DAAD Zuse School SECAI Scholarships for Master’s Students in AI
Join our WhatsApp Group
🇺🇸🇮🇳 FELLOWSHIP AT A GLANCE & STRATEGIC FOCUS
- Administering Body: United States-India Educational Foundation (USIEF)
- Funding Agencies: Shared bilateral funding from the U.S. Department of State and the Government of India
- Target Group: Indian Ph.D. scholars currently registered at a recognized Indian academic institution
- Fellowship Purpose: Conduct crucial pre-doctoral dissertation research, audit non-degree courses, and gain practical experience at a U.S. host university
- Grant Duration: 6 to 9 months
- Program Commences: August / September 2027
- Application Deadline: Wednesday, July 1, 2026 (23:59:59 India Standard Time)
The German Academic Exchange Service (DAAD), through the DAAD Zuse School SECAI Scholarships for Embedded Composite Artificial Intelligence (SECAI), has officially opened applications for its specialized Master’s degree scholarships. SECAI is an elite network designed to support outstanding local and international talents pursuing advanced training in Artificial Intelligence and its related computational or societal disciplines at TU Dresden or Leipzig University.
The DAAD Zuse School SECAI Scholarships program approaches AI as a broad, interdisciplinary undertaking. Rather than limiting funding strictly to core computer science, the program actively seeks candidates spanning engineering, mathematics, social science, law, natural sciences, and medicine who focus on the development, ethics, or integration of AI systems. The primary goal is to minimize financial burdens so that scholars can focus entirely on high-impact research, kick-start their academic paths, and interface with EU innovation networks.
Eligible Fields of Study & Academic Tracks
The DAAD Zuse School SECAI Scholarships support a variety of Master’s and Diplom level pathways at both host institutions, provided the student’s primary academic focus maps directly onto AI:
- Computer Science Tracks: Master of Science (M.Sc.) or traditional German Diplom programs in Computer Science, Data Science, or Software Engineering.
- Legal Dimensions of AI: Master of Laws (LL.M.) programs focused specifically on the data privacy, intellectual property, and regulatory frameworks governing automated technologies.
- Socio-Human Dimensions: Master of Arts (M.A.) programs exploring the human, psychological, and societal impacts of automation, digital ethics, and human-computer interaction.
- Application Areas: Interdisciplinary quantitative tracks where AI models are engineered for application fields, notably computer-aided medicine, advanced robotics, and natural sciences.
Mandatory Candidate Specifications & Academic Criteria
The international review panel enforces a strict selection standard heavily rooted in academic merit, while maintaining robust provisions for diversity and personal resilience through the DAAD Zuse School SECAI Scholarships.
| Evaluation Category | Institutional Selection Standard & Prerequisites |
| Academic Performance | Must demonstrate an above-average academic track record, typically with a cumulative grade point average of 1.7 or better after formal conversion to the German grading system. |
| Institutional Status | Must be currently enrolled in, or have applied for admission to, an eligible Master’s program at either TU Dresden or Leipzig University. (Parallel applications for admission and the scholarship are permitted). |
| Core Values & Diversity | Preference Track: Strong encouragement is given to Women in STEM subjects. Special personal circumstances such as systematic disadvantage, conflict displacement, or refugee status are fully considered by the panel. |
| Income Declarations | Any extra external income earned during the tenure must be declared. The monthly stipend may be adjusted if outside gross income exceeds €520 per month. |
ALSO READ: Apply for the voluntary Commonwealth Students’ Association Campus Ambassador Role 2026.
Required Application Documents Portfolio
To pass the primary administrative filter for the DAAD Zuse School SECAI Scholarships, candidates must compile and submit a consolidated, complete package. Incomplete applications will be discarded automatically without a review:
- Topical Motivation Letter: To apply for the DAAD Zuse School SECAI Scholarships a comprehensive statement explaining your specific research interest in Artificial Intelligence, your planned or ongoing alignment with SECAI, and your study roadmap at TU Dresden or Leipzig University.
- Curriculum Vitae (CV): An updated academic and professional résumé mapping out relevant coding milestones, projects, or publications.
- Academic Transcripts: Copies of your Bachelor’s degree certificate (if already available) alongside verified complete transcript of records.
- Admissions Verification: If applying for admission in parallel, you must clearly specify the official application reference number and your formal submission date.
- Income Declaration: A brief signed disclosure confirming any other active sources of income or concurrent scholarship applications.
Application Guidelines and Submission Protocol
Prospective DAAD Zuse School SECAI Scholarships scholars must submit their application documents electronically to the central administrative hub.
Direct Submission E-mail Address: Forward your complete application folder as an organized digital package to:
Security Recommendation: Applicants are highly encouraged to submit their dossiers using the secure encrypted channel provided via the TU Dresden SecureMail Portal at https://securemail.tu-dresden.de.
While the first-round of DAAD Zuse School SECAI Scholarships deadline of 19 May 2026 has concluded, candidates have a vital second opportunity to submit their portfolios before the hard system cutoff on 30 June 2026 for the upcoming winter semester intake. Early submittals are highly recommended to expedite processing and guarantee interview considerations. For comprehensive DAAD Zuse School SECAI Scholarships system rules and institutional updates, candidates can review the official DAAD database page using entry reference ID 10000611.
Disclaimer: The Business Pulse shares verified opportunities from trusted sources. We are not a recruiting agency and do not request any payment for applications.
Leave a Reply