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, computer science, natural sciences and engineering. Who can apply? The scholarship programme is aimed at high-achieving students from developing and emerging countries who would like to complete a Master’s degree in
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available in the further tabs (e.g. “Application requirements”). Programme Description This scholarship was created to enable for more qualified female engineering students to pursue a Master’s degree
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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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uploaded as described on the website. The following documents are required (in English): proof of current enrolment in a Master's or doctoral programme (if you are currently studying) or proof of your PhD
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to the DAAD for a scholarship, you must provide proof of your level of proficiency in the language of instruction (German, English, or German and English) in your chosen study programme. If the language of
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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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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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available in the further tabs (e.g. “Application requirements”). Programme Description Research work (Master's theses, doctoral theses, Postdocs) in the field of natural sciences is eligible for funding
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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