The study programme can be completed entirely in English. In the compulsory elective area, a few courses are also offered in German.
The lecture period generally runs from mid-October to the beginning of February in the winter semester and from mid-April to the end of July in the summer semester. The exact lecture times at the University of Regensburg can be found here: https://www.uni-regensburg.de/studies/semester-calendar/index.html.
The degree programme is designed as a face-to-face course, and certain courses are also offered online.
1 June for the following winter semester, 1 December for the following summer semester
Non-EU applicants are strongly advised to apply for the winter semester by 15 April at the latest and for the summer semester by 15 October at the latest in order to be able to apply for a visa as soon as possible if they are admitted.
Data scientist, AI expert, data engineer, data analyst – you can be all of these with your degree from the Master's degree programme in Data Science. In addition, all doors are open to you in application fields of data science, such as biomedical research, the technology industry, business or other future-oriented fields. Your MSc in Data Science will prepare you to develop innovative solutions for complex problems and to work in an interdisciplinary field. During your studies, you can deepen or expand your knowledge in advanced topics of statistics and machine learning and specialise in specific areas of application.
The degree programme is divided into:
Not to be missed: the compulsory area
Advanced knowledge of current trends in deep learning and reinforcement learning is essential for us when studying data science. You will acquire this at the beginning of your studies in the lecture "Modern Machine Learning" with associated lab (6 CP). Two elective modules allow you to complete courses from computer and data science or from other subject areas according to your own interests (12 CP each). The compulsory area is completed by a seminar on current topics in data science (6 CP) and the Master's thesis module (30 CP).
It all comes down to the core: the compulsory machine learning and statistics elective area
You choose modules worth at least 12 CP from 11 planned modules, all of which are dedicated to central topics in data science and machine learning. Examples of modules are Statistical Machine Learning, Advanced Statistics I and II, Advanced Explainable AI, Advanced Data Engineering, Digital Image Processing – AI-based approaches, etc.
Whatever you want: the specialisation elective area
You can choose from four specialisations during your studies. You must choose one of these as a specialisation by completing modules amounting to at least 42 CP from the specialisation (according to specified regulations). You can choose between the specialisations:
In all specialisations, there is a compulsory elective area, so that you can also choose modules within a specialisation according to your interests. The choice of a specialisation is mandatory.
Our courses
You will mainly attend lectures with accompanying exercises, seminars and project seminars or internships. In lectures with accompanying exercises, you will be taught knowledge and methods that you can apply yourself in the exercises, whereby you will acquire subject-specific skills through your own application. In the tutorials, exercises are usually offered as coursework, which are compulsory or can be completed voluntarily. The examination usually consists of a written or oral examination in which the acquired knowledge and the ability to apply methods are tested. Seminars pursue the primary goal of enabling you to independently explore a scientific field of data science, to grasp the state of research on a current topic and to design, prepare and critically evaluate scientific presentations and texts. In these cases, a presentation on a selected topic is therefore planned as coursework, while the examination consists of a written paper. In all specialisations of the MSc Data Science, (project) seminars and practicums are offered in which students (usually in teams) gain experience in research practice and independently carry out a research project in preparation for the final thesis. This research project includes a presentation of the planned project as coursework, and a project paper or its documentation is usually required as an examination.
Our programme
Studying for a Master's degree in Data Science at the University of Regensburg means that you will become an expert in one of the key disciplines of our time at the interface of statistics, computer science and applied sciences. You can choose which specialisation you would like to focus on. For a successful degree, you have to complete a total of 120 CP through:
In the first three semesters of your studies, you will complete courses from the compulsory area, the compulsory elective area "Machine Learning and Statistics" and the compulsory elective area "Specialisation". In the fourth semester, you can devote yourself entirely to your Master's thesis project (see also the attached PDF on course organisation).
All courses and modules of the degree programme are taught in English.
Student service fee: approx. 180 EUR per semester (includes a public transport ticket valid for the entire semester)
You will need a minimum of about 950 EUR per month (including rent, food, clothing, insurance, books, and study materials).
Students from non-EU countries can apply for the study grant for international students in financial need at the University of Regensburg. Also see: https://www.uni-regensburg.de/ur-international/incomings/pursuing-a-degree-program/founding/index.html.
If you want to study the MSc Data Science at the University of Regensburg, you should have:
Further details on the requirements as well as further information on the admission procedure, deadlines and necessary documents will be available on our website: https://www.uni-regensburg.de/informatics-data-science/faculty/study-at-fids/prospective-students/new-masters-degree-programs-at-fids/index.html.
Adequate English language skills at level C1 of the Common European Framework of Reference for Languages (CEFR) are required. Students whose language of study has not been English must provide proof of this by means of a recognised language test such as the "Test of English as a Foreign Language" (TOEFL) (at least 79 points) or the "International English Language Testing System" (IELTS) (at least 6.5 points) or equivalent proof. If the final thesis (Bachelor's thesis) was written in English, this is also a proof of adequate English language skills.
No knowledge of German is required, but it is recommended that students acquire a knowledge of German during their studies.
1 June for the following winter semester, 1 December for the following summer semester
Non-EU applicants are strongly advised to apply for the winter semester by 15 April at the latest and for the summer semester by 15 October at the latest in order to be able to apply for a visa as soon as possible if they are admitted.
https://campusportal.uni-regensburg.de/qisserver/pages/cs/sys/portal/hisinoneStartPage.faces
Students from EU member states and Switzerland do not need a work permit. Students from non-EU states who are registered at a German university are allowed to work 140 days per year.
Please note that almost all employers require good German language skills.
The International Office will try to assist students in finding a room in a student dormitory or on the private market. The price for a room in a student dormitory ranges from approx. 300 EUR to 450 EUR per month.
For more information about student housing, please contact international.accommodation@ur.de.
The Marketing and Career Service of the University of Regensburg supports all students in their professional orientation during their studies (https://www.uni-regensburg.de/wirtschaftswissenschaften/service/marketing-career/startseite/index.html).
Students can contact the Central Student Advisory Service of the University of Regensburg, the Student Advisory Service of the individual subjects of the Faculty of Informatics and Data Science and the course coordination of the Informatics and Data Science courses at the Faculty of Informatics and Data Science. For international students, the International Office also offers a point of contact for all questions relating to studying. In addition, the University of Regensburg has a wide range of other advice centres for special concerns and life situations (including learning advice, family service). An overview can be found at https://www.uni-regensburg.de/studies/home/index.html.
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