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Students of Computer Science focus on the planning, modelling, design and implementation of complex software and hardware systems and processes.
The Master’s degree programme in Data and Computer Science enables students to further their knowledge of the concepts, models and technologies which they will have come across in the Bachelor’s degree programme in Computer Science. As well as furthering their general subject knowledge and understanding of their specialisms, students also gain additional academic skills. The Master’s degree programme is characterised by its flexibility as students select a specialism, enabling them to further their knowledge in a specific area such as Information Systems Engineering or Computing Engineering. Specialisation is also possible in regards methods and processes for analysis, modelling, and simulations in the context of complex and distributed systems. The course of study is enriched by close collaboration with the Interdisciplinary Center for Scientific Computing (Interdisziplinären Zentrum für Wissenschaftliches Rechnen, IWR), which particularly enhanced students’ understanding of the optimisation and simulation of complex phenomena in the field of Earth Sciences.
Graduates of the programme will demonstrate the following:
They will be able to independently plan, design and evaluate comprehensive computing systems and software projects in line with predefined technical and economic requirements.
Graduates possess advanced knowledge in one or more areas of specialisation such as data analysis, requirements engineering, distributed systems, or information systems. They are able to apply this knowledge in practice during the design and development of computing systems.
Graduates are able to break complex information systems down into abstract components (software and hardware) and propose, evaluate, plan and instigate implementation options in view of requirements.
Graduates are able to work independently to master new technologies within the field of computer science and related fields. They can apply this knowledge in projects, communicate specialist information and develop specialist knowledge.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Students of Computer Science focus on the planning, modelling, design and implementation of complex software and hardware systems and processes.
The Master’s degree programme in Data and Computer Science enables students to further their knowledge of the concepts, models and technologies which they will have come across in the Bachelor’s degree programme in Computer Science. As well as furthering their general subject knowledge and understanding of their specialisms, students also gain additional academic skills. The Master’s degree programme is characterised by its flexibility as students select a specialism, enabling them to further their knowledge in a specific area such as Information Systems Engineering or Computing Engineering. Specialisation is also possible in regards methods and processes for analysis, modelling, and simulations in the context of complex and distributed systems. The course of study is enriched by close collaboration with the Interdisciplinary Center for Scientific Computing (Interdisziplinären Zentrum für Wissenschaftliches Rechnen, IWR), which particularly enhanced students’ understanding of the optimisation and simulation of complex phenomena in the field of Earth Sciences.
Graduates of the programme will demonstrate the following:
They will be able to independently plan, design and evaluate comprehensive computing systems and software projects in line with predefined technical and economic requirements.
Graduates possess advanced knowledge in one or more areas of specialisation such as data analysis, requirements engineering, distributed systems, or information systems. They are able to apply this knowledge in practice during the design and development of computing systems.
Graduates are able to break complex information systems down into abstract components (software and hardware) and propose, evaluate, plan and instigate implementation options in view of requirements.
Graduates are able to work independently to master new technologies within the field of computer science and related fields. They can apply this knowledge in projects, communicate specialist information and develop specialist knowledge.
Admission Requirements
Applicants for a Master's degree programme must have successfully completed a first university degree programme at a German or international university that qualifies them to enrol in the desired Master's programme.
30 Sep 2026
2 Years
Oct
Tuition fees
Domestic
0 EUR
International
3,000 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master of Science in Data and Computer Science
Grabengasse 1, 69117 Heidelberg,, Germany
# =165QS Subject Rankings
24 monthsProgramme duration
3,000 EURTuition Fee/year
30 Sep, 2026Application Deadline
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Students of Computer Science focus on the planning, modelling, design and implementation of complex software and hardware systems and processes.
The Master’s degree programme in Data and Computer Science enables students to further their knowledge of the concepts, models and technologies which they will have come across in the Bachelor’s degree programme in Computer Science. As well as furthering their general subject knowledge and understanding of their specialisms, students also gain additional academic skills. The Master’s degree programme is characterised by its flexibility as students select a specialism, enabling them to further their knowledge in a specific area such as Information Systems Engineering or Computing Engineering. Specialisation is also possible in regards methods and processes for analysis, modelling, and simulations in the context of complex and distributed systems. The course of study is enriched by close collaboration with the Interdisciplinary Center for Scientific Computing (Interdisziplinären Zentrum für Wissenschaftliches Rechnen, IWR), which particularly enhanced students’ understanding of the optimisation and simulation of complex phenomena in the field of Earth Sciences.
Graduates of the programme will demonstrate the following:
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Students of Computer Science focus on the planning, modelling, design and implementation of complex software and hardware systems and processes.
The Master’s degree programme in Data and Computer Science enables students to further their knowledge of the concepts, models and technologies which they will have come across in the Bachelor’s degree programme in Computer Science. As well as furthering their general subject knowledge and understanding of their specialisms, students also gain additional academic skills. The Master’s degree programme is characterised by its flexibility as students select a specialism, enabling them to further their knowledge in a specific area such as Information Systems Engineering or Computing Engineering. Specialisation is also possible in regards methods and processes for analysis, modelling, and simulations in the context of complex and distributed systems. The course of study is enriched by close collaboration with the Interdisciplinary Center for Scientific Computing (Interdisziplinären Zentrum für Wissenschaftliches Rechnen, IWR), which particularly enhanced students’ understanding of the optimisation and simulation of complex phenomena in the field of Earth Sciences.
Graduates of the programme will demonstrate the following:
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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