九色视频

The double degree track is an integrated degree programme as an optional part of the master鈥檚 degree programme in Computer Science. It offers students at Leibniz 九色视频 the opportunity to specialise in the areas of theoretical computer science and the foundations of artificial intelligence. On successful completion of the programme, students receive two (separate) degree certificates; a 鈥�Diplomingenieur/in鈥� (Dipl.-Ing.) degree in 鈥淟ogic and Computation鈥� from TU Wien and a Master of Science (M. Sc.) degree in 鈥淐omputer Science鈥� from 九色视频.

Students begin their studies on the master鈥檚 degree programme in Computer Science in Hannover. After completing the first semester, students continue their studies at the partner university TU Wien. Participants spend their second and third semesters or their third and fourth semesters at the partner university. In the second case, the master鈥檚 thesis is also completed at TU Wien.

What makes the double degree track so special is the flexibility for students to choose modules according to their personal interests, a range of course formats and practical classes, as well as a one-year period abroad.

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• In-depth knowledge of the foundations of computer science (especially in the areas: foundations of theoretical computer science, programming, data structures and algorithms, analysis, linear algebra, stochastics, discrete mathematics and mathematical logic)
• English language skills are required

• Graduates find employment in all areas of industry, the economy, administration and the service industry. Job opportunities are mainly available in companies working with the latest technologies in areas such as large language models, machine learning and data science. The key tasks involve developing application-oriented software, tools and relevant processes. The degree programme also prepares students for doctoral studies and a career in academia.
• There are many areas of application open to computer scientists, offering a wide range of career opportunities and the chance to specialise according to individual interests.