Data and Computer Science

Overview

The Master’s degree programme in Data and Computer Science from Heidelberg University 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.

Key Features

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.