- Degree
- Master of Science
- Course location
- Hannover
- Teaching language
- • German
• English
- Languages
- There are elective courses – 35% of the elective courses are English and 65% of the elective courses are German. The choice is limited in English, but there are enough modules in English to complete the degree programme. Participants can choose to write their Master's theses in either language. Basic knowledge of German for administrative processes is an advantage.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Application deadline
- Application from students from non-EU countries (VPD from uni-assist is required (https://www.uni-hannover.de/en/studium/vor-dem-studium/bewerbung-zulassung/studienplatzbewerbung/master-application-for-prospective-students-from-outside-the-eu#c81300).)
• 15 April to 31 May of the year for the winter semester
• 15 October to 30 November of the previous year for the summer semester
Application from students from Germany and the EU
• 1 June to 15 July of the year for the winter semester
• 1 December to 15 January of the year for the summer semester
Prospective students applying from outside the EU must request a Preliminary Examination Documentation (VPD) from uni-assist before applying to the Master's programme. The processing time for the VPD takes up to eight weeks. Therefore, please allow enough time before applying for the programme. More information about applying for the VPD can be found on the central application pages (https://go.lu-h.de/apply-for-vpd).
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- In this Master’s degree programme, students expand on computer science subjects of their choice, e.g. computational health informatics, knowledge based systems, data science and digital libraries, visual analytics, scientific data management, database and information systems, empirical information security, machine learning, natural language processing, software engineering, human-computer interaction, usable security and privacy, real time systems, systems and computer architecture, dependable and scalable software systems, digital education and didactics of computer science, and theoretical computer science. In addition, students can also take a subsidiary subject, several basic computer science courses, and an industrial placement. Within the Studium Generale, students can gain key transferable skills such as foreign languages, visualisation and presentation, communication skills and team skills. The degree programme concludes with the Master’s thesis in the fourth semester. As part of the Master’s degree in computer science, you can set a thematic focus in your studies. You can choose between "Data Science", "Human-Centred Computing" and "System-Related Computer Science". At the end of your studies, you will receive a corresponding certificate from the faculty. For this, you must complete at least 45 CP (without a Master's thesis) in one of the specialisations.
However, the choice is limited in the individual module groups. Currently, there are English modules in the module groups data science and digital libraries, machine learning, dependable and scalable software systems, knowledge based systems, scientific data management and natural language processing. There are enough modules in English to complete the degree programme.