Gain solid knowledge in statistics and data analysis while developing in-depth expertise in a specific field of application! The 2-subject Bachelor's degree in Applied Statistics provides a sound methodological foundation alongside a second subject of your choice. This enables you to develop a flexible, interdisciplinary profile with analytical depth and professional diversity, while tailoring your studies to your interests and strengths.
Please note that the programme will be introduced for the first time in the winter semester of 2026/2027. The websites are still under construction. You will be able to enrol on the programme for the first time between 1 June and 30 September 2026, with studies beginning in October 2026.
Analytical strength meets professional diversity: a combination with profile
The two-subject Bachelor's degree allows you to study two subjects in equal depth and combine them in any way you choose. Alongside applied statistics, you can choose another subject that matches your interests. At the University of Göttingen, you can choose from over 40 subjects ranging from the humanities and social sciences to economics and the natural sciences. This enables you to design a degree programme that is both broad in scope and aligned with your personal interests.
Gain in-depth expertise for future jobs
In science, business and society, many of today's key questions can only be answered using data. Combining applied statistics with a specific subject allows real-world issues to be addressed in a targeted manner using modern quantitative methods. You will learn how to collect, evaluate and interpret data within the context of a specific subject. This will give you a deep understanding of statistical methods and their practical application. This distinctive combination opens up prospects in interdisciplinary fields and provides an excellent foundation for further study, as well as research- and data-oriented careers.
The modules in the core curriculum impart fundamental knowledge of applied statistics and the corresponding mathematical principles. In addition, practical applications, statistical software and programming, as well as aspects of data collection and data protection are covered in order to provide sufficient scope for applications in addition to the methodological principles. In the specialisation, you can pursue your own interests, for example in econometrics, data science or machine learning.
66 Credits
Second subject: Creating interdisciplinary knowledge
Combining Applied Statistics with a second subject provides you with interdisciplinary knowledge and gives you a unique profile in terms of your professional career. You can choose from around 40 subjects in the fields of humanities, cultural studies and languages, as well as natural sciences, mathematics and computer science, economics, law and social sciences.A complete list can be found on the overview page of the subjects. Under the ‘Degree’ tab, activate the ‘Bachelor's (2 subjects)’ option. Please note that you must meet any admission requirements when choosing your second subject.
66 Credits
Professionalisation area: Strengthen your key skills and develop your individual profile
In this area, you have the opportunity to tailor your studies to ensure that you are optimally prepared for the transition to your desired master's programme or professional life. You can sharpen your profile by choosing between the two specialist profiles ‘Statistics, Econometrics and Machine Learning’ and ‘Data Science’ or the career-oriented profile, which includes economic fundamentals in particular. In addition, you can acquire key skills that are crucial for your future career, such as language skills or leadership and communication skills. We recommend that you take 18 credits in the professionalisation area with modules from the key skills area and 18 credits with modules from one of the profile areas offered.
36 Credits
Bachelor's thesis: Applying what you have learned
You can write your bachelor's thesis in one of the two subjects you have chosen for your bachelor's degree programme. Work on a specific question and apply all the skills you have learned during your studies: research methods, critical thinking and independence. You will choose current topics related to methods or applications of applied statistics and use real data and quantitative methods for analysis.
12 Credits
Study plan, information about studying abroad and additional links
Example of a study plan for a combination of the two-subject Bachelor's degree programmes in Applied Statistics and Economics (in German): Study plan for Statistics and Economics
Information on possible subject combinations and advanced master's programmes
Here are some examples of subject combinations:
Different technical focuses and fields of application arise depending on the combination. When combined with economics, for instance, the focus is on analysing economic data and applying statistical methods to provide evidence-based policy advice to ministries and non-governmental organisations, for example.
Combining sports science opens up opportunities in data-based performance analysis. For example, it can be used to evaluate training processes or assess injury risks.
The focus of attention in connection with digital humanities is on statistical methods for evaluating, modelling and visualising humanities data.
Statistical methods are used to analyse social structures and processes when combined with sociology, for example in family, group or social research.
Combinations with mathematics or computer science are also possible. These are particularly well-suited to students who wish to develop a more theoretical or algorithmic understanding of statistical methods.
Further subjects and perspectives on Master's programmes
An overview of the available subjects can be found here. Under 'Abschluss' (degree), please select 'Bachelor 2-Fächer' (two-subject Bachelor's degree). The two-subject Bachelor's degree in Applied Statistics prepares students for the consecutive Master's programme in Applied Statistics. With the appropriate profile selection, it also enables students to transition to a Master's degree in their chosen second subject.
GOOD REASONS FOR STUDYING IN GÖTTINGEN
Flexible study structure
Interdisciplinary competences
Study abroad
Personal development
Would you like to combine a specific field of application with methods from applied statistics, data science and machine learning, while studying several fields of study? The two-subject degree programme in Applied Statistics enables you to do just that. You can combine Applied Statistics with one of over 40 other subjects, making your studies both interdisciplinary and practical. Building on this, the consecutive Master's programme in Applied Statistics enables you to further develop your methodological skills, or - depending on your chosen profile - you can continue with your second subject. Overall, our two-subject Bachelor's programme offers a high degree of flexibility, giving you the opportunity to prioritise areas that match your interests and career goals.
