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Data Science (B.Sc.)

Taught in German




Data science, the analysis of large amounts of data, e.g. using methods of artificial intelligence and machine learning to extract useful information, has become an integral part of today's society. "Big Data", whether from social media, market and risk analyses in business and industry, experiments in physics and chemistry, language analyses, imaging methods in medicine, bioinformatics or climate modelling, determines day-to-day business in broad areas of the natural sciences, life sciences and humanities as well as in business, the industry and logistics. Well-trained and highly qualified junior staff in the professional field of "Data Scientist" are therefore needed in many areas.

The Bachelor's programme in "Data Science" planned for the winter semester 2020/21 at JLU was introduced in order to fulfill this demand. In the six-semester Bachelor's programme, students will acquire the necessary knowledge in the fields of programming (Python, C++, R), mathematics (algebra, statistics), modelling, but also methods of artificial intelligence and machine learning, database systems and ethical and legal principles in dealing with data. In addition to this basic knowledge, students will be given an insight into the various fields of application of data science throughout the university through a lecture series and a wide range of other options. Accordingly, the topic of the bachelor thesis can be chosen freely from the JLU institutes dealing with data science.

After this first professionally qualifying degree as a Data Scientist (B.Sc.), a consecutive four-semester Master's programme can follow. In addition to deepening methods and techniques taught in the Bachelor's programme in the first year, the focus here is on a stronger reference to fundamental research in the field of Data Science.

What you should bring

You should have an Interest in mathematics and computer science and have the ability to think analytically and logically. Knowledge of English should be present at the beginning of the programme. Programming skills and a certain affinity for technology are an advantage.
Students will need a laptop for their studies, as there are courses in which students work on a laptop.

Composition of the study programme

Composition of the study programme

Duration of studies

6 semesters - 180 credit points (CP)

Composition of the study programme

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

  • 129 with the mandatory area,
  • 27 with the elective subjects,
  • 12 with the study project and
  • 12 with the Bachelor thesis.
In the first year you will acquire the basics of mathematics, computer science and programming. These are further developed in the following semesters and supplemented by additional modules specifically related to data science.
In the third semester, there is also a lecture series in which working groups from different areas of the university introduce themselves, which are active in the field of Data Science and offer elective modules, study projects and Bachelor theses for students of the programme.

Finally, in the 6th semester, you will apply the knowledge you have acquired to a scientific problem within the framework of a study project followed by a Bachelor thesis.

In the elective section, you have a wide choice of courses from various subject areas (e.g. law, economics, archaeology, mathematics, physics, psychology, geography, medicine, chemistry).


Course of studies

1st semester2nd semester

Mathematical methods I

Mathematical methods II

Linear Algebra Discrete Structures
Fundamentals of Computer Science I Fundamentals of Computer Science II
Fundamentals of programming with Python Scientific modelling

Fundamentals of statistics



3rd semester4th semester

Lecture series Data Science

Fundamentals of data analysis with R

Basics of stochastics Object-oriented programming for data science
Database systems 
Elective area II
Atificial Intelligence II
Artificial Intelligence I Elective area I


5th semester6th semester

Statistics and simulation with R

Elective area IV

Scientific programming and data analysis Project
Elective area II
Data base Systems
Bachelor's thesis
Elective area III



Commencement of studies

only in the winter semester

Admission requirements

  • General higher education entrance qualification (= Abitur or comparable qualification), Fachhochschule entrance qualification, master craftsman's examination, higher education entrance qualification for professionally qualified persons. More...
  • Proof of internship (pre-study internship) is not required.
  • Please note that applicants with a foreign higher education entrance qualification are also required to provide proof of German language skills. 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 here.

Application / Enrolment

The intake capacity of this degree programme is not limited.
The application for the winter semester 2020/21 must be received by the Registrar's Office of the University of Giessen by September 30, 2020. Application portal

Please note that deadline extensions can be decided for degree programmes with no intake limitation. These are published in the application portal.

Different rules may apply to international applicants. More...

Please note:
This year, other application and enrolment deadlines may apply.
Please refer to this page for information on the deadlines.


Career options

Career options

Further studies at JLU

  • Master's programme Data Science planned for winter semester 2023/2024
  • A doctorate is possible after a successful Master's programme.

Occupational fields

Data Science is omnipresent.

Exciting applications can be found for example in:

  • Medicine: gene data analysis, tumour detection, pandemic simulation, ...
  • Natural science: particle physics, climate modelling, new materials, ...
  • Sociology: social media, social dynamics & processes, ...
  • Financial sector: algorithmic trading, credit analysis, fraud detection, ...
  • Linguistics: speech recognition, text generation, mood analysis, ...
  • Online trade: buyer profiles, individual product recommendations, market analysis, ...
  • Industry: process optimisation, product development, ...
  • Logistics: : goods cycles, traffic planning, ...

More information

More Information - 1

Examination- and study regulations


Courses offered in the course catalogue

More Information - 3

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


Study counseling

Prof. Dr. Christian Heiliger
Department for theoretical physics
Heinrich-Buff-Ring 16, room 422
35392 Giessen
Tel.: 0641 - 99 33360



Central Study Advisory Service

Central Study Advisory Service

Beate Pitzler (Dipl. Päd.) 

Central Study Service 2

Directions and reception of study service