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or Leipzig University. AI is viewed as an interdisciplinary undertaking that requires talents in computer science, engineering, mathematics, social science, law, the natural sciences, and application areas
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available in the further tabs (e.g. “Application requirements”). Objective The programme supports students from the Republic of Tunisia. Who can apply? The programme is aimed at applicants with a secondary
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? Master programme at a German university and, where appropriate, in conjunction with a non-university research Institution. Duration of the funding The scholarships for master studies have a maximum
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your academic education in Germany with a postgraduate course
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Helmut-Schmidt-Programme (Master’s Scholarships for Public Policy and Good Governance - PPGG) • DAAD
available in the further tabs (e.g. “Application requirements”). Objective The DAAD Helmut-Schmidt-Programme (known as Public Policy and Good Governance) supports future leaders from developing countries (see
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Germany as part of their Master degree programme (e.g. double degree programmes) or who take part in an exchange programme at a German partner university for a year are also not eligible for funding
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available in the further tabs (e.g. “Application requirements”). Programme Description Sustainable development is the cornerstone to preserving our planet for the future, and digitalisation is key
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Mechanical Engineering, M. Sc. Management and Engineering in Computer Aided Mechanical Engineering, M. Sc. Management and Engineering in Production Systems, M. Sc. Robotic Systems Engineering, M. Sc. Smart
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Master's degree programme at a state or state-recognised German university Duration of the funding 1 to 2 years Value Monthly scholarship payment of 992 euros Medical, accident and personal liability
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with