OverviewData 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
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.
- 129 with the mandatory area,
- 27 with the elective subjects,
- 12 with the study project and
- 12 with the Bachelor thesis.
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 semester 2nd 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 semester 4th 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 semester 6th 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
- 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...
Application / Enrolment
This year, other application and enrolment deadlines may apply.
Please refer to this page for information on the deadlines.
- More Information - 1
Examination- and study regulations
Please note that only the German version of the modules is offical and legally binding. The english Version is for informative purposes only.)
Courses offered in the course catalogue
- (in German)
- More Information - 2
Bachelor's programmes of Faculty 07
- More Information - 3
Do you want support in choosing the study programme of your choice?
How do I find my desired study programme?
Ask Justus bietet Informationen und Hilfe zur Studienwahl.
Is my desired subject fitting?
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:
- Study counseling
Prof. Dr. Christian Heiliger
Department for theoretical physics
Heinrich-Buff-Ring 16, room 422
Tel.: 0641 - 99 33360