As a statistician, you transform numbers into knowledge. By analyzing and interpreting complex data, identifying patterns, and making predictions, you assist businesses, academia, and institutions in achieving their objectives. That's why your expertise is highly sought after in various fields, including healthcare, finance, insurance, retail, and many others.
As a statistician, you are urgently needed in a wide range of industries. Since many students discover their enthusiasm for statistics during their Bachelor's degree, our Master's programme is designed in such a way that students with Bachelor's degrees in a wide range of subjects can also complete it: From business administration and economics to psychology and forestry. The programme focuses on practical relevance. You will not only learn the methodology, but also how to practically implement the analysis of complex data in software packages such as R and finally prepare and present it in a generally understandable way. You can do the internship, the project seminar and the final thesis together with a practice partner from the business world to gain first-hand experience and important contacts. To ensure that you are optimally prepared for your desired career, you have the opportunity to specialise in the subsidiary subjects of economics, life sciences, empirical social research and computer science.
Since our students come from a wide range of disciplines, the basic modules of the compulsory area cover basic knowledge of statistical inference, statistical models as well as statistical programming in order to establish a harmonised level of knowledge.
Here you will deepen your knowledge of statistical modelling. In addition, you can specialise in one of the application areas of economics, life sciences, empirical social research and computer science through corresponding modules in order to be optimally prepared for your chosen profession later on.
In groups of two to four students, you develop statistical solutions to a research question provided by one of our cooperation partners from business and academia. In this way, you learn how to identify a suitable statistical approach to a problem, apply it and interpret the results. Finally, you present the results of your statistical analysis.
This area focuses on crucial competencies that are important for your professional success in addition to knowledge of statistical methods. For example, you can bring in modules to learn or deepen foreign languages from the University's language offerings. Furthermore, there are modules to strengthen key skills such as leadership or communication skills or to deepen your knowledge of mathematics. In addition, the area includes a compulsory module on data protection and data ethics in applied statistics. In addition, you can have a voluntary internship credited under certain conditions.
In your master’s thesis you deal with a current problem in statistics, collect data, and decide on the right method for analysis. In the final colloquium, you present your results to demonstrate your communication and presentation skills. You have the opportunity to write the final thesis in cooperation with one of our practice partners from industry - who may also become your first employer.
The programme is designed so that students with Bachelor's degrees in a wide range of subjects can study it. In particular, you do not need a Bachelor's degree in mathematics or statistics. The only requirement is 60 credits in modules on statistics, mathematics, computer science and quantitative methods, such as those included in the Bachelor's programmes in Business Administration, Economics or Psychology. The basic modules at the beginning ensure that everyone is at the same level of knowledge.
To enable you to optimally adapt your studies to your desired career path, the degree programme gives you great freedom in the choice of content. After the first semester, the proportion of compulsory modules is low. And a minor subject with special courses with a high level of application prepares you for your future career - currently you can choose from economics, life sciences, empirical social research and computer science.
In your seminars and final theses, you will work on current, practice-relevant issues that deal with real challenges from the practical world. The degree programme also includes a statistical internship, in which you carry out a statistical analysis together with a project partner from industry or academia. In addition, you can have a voluntary internship credited in the elective area.
We will accompany you throughout your studies, both personally and academically. Since the programme has a manageable number of 25 places, you can be sure of individual support from our team of professors. Contacts with guest lecturers, alumni and partners from the business world are also easy to establish in the familiar atmosphere of the degree programme, so that you can create a network that makes it easy for you to start your career.
Career paths with a master's degree in applied statistics.
Support researchers in pharmaceutical companies and scientific institutes with your statistical expertise in the planning, implementation and analysis of clinical and epidemiological studies.
Help retail chains conduct market research before launching new products, determine the optimal locations for new shops and optimise processes, logistics and warehousing.
Use economic ratios to assess risks for banks and investment companies or determine the probability of loss events for reinsurers.
Three simple steps to apply to the faculty
Fully fill out the online application form during the application period and send it to us via the send button at the end of the form.
You will receive login-data in order to be able to access the upload portal via email. Go through the attached checklist and upload all necessary documents.
You will receive a reply via email approximately six weeks after the application deadline.
"Since I myself really enjoy the subject of statistics, I also like to pass on the enthusiasm. I want students, after attending our courses, to be able to grasp and apply statistical models that we haven't talked about, because they have learned the basic understanding of them."
“In pursuit of a comprehensive understanding of social processes and their design, we rely on evidence-based models to gain insights, drive sustainable change and open up new perspectives.“
"As a statistician, I am responsible for essential parts of the quantitative education of Bachelor's and Master's students in our faculty. In all areas, it is important to me to awaken enthusiasm for statistical methods by enabling students to acquire a deeper understanding of the theoretical aspects through practical applications and to implement them themselves in the context of statistical programming."
"A little bit of education adorns the whole person." (Heinrich Heine)
Are you wondering whether a study programme at the Faculty of Business and Economics is right for you or do you have questions about the course of studies, placement in a higher semester or recognition of academic achievements? During our office hours, we advise you on site at the Oeconomicum, digitally via BBB and by telephone without prior registration.
Oeconomicum, 1st floor, Room 1.135
