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Applied Computer Science (B.Sc.)

Taught in German | Introduced in the Winter Semester of 2023/24


Foto: pitinan/



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

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Composition of the Study Programme

Duration of studies 6 Semester 180 Credit Points (CP)

Duration of Studies

6 Semesters - 180 Credit Points (CP)

Composition of the Study Programme

Composition of the Study Programme

180 credit points (CP) are acquired in the degree programme, of which

  • 132 in the compulsory/elective area,
  • 36 in the chosen specialisation,
  • 12 with the Bachelor's thesis.

In the first year of study, you will acquire, among other things, sound basic knowledge in computer science (e.g. different programming languages) and acquire mathematical knowledge and skills that are required in computer science and the core subjects.

In the third and fourth semesters, you will be taught the methods of software engineering and advanced methods of object-oriented programming as well as the currently cutting-edge topics of artificial intelligence. In addition, you will begin your training in your chosen specialisation area. In the fourth semester, you deal with topics such as data analysis, data structures and the analysis of algorithms.

Advanced standard topics in applied computer science, such as database systems and operating systems, follow in the third year of study. In addition, the view of computer science as a whole is completed by a module on technical computer science. In the sixth semester, knowledge is provided in the area of IT security, which will become increasingly important in the future. Parallel to this, further training takes place in the specialisation.

Finally, you apply the skills you have acquired to a problem in applied computer science or the chosen focus area within the framework of a Bachelor's thesis. 

Students can choose between the following specialisations:

  • Algorithms
  • Bioinformatics
  • Artificial Intelligence
  • Neuroinformatics
  • Physical measurement methods
  • Smart Cities
  • Software Engineering


Course of studies

1. Semester 2. Semester

Fundamentals of Computer Science I

Fundamentals of Computer Science II

Basics of programming with Python

Discrete Structures

Basics of Statistics

Mathematical and Scientific Modelling
Linear Algebra  


3. Semester 4. Semester
Object-oriented programming Algorithms and data structures
Artificial Intelligence I Simulation and Modelling in Computer Science
Software Engineering

Basics of data analysis with R

Specialisation field Specialisation field


5. Semester 6. Semester
Database systems

IT security

Operating systems Specialisation field

Computer Engineering

Bachelor thesis
Specialisation field  


There is also a part-time variant for a 12-semester course of study. You will find this in the Mitteilungen der Universität Gießen (MUG)


Commencement of Studies in the Winter Semester

Commencement of studies

Only possible in the winter semester

Entrance Requirements Abitur ohne Praktikumsnachweis

Entrance requirements

  • Applicants must have an Abitur (German school leaver's examination for university entrance) or equivalent. More on this...
  • Certification of a pre-professional practical period is not required.
  • Special regulations apply to foreign applicants or those who gained their university-entrance qualifications abroad. Read more...

Pre-courses for the degree programme or sub-subjects
If you are planning to study in this degree programme, we strongly recommend that you take advantage of the programme of preparatory courses offered. Pre-courses are courses that help you to acquire important basic knowledge before you start studying. The classroom pre-courses are offered every winter semester, online courses are available in a flexible way. You can find further information

You can find further information here.

Application not limited only winter

Application / Enrolment

  • The study programme is not subject to admission restrictions.

  • The enrolment period for the winter semester begins at the beginning of June.

  • The end of the enrolment period is determined anew each year, please enquire in the application portal during the enrolment period.

Different rules apply in some cases for international applicants. More...


Career Options

Career Options

Further studies at JLU

Master's programme „Data Science“, depending on the choice of specialisation, Master's degree programme „Bioinformatics and systems biology“, „Mind, Brain and Behavior“, „Economic geography, mobility and spatial development policy“, „Applied Physics“

Following a successfully completed Master's degree, a doctorate is possible. Doctoral Regulations for the Departments of Natural Sciences


Occupational fields

Graduates who have mastered the methods and concepts of applied computer science are in demand in almost all areas of science, industry, business and administration. Tasks range from software development to the administration and further development of existing platforms to relevant consulting.

Further Information

More Information - 1

Examination- and study regulations


Courses offered in the course catalogue

More Information - 3

Do you want support in choosing the study programme of your choice?


AksJustus: transparentHow do I find my desired study programme?
Ask Justus bietet Informationen und Hilfe zur Studienwahl.


Is my desired subject fitting?
ReadyForJustus: transparentReady for Justus is a so-called online self-assessment, i.e. you answer a series of questions and learn more about whether you and your chosen degree programme are a good match - and of course you will also receive an evaluation.


Events for prospective students
There is a whole range of event offers, the current offers can be found in our News:


Student advisory service
Angewandte Informatik

PD Dr. Matthias Wendlandt

Institut für Informatik
Arndstr. 2, Raum 24
35392 Gießen
Tel.: 0641 – 99 32152

Central Student Service
Central Student Services

Directions and welcome desk