Web and Data Science

DE

Standard period of study

4 semesters

Language

English

Format

In presence

Admission restriction

no

Overview

Contents and structure

Overview
Contents and structure
Prospects
Further info
Further links
Contact

The international programme in Web and Data Science is the first of its kind in Germany. It is directed towards students aiming to extend their scientific skills, to qualify for leading positions by sharpening their profile and to advance their personal development.

Overview

The master programme in Web and Data Science covers specialized knowledge for analysing data and for designing and developing Web and data-intensive systems. Key to such development and analysis is the understanding of the Web and data ecosystems as being multi-faceted, governed by technologies, economics, and social interactions of humans, interest groups, companies and governments.

The Master program prepares the graduate for independent academic work, lays the foundations for further achievements in the subject area, and provides the skillset for continuing doctoral studies. It is a qualification for the ability to conduct complex tasks responsibly, with a focus on scientific soundness, intellectual independence, which are prerequisites for all kinds of research.

Degree

Master of Science

Standard period of study

4

Start of programme

Winter semester

Application deadline for winter semester

10th of October 2025

Application deadline for winter semester for internationals

EU citizens:	15th of July 2025
Non-EU citizens:	15th of June 2025

How to apply

Teaching language

English

Admission restriction

no

Admission requirements

An English language certificate (TOEFL with 79 or more points, Cambridge Certificate at level auf B2 or IELTS with at least 6.5 points)

A Bachelors' degree in Computer Science, Computational Visualistics, Information Systems or a Bachelors’ degree with comparable curriculum with an overall grade of 2.5 ("good") or better

Contents and structure

Introduction to Web Science, Network Theory and Dynamic Systems, Engineering Web and Data-intensive Systems
Introduction to Data Science, Big Data und Machine Learning and Data Mining
Compulsory elective subjects from the field of computer science related to Web and Data Science
Compulsory elective subjects from any interdisciplinary field related to Web and Data Science

Prospects

Apart from its strong academic focus, the program has a clear focus on employability. Whether you are entering the job market, want to fulfil executive position, progress from your current position, or are looking for a career change, the course provides the right skill set to:

collect and use relevant data to influence business decisions
develop Web systems, Web strategies and Web and data ecosystems
provide substantial practice for strategic communication via data science

Further info

Academic requirements

The programme requires competencies acquired in a preceding Bachelor study programme, which is equivalent to Computer Science studies of type 1 (core computer science) or type 2 (computer science with specific application subject). The overall grade must be 2.5 or better (CGPA 65% or grade B).

Non-academic, practical experience in computer science will not be taken into account.

Applicants should have written a scientific work in their previous studies, typically in the form of a bachelor thesis.

Students subscribing to the Web and Data Science are expected to possess the following competencies, skills, and knowledge:

Skills in programming and analyzing basic data structures and algorithms.
Basic knowledge in the design, modeling, and testing of software according to the software development process.
Understanding of formal foundations and principles of programming languages.
Basic knowledge in analysis, linear algebra, discrete mathematics, and logic.
Skills in academic writing and presenting.
Basic understanding of formal languages, automata theory, and computational complexity theory.

Applicants are expected to reflect on these academic requirements in a motivational letter.

Language requirements

A standardized English language certificate is required; any proof that your previous studies were held in English is not sufficient and not negotiable. We accept three types of language proficiency certificates:

a TOEFL result of at least 79 (internet based/ Home Edition), 550 (paper-based) or 213 (computer based)
IELTS test with 6.5 points minimum
Cambridge certificate at level B2 or higher