The curriculum (60 ECTS) consists of mandatory general course units (12 ECTS), course units specific to the chosen main subject (33 ECTS), and a Master’s dissertation (15 ECTS). In every course unit, the theory is supported by projects and assignments in order to develop skills of practical data analysis. In so doing, we provide hands-on experience with real data. You can take this programme either as a full-time one-year programme, or stagger it across two or more years. Several of our course units are taught in the evening. The curriculum consists of two main subjects.
main subject Statistical Science
This track provides a solid basis in statistical thinking and methodology, with a focus on understanding and applying statistical concepts and bridging the world of statistics and that of empirical sciences. A wide variety of elective course units allows students to tailor the curriculum to their own background and interests. Our lecturers are active researchers, and collaborate on projects with the industry and with society. Our elective course units offer modern statistical methods with a strong emphasis on application. Statistical Science graduates are all-round statisticians.
main subject Computational Statistics
The generation of increasingly complex and massive data sets means that statisticians need to work together with data managers and computer scientists now more than ever. This means that statisticians are expected to know the basics of databases, data management and data access. Many companies ask their statisticians to implement code to be able to perform highly specific data analysis tasks. This coding goes beyond the traditional statistical software packages such as SAS or R, and also involves other modern programming languages (e.g. Python, Perl, ...). The Computational Statistics main subject offers a balanced curriculum with course units on statistical data analysis methods as well as on databases and programming skills. This main subject aims particularly at students with solid computer skills and an aptitude for algorithmic thinking. During the second term, the students work on their Master’s dissertation. The Master’s dissertation is a unique opportunity for students to learn first-hand from an experienced statistician how to apply statistical methods to solve real-world problems. This is an important component of the programme. Students report on their research methods and results orally and in writing.