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Master of Science in Data Science

Master of Science in Data Science

University of Potsdam | United Kingdom

Master of Science in Data Science

Duration

2 years

Intake

Summer, Winter.

Degree

Master’s

Program Overview

The interdisciplinary master's program in Data Science combines content from computer science, mathematics, business informatics, and the natural sciences. Basic courses provide you with a comprehensive understanding of machine learning and deep learning, statistical data analysis, data assimilation, business analytics, and big data infrastructures. Advanced courses introduce you to the latest research in your chosen fields.

In seminars, you'll explore complex topics, and in the Applied Data Science module, you'll apply your acquired skills in practice. In the research module, you'll be involved in a research project at the University of Potsdam or one of the Potsdam research institutions. An industrial internship is optional. In the Berlin/Potsdam area, in addition to a vibrant startup scene, several big data companies are available.
 

The interdisciplinary master's program in Data Science combines content from computer science, mathematics, business informatics, and the natural sciences. Basic courses provide you with a comprehensive understanding of machine learning and deep learning, statistical data analysis, data assimilation, business analytics, and big data infrastructures. Advanced courses introduce you to the latest research in your chosen fields.

In seminars, you'll explore complex topics, and in the Applied Data Science module, you'll apply your acquired skills in practice. In the research module, you'll be involved in a research project at the University of Potsdam or one of the Potsdam research institutions. An industrial internship is optional. In the Berlin/Potsdam area, in addition to a vibrant startup scene, several big data companies are available.
 

Key Information

University

University of Potsdam

Campus

Golm, Germany

Total Credits

120 ECTS

Study Mode

Full-time

Loan Availability

No

Program Detail

Duration

2 years

Tuition Fee:

Format

Full-time

Attendance:

On Campus Learning

Study Gap:

10 years and more

Fees & Funding:

Course Structure

Course Structure:

Compulsory modules:    48 LP
Machine Learning    9 LP
Statistical Data Analysis    9 LP
Bayesian Inference and Data Assimilation    9 LP
Data Infrastructures and Software Engineering    6 LP
Data Science and Business Analytics    9 LP
Applied Data Science    6 LP
Elective modules:    42 LP

Research module     
Research module A or B. 12 or 15 LPs
Extension modules             
Advanced Machine Learning A, B    9 or 6 LP
Advanced Statistical Data Analysis A, B    9 or 6 LP
Advanced Data Assimilations and Modeling A, B    9 or 6 LP
Advanced Infrastructures and Software Engineering A, B    6 LP
Advanced Business Analytics A, B    9 or 6 LP
Advanced Applied Data Science A, B    9 or 6 LP
Mathematical Foundations of Data Science A, B    9 or 6 LP
Computer Engineering for Big Data    6 LP
Computational Foundations of Data Science    6 LP
Research Data Management, Law, and Ethics    6 LP
Applied Data Science Internship    12 LP
Advanced Problem Solving Techniques    9 LP

Bridge modules    12 LP
Foundations of Computer Science    6 LP
Foundations of Stochastics    6 LP

Master's thesis,    30 LP
 

Entry Requirement

Academic

Language

IELTS - IELTS 6.5

TOEFL - 88

How To Apply

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