A group of young women are sitting in a corner and talking. One woman is writing on a laptop.









TRANSFORMING DATA INTO KNOWLEDGE




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.





















MASTER'S PROGRAMME IN APPLIED STATISTICS




Start

Winter semester


Credits

120 Credits


Language

Predominantly English, partly German


Duration

4 Semester


CHE-Ranking

Top ratings in general study situation


Application

Limited admission (application to the faculty)












LEARN A KEY DISCIPLINE OF OUR TIME




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.







  • Compulsory modules: Learn basic knowledge



    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.


    36 Credits





  • Electives: Building expertise



    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.


    36 Credits





  • Statistical internship: Applying practical knowledge



    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.


    6 Credits





  • Key qualifications: Building soft skills



    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.


    12 Credits





  • Master's thesis: Applying what you have learned



    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.


    30 Credits





  • Additional links
















GOOD REASONS FOR STUDYING IN GÖTTINGEN




  • Suitable for career changers

  • Various specialisations

  • Career relevance

  • Individual support









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.





 Two students, a man and a woman, sit at the counter of the student advisory service and are advised by a woman.







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.





A student sits at a table in the library and takes notes.







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.





A student wears virtual reality goggles and holds two controllers in his hands.







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.





 Three people, two men and one woman, sit at a table and look at an A4 notepad.
















WHAT OUR STUDENTS AND ALUMNI SAY ABOUT STUDYING IN GÖTTINGEN










  • Marah-Lisanne Thormann is standing at a lectern. Behind her, a PowerPoint presentation can be seen on a screen.



    "After an internship in credit risk at a bank, I discovered the Applied Statistics degree programme. For me, it was the perfect combination of theory and practice due to the financial focus and the opportunity to write my Master's thesis in the company. I also found the possibility of a semester abroad attractive. Besides excellent teaching, the WiWi faculty also strives for balance between global, economic and academic thinking."



    Marah-Lisanne Thormann,

    Master's degree in Applied Statistics, specialisation in Economics






  • Portrait photo of Jonathan Henrich. He is wearing a grey T-shirt.



    "The Master's in Applied Statistics was ideal to expand the methodological repertoire from my Psychology Bachelor's degree. During my studies, I became aware of the field of machine learning, which was completely unknown to me. Through my specialisation in this area, I feel well equipped for challenges in business and research. Apart from the degree programme, I find the university's sports grounds and the city of Göttingen very nice."



    Jonathan Henrich,

    Master's degree in Applied Statistics, specialisation in Computer Science






  • Portrait photo of Karen Wolf. She is wearing a blue and white striped blouse.



    "I particularly like the fact that I get both theoretical background and the opportunity to specialise in practical application areas. I was particularly interested in the specialisation in life sciences. This allowed me to get involved with a French plant breeding company as part of my Master's thesis. After the internship abroad, I was taken on as a PhD student and am now looking forward to working in an area that fulfils me and is important to me."



    Karen Wolf,

    Master's degree in Applied Statistics, specialisation Life Sciences






  • Portrait photo of Sophie. She is wearing a red jacket, jeans and a headband.



    "During my sociology studies, I particularly enjoyed the modules on statistical methods. To delve deeper into how they work, I decided to take the Master's in Applied Statistics. The programme in Göttingen allowed me to combine theoretical foundations with hands-on learning in a vibrant city. Göttingen offers plenty of options for sports and a rich array of cultural activities for students."



    Sophie,

    Master's degree in Applied Statistics, specialisation Empirical Methods of Social Research






  • Portrait photo of Fabian Hölscher.



    "For me, the exciting thing about the degree programme is the linking of general static competences with the application in different specialisations. I was recently able to experience the result of this interdisciplinary approach again when we submitted a topic from Continental for the module 'Statistical Internship' and the students very quickly familiarised themselves with the topic 'Tyre Performance', which was foreign to them, and translated it into a statistical model. These skills are also reflected in the diversity of the industries in which my fellow students work today."



    Fabian Hölscher,

    Continental R&D Data Scientist










How to apply

How to apply

Three simple steps to apply to the faculty

  • 1.

    Complete the online application form in full during the application period and send it to us via the send button at the end of the form.

  • 2.

    You will receive access data to the upload portal for your documents via email. Go through the attached checklist and upload the documents.

  • 3.

    You will receive a reply to your application by email approximately six weeks after the application deadline.

Apply now!







We accompany you through your studies


Your teaching team (selection)




  • Portrait photo of Elisabeth Bergherr. She is wearing a green shirt.
    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."


  • Portrait photo of Helmut Herwartz. He is wearing a light blue dress shirt.
    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.“


  • Portrait photo of Thomas Kneib. He is wearing a wine-red T-shirt.
    Statistics
    Prof. Dr. Thomas Kneib

    "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."


  • Portrait photo of Tino Berger. He is wearing a blue shirt.
    Empirical International Economics
    Prof. Dr. Tino Berger

    "A little bit of education adorns the whole person." (Heinrich Heine)








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.

Student Advisory Office

+49 551 39-28800 service-center.wiwi.uni-goettingen.de

Oeconomicum, 1st floor, Room 1.135

Portrait photo of the student advisory service. From left: Dorothee Konings wears a turquoise blouse, Dennie Oertel wears a dark blue checked jacket and a white shirt and Anja Schöfer wears a black blazer and a white blouse.