Data Science University of Augsburg

The language of instruction is English. Some elective courses may be taught in German, but it is possible to complete the programme entirely in English.

The MSc Data Science offers a comprehensive education in the concepts and methods of data science, incorporating knowledge and methodology from Computer Science and Mathematics. Special emphasis is placed on the sound training of fundamental (mathematical) concepts as to be able to competently assess the properties and limitations of the methods. The main topics are: 

• Machine Learning (ML), AI, and Deep Learning 

• Statistics, Matrix Algorithms, and mathematical foundations of ML 

• Data Structures, Algorithms and Optimisations for Big Data 

• Data Engineering with Big Data Infrastructures and Data Wrangling 

As the programme includes compulsory courses in mathematics and computer science, we expect candidates to have a strong background in both areas.

The programme offers a wide range of application areas in collaboration with adjacent departments: Medicine, Economics, Engineering, Geography, Material Science, Physics and others. It provides close connections to industry and research. The field of data science as a modern interdisciplinary science underpins the process of digitalisation and the effective utilisation of data in many application areas.

For every winter semester:

• 1 September
• Non-EU applicants: Due to visa issues we strongly recommend to apply well ahead (suggested: 1 May). Early admission will be granted to allow sufficient time for visa processing.

For every summer semester:

• 1 March
• Non-EU applicants: Due to visa issues we strongly recommend to apply well ahead (suggested: 1 December). Early admission will be granted to allow sufficient time for visa processing.

The programme consists of the following course categories (called module groups)

• Core Data Science Methods (32 credits)
  • Algorithms and Data Engineering
  • Machine Learning
  • Mathematical Foundations
• Advanced Data Science Methods / Elective Courses (at least 36 credits)
  • Broad range of elective modules in mathematics and/or computer science e.g. Quantum Algorithms, Statistics, Optimisation, Modelling, Deep Learning etc.
• Scientific Project Work
  • Data Science Project (10 credits)
  • Seminar: Mathematics and Computer Science (4 credits each)
  • Social Aspects of Data Science / Ethics (4 credits)
• Master's Thesis (30 credits)

• The UniA Language Centre provides excellent opportunities for learning many different languages (not mandatory in the curriculum).
• The international office offers intercultural events, language buddies, intercultural buddies and many more intercultural experiences.
• It is possible to study abroad in another EU country, e.g. as part of the ERASMUS exchange programme (with funding opportunities). Click here for a list of partner universities.
• It is possible to study abroad in multiple partner universities worldwide, e.g. as part of the WeltWeit exchange programme.
• This programme is taught in English and is intended for students from all over the world with backgrounds in computer science, mathematics or related fields. We are committed to make studies affordable for international students: There are no tuition fees at the University of Augsburg for any student. We embrace cultural diversity. Our excellent student counselling services and the International Office provide individual support for students from all cultural backgrounds.

No tuition fees

Administration fee of approx. 160 EUR per semester

This encompasses the contribution to the student union (responsible for cafeterias, housing opportunities and more student services) as well as the semester ticket (for public transport).

Admission is possible for students with a (nearly completed) Bachelor's degree in Mathematics, Computer Science and related areas. Applicants undergo an aptitude test. More specifically, we expect students to show proof of sufficient previous knowledge in the following areas:  

• Multivariate Calculus/Analysis (at least 5 ECTS CP)
• Linear Algebra (at least 5 ECTS CP) 
• Fundamentals of (Higher) Programming Languages (at least 4 ECTS CP) 
• Practical Programming Experience (at least 4 ECTS CP), e.g. by practical exercises or a lab course 
• Algorithms or Numerical Methods (at least 5 ECTS CP) 
• Discrete Structures/Mathematics, Databases or Data Engineering (at least 5 ECTS CP) and
• Data Science or Machine Learning (at least 4 ECTS CP)

English language at B2 level (can be proven for most countries by high school diplomas, an English language test certificate is in most cases not required)

German language skills are not required.

For every winter semester:

• 1 September
• Non-EU applicants: Due to visa issues we strongly recommend to apply well ahead (suggested: 1 May). Early admission will be granted to allow sufficient time for visa processing.

For every summer semester:

• 1 March
• Non-EU applicants: Due to visa issues we strongly recommend to apply well ahead (suggested: 1 December). Early admission will be granted to allow sufficient time for visa processing.

For possible scholarship opportunities, please consult https://www.uni-augsburg.de/en/studium/studieren-augsburg/stipendien/. Please note that in the German university system, grants are less commonly available than in some other countries. In particular, it is unlikely that you will be able to obtain a scholarship before beginning your studies. If you are considering applying for a scholarship after your first semester, please refer to the open scholarship announcements from the International Office.

• A welcome event will be hosted by the International Office shortly after admission.
• A buddy programme for intercultural exchange is organised by the International Office.
• Counselling is provided by the Student Counselling Services.
• You can receive support on visa matters from the Academic Immigration Office.
• The International Office provides tips for finding accommodation.