Data Science
University of Augsburg
Program 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 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.
EURFinancials
Financials
INFOIntakes and Duration
Intakes and Duration
Intake Season
Winter (October); Summer (April)
Duration
4 semesters
COCareer Outcomes
Career Outcomes
You can always explore various career paths after completing this program. The listed options are some of the most popular among graduates.
EURSalary Outlook
Salary Outlook
Typical range
€60,000 – €105,000 per year
Fresher, mid-level, and experienced ranges are linked to external sources so they stay auditable for applicants.
LANGLanguage & Exams
Language & Exams
Teaching Language
English
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 .
REQRequirements
Requirements
Academic Admission
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)
APS Certificate
An APS certificate is required for applicants who have completed their qualifying education in India, China, or Vietnam.
IELTS Score
Not specified
Application Deadline
Application deadlines are subject to changes. Please refer to the above university course link for the most accurate information.
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