Overview

Overview

Hardly any STEM subfield is as deeply and so obviously rooted in our daily lives as the application of informatics methods and technologies, from the web browser in which you are reading this text (and the associated mobile phone app) to generally accessible demonstrations of artificial intelligence such as ChatGPT. But every scientific, industrial or business sector also uses specialised solutions for data processing and analysis and for automating and optimising processes. Dedicated branches such as bioinformatics, neuroinformatics or medical informatics or business and geoinformatics specialise in developing appropriate methods and algorithms based on the latest technologies, implementing them and making them usable. This is the field of applied computer science.

While classical computer science degree programmes are often more theoretical, the Bachelor's programme in Applied Computer Science at JLU is particularly aimed at prospective students who, in addition to the mathematical foundations of computer science, want to learn and implement programming, software development and specialised algorithms in a concrete, application-oriented environment using modern methods. To this end, the six-semester Bachelor's programme teaches software engineering and advanced methods of object-oriented programming as well as the concepts of scientific modelling, artificial intelligence and modern data analysis. Advanced aspects of supposedly standard topics such as database systems, operating systems, technical computer science and IT security complete the view of applied computer science as a whole. 

An integral part of the degree programme is also the choice of a specialisation from the second year onwards, within the framework of which the application orientation is profiled according to individual and subject-specific inclinations and career aspirations using specific subject areas such as bioinformatics, neuroinformatics, smart cities or physical measurement methods, but also algorithms, software engineering or artificial intelligence, right up to the Bachelor's thesis.

What you should bring

Interest in computer science and the digital world in general as well as the ability to think analytically and logically. English and programming skills and a certain affinity for technology are an advantage. Students need a laptop for their studies, as there are events in which work is done on the laptop.

There is a corresponding pre-course offer for all first-year students of this degree programme. Participation is highly recommended. More