Data Science
University of Augsburg
Degree
Master of Science
Language
English
Tuition
Free
Duration
4 semesters
Programme Overview
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. The programme includes compulsory courses in mathematics and computer science and offers a wide range of application areas in collaboration with adjacent departments: Medicine, Economics, Engineering, Geography, Material Science, Physics and others.
Admission Requirements
- Academic requirements
Applicants undergo an aptitude test.
- Minimum GPA
- No fixed minimum GPA is published on the current official programme page.
- English requirements
- 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 requirements
- German language skills are not required.
- Accepted bachelor fields
- Mathematics, Computer Science and related areas
- APS Certificate
- Yes
- Thesis required
- Yes
Costs & Funding
- Tuition fee
- None
- Semester contribution
- approx. 160 EUR per semester
- ECTS credits
- 120
- Funding info
Tuition: None Semester contribution: approx. 160 EUR per semester
Career Outcomes
Typical job roles
Target industries
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Programme details
- Degree
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Mode
- full-time
- Start
- Winter and summer semester
- Deadline
- 01 March (annual)
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