There are numerous professions that require interdisciplinary knowledge that is not taught in any of the usual degree programmes. In particular, more and more professions require a combination of specific specialist knowledge and general methodological skills in applied statistics, machine learning or artificial intelligence. This applies to biometricians in the healthcare sector as well as data scientists in retail or risk managers in the financial industry, but it also applies to numerous other areas. Our dual-subject Bachelor's degree gives you the opportunity to put together exactly the course of study you need for your career aspirations.
A semester abroad broadens your horizons, deepens your knowledge of foreign languages and gives you experiences that you will remember for a lifetime. The Faculty of Economics offers you opportunities to study abroad for one or two semesters as part of Erasmus+ or global faculty and university programmes. You will not only benefit from our wide range of exchange programmes and partner universities, but also from our excellent international advisory services.
A two-subject degree programme promotes mental flexibility and creativity. It enables you to expand your intellectual horizons and develop new ways of thinking. You will learn to combine different subject areas and link their methods and approaches. This strengthens your analytical skills and helps you to view complex problems from different perspectives. In addition, you will hone your communication and teamwork skills by collaborating with different people from different subject areas.
THESE OPPORTUNITIES OPEN UP TO YOU
Career paths with a two-subject bachelor’s degree in applied statistics and a second subject.
WHAT OUR STUDENTS AND ALUMNI SAY ABOUT STUDYING IN GÖTTINGEN
Graduates of the Master's programme in Applied Statistics talk about their jobs.
After completing my studies in applied statistics, I now work at Statistics Austria in the methodology department. There, I develop new approaches to modernise statistical processes, with a focus on the use of artificial intelligence in official statistics. The aim is to make workflows more efficient and make meaningful use of new data sources, while complying with quality guidelines.
Eileen Vattheuer
I work as a survey statistician at the German Institute for Economic Research (DIW Berlin), where I am responsible for sampling and weighting in the Socio-Economic Panel (SOEP). I ensure that our survey realistically reflects the population in Germany and that the sample is always sufficiently large. This data is used internationally to analyse social developments and evaluate political measures.
Felix Süttmann
I work as a data scientist at the health insurance company, DAK-Gesundheit. My role involves developing and maintaining AI models to identify potential savings, increase customer loyalty and improve care for insured persons. Professionally, I deal with the question of how machine learning methods can create added value in the context of health insurance. Technically, I work on implementing these methods in Python and support their integration into IT processes.
Jannik Labrenz
As a data scientist at GLS Mobility, I actively support the transition to sustainable mobility. We enable easy payment at charging infrastructure for electric cars, highlight traffic-related emissions in business travel in our mobility consulting services, and show ways to reduce them effectively. I accompany the entire process in the consulting phase and am primarily responsible for the technical implementation of data collection and automated data evaluation. To this end, I develop models for determining emissions and dashboards for interactive presentation of the results.
Jasmin Schilling
I provide focused consulting on the special topic of remuneration and incentives/incentive systems in sales. In addition to strategic consulting, modelling the financial implications also plays a crucial role. My knowledge of statistics regularly makes the difference here. Furthermore, the understanding of programming that I developed during my studies helps me today when I advise on IT-related implementation and execution.
Johann Valentin Seebaß
I am pursuing my doctorate at a statistics institute at the Charité University Hospital in Berlin. I advise doctoral students and postdocs on statistical analyses in the fields of clinical medicine and microbiology, and I am responsible for case number planning when preparing ethics applications. Some of these consultations lead to research projects that I supervise over a longer period of time. In these cases, I also create the R scripts for data analysis.
Levin Wiebelt
I currently work as a technical consultant for companies, advising them on how to use modern data platforms correctly and in accordance with best practices, either locally or in the cloud. My focus is on Apache Kafka, the industry standard for processing real-time data streams (‘streaming data’) – used, for example, by Netflix, OpenAI and BMW. Studying applied statistics has given me a solid understanding of data, analytical thinking and valuable insights into IT systems.
Patrick Neff
I currently work as a senior data scientist and solution designer at Vattenfall in the wind energy sector. My focus is on developing and scaling AI and machine learning solutions for predictive maintenance of wind turbines. In my role, I combine statistical thinking, software development, cloud architecture and strategic consulting to implement data-driven innovations with measurable business benefits and increase the reliability of electricity generation from onshore and offshore wind turbines.
Alexander Lange
How to apply
Three simple steps to enrolment to the faculty
1.
Open admisssion degree programmes: You can enrol in these degree programmes without prior application. Enter your personal data in the application and enrolment portal of the University of Göttingen and provide information about your desired degree programme.
2.
Upload the documents required for enrolment and submit the application. You can then complete your online enrolment by entering additional data.
3.
After you have transferred the semester fees to the university, you will receive a confirmation with information about your enrolment as well as your student ID and your semester ticket by email.
"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."
Spatial Data Science and Statistical Learning
Prof. Dr. Elisabeth Bergherr
"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."
Statistics and Econometrics
Prof. Dr. Helmut Herwartz
“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.“
International Economic Policy
Prof. Dr. Krisztina Kis-Katos
„In the lecture hall, learning does not happen by simply listening, but only when students "play along": Think along, ask questions, answer questions and join in the discussion. This interaction of the teaching conversation and the occasional "aha" experience when I have been able to convey something new and perhaps unexpected gives me pleasure.“
Do you have any questions?
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.
