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The study program QST goes significantly beyond the standard teaching program of quantum mechanics as in modern application of quantum technologies (Quantum2.0), the concepts of superposition and entanglement are of central importance. Owing to the complexity of the field, the study program QST aims at students which will work at the forefront of quantum science and who will expand the existing research areas in natural sciences (e.g. physics and chemistry), mathematics and engineering (e.g. computer science and electrical engineering).

The courses available within the QST Master’s program cover the basics and the skills required to successfully carry out research or industrial projects across interdisciplinary boundaries. In addition to the necessary background knowledge and practical know-how, the self and social skills required in the academic or industrial environment will be promoted. This profile is intended to enable graduates to be deployed in a wide range of research, industrial and service industries. Typical fields of application for the graduates of the QST Master’s program are in experimental and theoretical research activities, in the planning and documentation of research projects as well as in adjacent fields of activity of the computer science and technology industry, for example in patenting, development, project planning or in public institutions.


The QST Master’s program is designed for a two-year period in which students will experience research-related training at the interface between natural sciences, engineering and mathematics, and gain early insight into current research at the highest international level. The Master’s program combines the world-renowned study and research programs of two of Germany's leading Universities on an equal footing. Students can enroll in classes offered at both universities to design their individual curricula.

Program Structure

Computer science is combined with a 90-credit core subject as a 60-credit module. Computer science is combined as a 30 CP module with a suitable 120 CP core subject or a 90 CP core subject and a further 30 CP module offer.

The course in computer science as a 60 or 30 credit point module is divided into a compulsory area and an elective area with advanced modules in computer science.

The course regulations regulate the structure and process of the course. It contains detailed descriptions of the content and qualification goals of each individual module and an exemplary course plan. The examination regulations define the type and requirements of the module examination. In the regulations, the credit points (CP) for each module or event as well as the workload in hours for the entire course are specified.

Computer science as a 60 CP module offer

Compulsory computer science

module Functional programming
module object oriented programing
module Logic and discrete mathematics for the teaching profession
module Database systems
module Basics of theoretical computer science
module Algorithms, data structures and data abstraction

Compulsory elective area of ??computer science

module Computer architecture
module Operating and communication systems
module Software engineering
module System administration
module Software project B
module Non-sequential and distributed programming for teacher training
module Effects of computer science
module Social aspects of computer science
module Basics of technical informatics
module Research internship
module Scientific work in computer science

In addition, modules from the Master’s program in Computer Science of the Department of Mathematics and Computer Science at Freie Universität Berlin can be selected for individual in-depth study.

Computer science as a 30 CP module offer

Compulsory computer science

module Computer science A
module Computer science B

Compulsory elective area of ??computer science

module Effects of computer science
module Database systems for the minor
module Basics of theoretical computer science for the minor
module Non-sequential programming
module Distributed programming

Career Prospects

Bachelor graduates have scientific knowledge and practical skills that qualify them for a job or a postgraduate course. Since computer science is studied as a module as part of a combined bachelor's degree, the chosen core subject shapes the professional qualification.

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