Societal specialisations - Master specific requirements for Computing science
The Societal specialisations Science in Society (SIS) or Science, Management and Innovation (SMI) can provide interesting career options for students in Computing Science, for instance in modelling the energy future at a consultancy or large energy company, developing applications in the field of e-Health, or Big Data applications in the climate prediction or energy sectors.
The first year of the societal specialisations for Computing Science is to be selected from discipline related courses from the first year of the master specialisations Software Science or Data Science, comprising 51 ec:
- Software Science or Data Science specialisation basic courses (18 ec)
- Software Science or Data Science specialisation electives (24 ec)
- Software Science or Data Science research seminar (6 ec)
- NWI-IMI003 Philosophy and Ethics for computing and information sciences (3 ec)
In addition to the discipline related courses, the first year contains 9 ec free electives. The second year programme of the SIS or SMI also contains 3 ec free electives, together making up 12 ec free electives.
NB: Programme components are to be chosen within the same specialisation, so it is not possible to mix Data Science and Software Science specialisation courses and electives.
In the second year, the regular SIS or SMI specialisation programme containing the societal theme courses is done (for more information about these programmes, see their main prospectuses). The SIS courses and projects are offered by the Institute for Science, Innovation and Society (ISIS).
For students in the master specialisation Digital Security, the SMI specialisation can be done by taking the SMI Business & Policy courses in the Electives space, and by making the final research project a combined SMI/Digital Security research project.