bayesian epistemology, Bayes theorem, prior and posterior …
Course, Autumn 2026, Uppsala, On-campus, 50%, English - Causal Inference, 7.5 credits (2ST124)
The course utilises the potential outcome framework and the graphical, structural causal model framework for defining and estimating causal parameters for average causal effects and mediation …
Course, Spring 2027, Uppsala, On-campus, 50%, English - Econometrics, 7.5 credits (2ST092)
The course is in basic econometrics with a focus on regression analysis. It requires at least a basic course in probability theory and statistical inference since all the major concepts, methods and …
Course, Autumn 2026, Uppsala, On-campus, 100%, EnglishCourse, Spring 2027, Uppsala, On-campus, 100%, English - Generalised Linear Models, 7.5 credits (2ST075)
Generalised linear model (GLM) is a broad class of statistical models that includes many commonly used models (e.g., linear regression and logistic regression) as special cases. In this course, we …
Course, Autumn 2026, Uppsala, On-campus, 50%, English - Inference, 7.5 credits (2ST120)
Coverage of the main parametric techniques used in statistical inference. Data reduction. Method of moments, maximum likelihood, and Bayesian point estimation. The Cramer-Rao inequality. Interval …
Course, Autumn 2026, Uppsala, On-campus, 50%, English - Introduction to R, 7.5 credits (2ST127)
The course provides an introduction to R for studies at the advanced level. Handling of data and data visualisation are examples of two of the course's topics. In addition, the course gives a basic …
Course, Autumn 2026, Uppsala, On-campus, 100%, EnglishCourse, Spring 2027, Uppsala, On-campus, 50%, English - Introductory Statistics and Data Science 1, 15 credits (2ST135)Course, Autumn 2026, Uppsala, On-campus, 100%, SwedishCourse, Autumn 2026, Visby, On-campus, 100%, SwedishCourse, Spring 2027, Uppsala, On-campus, 100%, Swedish
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