You can always find a detailed course catalog in the LSF. The location and time of the event can also be found in this directory, so that you are always informed about updates. Further information can also be found on the course pages. The following list serves only as an overview. In case of doubt, please refer to the LSF or the course pages.
Here you will find a course catalog in abbreviated form for the winter semester 2023/2024 (as of 13.07.2023) as an overview. Courses start on October 9, 2023 and end on Februar 2, 2024. Block courses may still be offered before or after, if necessary.
The following courses are offered on a regular basis.
Each winter semester there are: Descriptive Statistics, Estimating and Testing, Probability Theory, Programming with R I, Vector and Matrix Calculus, Computational Statistics, Survey Techniques, Introduction to Data Science I, Scientific Working, Statistical Theory, Lecture from the area of Stochastic Processes.
In each summer semester there are: Probability, Descriptive Multivariate Statistics, Nonparametrics and Robust Statistics, Optimality in Estimators and Tests, Decision Theory, Programming with R II, R for Data Scientists, Introduction to Data Science II, Introduction to Statistical Learning, Sampling Techniques, Principles of Design of Experiments, Advanced Design of Experiments, Time Series Analysis, Econometrics, Advanced Statistical Learning, lectures from the area of Modeling.
In both the summer and winter semesters, there are: Case Studies I, Case Studies II or Case Studies, seminars, and various lectures from the elective areas of the degree programs.
Statistical programming courses (e.g. SAS, SPSS, Julia, Python) are usually offered as compact courses shortly before the beginning of the semester or shortly after the end of the semester. They are usually announced through notices.
Course catalogs of past semesters can also be found in the LSF (selection at the top right on the link of the current semester). Furthermore you can find pdf-short overviews of winter 2020/21 and summer 2020.
Before classes begin, check out our pre-courses that will help you prepare for your upcoming Master's and brush up on all the important content from your Bachelor's courses. There will be 3 different pre-courses:
The first one is a statistics pre-course in German language, which mainly covers the most important content of the statistics bachelor. It is a three-week course that will take place in presence on campus. It is recommended if you are preparing for the statistics master.
The second and third pre-courses are e-learning courses in English on the moodle learning platform. They do not have a fixed schedule. Therefore, you can do them where and when you want. One of them is an online statistics course that has essentially the same content as the face-to-face pre-course. It is recommended for both the Data Science and Econometrics master's programs. The other is a Data Science course that is highly recommended for all Data Science students.
Here you can find the slide sets of the information event of 12.07.2023.
Seminars and case studies
- Case Studies I (Pauly) en
- CaseStudies II (Demetrescu) en
- Digital phenotypes from digital behavioral traces (Doebler) en
- Statistical Meta-Analysis: Combining Experiments (Knapp) en
- Multilevel Models (Bürkner) en
- Bayesian Causal Inference (Klein, Medina-Olivares) en
- Time Series Econometrics (Jentsch/Demetrescu) en
- Internship in Statistical Consulting and Analysis (Herbrandt) en
- Quality Management (Weihs) en
- Statistical Methods in Epidemiology (Ickstadt) en
- Statistics in Toxicology I & II / Modelling & Testing (Rahnenführer/Kappenberg) en
- Basics of Official Statistics and Census (focus on EMOS) de
- Survival Analysis (Dobler) en
- Industrial Data Science (Pauly/NN) en
- Bayesian Machine Learning (Klein/Ustyuzhaninov) en
- Applied Bayesian Data Analysis (Ickstadt/Bürkner) en
- Text as Data (Rieger/Lange) en
- Population Statistics and Demography (Pflaumer) en
- Applied Econometrics (Demetrescu) en
On the bulletin board of the Dean's Office of the RUB Medical Faculty there is detailed information on the respective modules under the item Theoretical Medicine.
Current information and changes
- 2023-09-11: Here you can find information about the lecture "Occupational Medicine" in WiSe 2023/24
- 2023-09-28: Here you can find informationen about the lecture "Hygiene und Umweltmedizin" in WiSe 2023/24
Faculty of Mathematics
The courses for the majors Statistics as well as Data Science offered by the Faculty of Mathematics can be found in the Lectures section on the homepage of the Faculty of Mathematics.
Faculty of Computer Science
The courses for the Bachelor-Master program Data Science offered by the Faculty of Computer Science can be found in the LSF system under Faculty of Computer Science.
The software internship (SoPra) is a mandatory course in the bachelor program Data Science. The number of places in the SoPra is limited. Information about the course, registration and allocation of places can be found on the Sopra website of the Faculty of Computer Science. We kindly ask you to get the necessary information early.
Faculty of Economics
According to the cooperation agreement, the following modules of the Faculty of Economics can be chosen in the elective areas Applications / Applications in the Bachelor / Master Data Science starting in the winter semester 2022/2023:
- Applied Econometrics (Applied Economics II - Bachelor)
- Introduction to Game Theory (Microeconomics I - Bachelor)
- Causal Analysis: Economics meets Data Science (Microeconomics II - Bachelor)
- Game Theory (Microeconomics I - Master)
The courses for minor subjects as well as courses of other faculties can be found in the LSF system.