Dr. Hartmut Lanzinger
89081 Ulm
There are applications for data science everywhere. For example, data science methods enable robots to navigate through the rocky landscapes of Mars, they support the search for drugs against novel diseases and they help companies with product and policy recommendations.
Our graduates learn to think mathematically and answer questions such as:
The degree programme is generally open to all students with a good grade in a degree programme in mathematics, but also in computer science and physics with in-depth knowledge of mathematics.
Master of Science (MSc)
Type of studyInformation on the study curriculum
Application Admission regulations: Start of programme120
Standard period of study (semester)4
Data science is about data, analysing data, recognising patterns in data and understanding data.
All of this is based on mathematics, algorithms and mathematical models.
On the Mathematical Data Science degree programme, you will learn which statistical principles and which numerical methods make this possible. Learn to evaluate algorithms and predictions, identify causal relationships empirically and develop new methods. Apply your knowledge to real data. Be sensitised to the ethical consequences that the algorithmisation of our society can have.
The focus of this degree programme is on the basics - the fundamental principles that will still be important in ten or twenty years' time.
You will be challenged to apply the fundamentals in various fields of application. This will enable our graduates to make significant contributions in numerous professional fields. Our wide range of electives allows you to tailor your master's programme to your individual preferences.
The master’s programme in Mathematical Data Science is aimed at graduates of a bachelor’s programme in mathematics and students with a bachelor's degree in computer science and physics with in-depth knowledge of mathematics.
The knowledge from the bachelor's programme is expanded and deepened here, and students have the opportunity to design their master's programme individually according to their wishes.
A total of 120 CP must be earned in the master's programme, spread over 4 semesters. A list and description of regular introductory modules and advanced modules offered at irregular intervals can be found in the module handbook.
For further information about the programme, please contact the programme coordinator Dr. Hartmut Lanzinger.
The master’s programme in Mathematical Data Science builds on the knowledge acquired in mathematics and the application subjects in the bachelor's programme. During the 4-semester programme students learn to evaluate algorithms and predictions and to develop new methods. The knowledge gained is applied to real data from a wide range of professional fields. Students are increasingly introduced to independent scientific work, i.e. the latest research results are discussed in the courses and students work on topical issues, e.g. in their final thesis. They can choose their specialisation according to their own interests and abilities.
The master's programme in Mathematical Data Science offers a range of opportunities to integrate a stay abroad.
sWe offer study abroad programmes as part of
Detailed information on studying abroad can be found on the pages of the International Office and International Exchange for Mathematics Degree Programmes.
The focus of the master's programme is on teaching the methodological skills needed to work as a data scientist or data analyst. The demand for specialists in this field is high and will only grow with increasing digitalisation and algorithmisation.
The master's degree programme in Mathematical Data Science prepares students for careers as data scientists and analysts in all data-based economic sectors.
All of the above career fields are also open to graduates at an international level. A master's programme also opens up the possibility of doctoral studies.