Data and Information Science 11
Department of Applied Computer Sciences

Data Science and Artificial Intelligence

 

Some 3.81 petabytes of data are generated each second across the world. Analysing this volume of data requires methods from the fields of machine learning and artificial intelligence. High potential individuals from the fields of computer science, information management, mathematics, physics, economics, etc. learn about these methods as part of this degree programme. The expertise of our graduates is in high demand because they hold the key to knowledge in the infinite data dimension.

Find out more about the degree programme

Admissions

Before you start your degree programme you have to apply and go through the admissions procedure. Here you can read up on this and find the most important dates and deadlines.

My Studies

Here you can find everything you need to know about the course: course content, student and research projects, the semester and internship abroad, and the teaching staff.

After Graduation

Many different occupational fields and career opportunities are open to you as a graduate of our degree programme. Find out here what you can do.

Did you know, …

… that a wide range of careers are open to our graduates?

Potential employers include companies in the banking and insurance industry, e-commerce and online marketing, pharmaceuticals, bioinformatics and healthcare through to companies involved in business management applications of data mining, such as business & predictive analytics in digital production.

Did you know, …

… that the course is organised in a work-friendly manner?

Lectures are held from Wednesday to Friday in the first year, only one day a week in the 3rd semester, and in a block of five weeks at the start of the 4th semester. In this way you can combine your studies, especially the projects and the Master's thesis, with part-time employment. Weekends are free. E-learning accounts for a small portion of classes.

Did you know, …

… that there is great demand for experts in data and information science?

Most companies have a huge amount of electronically stored information. Even if data warehouses have been established, the stored information is often not used professionally, e.g. using methods of data condensation, processing and development. These companies need experienced professionals who use their data to generate information and knowledge for decision-making documents, regular analyses or for process control.

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