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Beuth University of Applied Science and Technology

Berlin

Data Science

Subjects: Data Science,Science,Technology,Data

M.Sc. | Master of Science

⏳  Duration
4 Semesters
🔠 Teaching Language
English
💶  Application Fee non-EU
No information

💶  Cost per Semester
312 EUR

💶  Tuition Fees per Semester
No information
⏱️ Application Deadline Summer
No information

⏱️ Application Deadline Winter
15.06.

Course description

Our curriculum blends advanced computer science methods with mathematics. As a Data Science student, you'll master scalable database technologies and apply statistical knowledge to build predictive models. Data Science empowers companies to create new data products, and learning to market and promote these products is crucial. You'll learn to measure the effectiveness of data products and communicate their value in commercial settings. After covering the basics of Data Science in Computer Science and Statistics, you'll explore a wide range of Machine Learning methods. You'll also delve into essential tools and practices like data preparation and big data analytics, applying them in real-world scenarios. Additionally, you'll have the chance to develop an innovative idea from start to finish, either by creating a startup or collaborating with leading companies in Berlin. Our program also addresses important considerations such as ethics, responsibility, data privacy, and the economics of data products. Your Master’s thesis will contribute to a current research project, an industrial partnership, or a startup idea.

Program Information

Study Location Berlin
Start Semester Winter
Study Form Full-time
Study Type Postgraduate
Teaching Language English
Dual No
Remote No
Application Fee non-EU No information
Study Length 4 Semesters
Tuition Fees per Semester No information
Cost per Semester 312 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
No information
⏱️ Application Start Winter
15.04.

⏱️ Application Deadline Winter
15.06.

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Application Requirements

Language Requirements

CEFR B2
IELTS No information
Cambridge (CAE) No information
TOEFL IBT No information

Language Level B2 in English

Qualification Requirements

Language Level B2 in English At least 20 ECTS in Mathematics & Statistics, e.G. Analysis, Linear Algebra, Numerical Analysis, Probability Theory, Data Modelling At least 25 ECTS in Computer Science, e.g. Programming, Databases, Distributed Systems, Application Programming A degree in "Medieninformatik", "Technische Informatik – Embedded Systems" or "Mathematik" of Beuth-Hochschule für Technik Berlin or an equivalent Bachelor with at least 180 ECTS will fulfil the ECTS criteria according to ZO §3 (2) a

Application Process

Acceptance Interview No
Acceptance local admission restrictions Restricted
Application directly at the University,
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