Master of Science (MSc)

Mathematical Data Science

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:

How do the numerical methods used to train neural networks work?
How can the error rate of machine learning algorithms be controlled?
Which statistical models are suitable for automatically recognising topics in news articles?
Which algorithms do streaming providers use to suggest films on a customer-specific basis?
How does handwriting recognition work during letter sorting?

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.

More about the course

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.

Academic Degree

Master of Science (MSc)

Type Of Study