Maren Beßler


Student Ambassador Data Science

Faculty: Fakultät WI

Write to our study ambassadors using the contact form. You can select several degree programmes you are interested in at the same time:

Contact study ambassadors

Why I chose the degree programme at THI:

I chose Data Science because it is an interesting, diverse and practice-oriented degree programme with future relevance.

Through the minor subjects in the fields of technology and economics, you gain important knowledge in the application areas in addition to the core content of data science. I came to the THI through my dual study programme with Siemens Healthineers.

My tip for study orientation:

Do a lot of research on the internet and try to narrow down your choice of degree programmes. It is also very helpful to talk to people who are already studying what you are interested in.

Contents of my degree programme:

At the beginning of the degree programme, you learn the basics of mathematics, statistics and computer science. From the 3rd semester onwards, you deepen your knowledge with subjects such as Applied Machine Learning, Data Engineering, Practical Deep Learning, Optimisation, etc. In addition, there are also compulsory elective modules in which you can choose certain courses yourself and minor subjects from technology and business also supplement the semester content.

Related degree programmes at the THI:

Computer Science, Computer Science and Artificial Intelligence, Artificial Intelligence

You should have these character traits for the degree programme:

You should be interested in the subject and be willing to learn. It's also helpful if you enjoy maths, practical projects and teamwork.

My favourite thing about the THI:

I like that you have a familiar and also international environment.

You should have these professional strengths for the degree programme:

Important skills are good maths skills, analytical thinking and interdisciplinary competence. You should also be able to familiarise yourself well with more complex topics.

My favourite experience/project during my studies:

Every semester, our degree programme organises a Data Science Vernissage, where all the professors and students can come together and exchange ideas.