OpenFieldAKAD University Digital Transformation and STEM Merit Scholarship
Competitive merit scholarship awarded to exceptional incoming master's scholars in Data Science, Software Engineering, and Digital Industrial Technology at AKAD University.
AKAD University: Digital Engineering, Data Science & Industry 4.0 Guide
Founded in 1959 in Stuttgart, AKAD University (AKAD Bildungsgesellschaft mbH) is a state-accredited pioneer of digital distance education and engineering sciences in Germany. Offering rigorous Bachelor of Engineering, Master of Science, and MBA programs, AKAD specializes in cloud computing, data science, industrial automation, and green digital technologies designed for working professionals and international scholars.
Verified degree programs and opportunities
Review checked academic pathways and funding options below:
Master of Science (MSc) in Data Science and Big Data Management
Two-year European accredited master's program covering distributed cloud databases, machine learning pipelines, deep neural networks, and business intelligence architectures.
Cooperative Doctoral Research Fellowship in Industrial IoT and Edge AI
Four-year cooperative doctoral fellowship conducted jointly with a state university partner developing low-latency edge AI algorithms for real-time robotic assembly quality control.
AKAD Digital Learning Factory & Industry 4.0 Cyber-Physical Systems Project
Applied scientific project simulating discrete manufacturing workflows, industrial sensor fusion, and digital twin virtualization for medium-sized German enterprises (Mittelstand).
Baden-Württemberg Industrial Robotics & Automation Practicum
Six-month applied engineering internship with automotive and automation suppliers in the Stuttgart industrial region developing automated optical inspection systems.
AKAD Postdoctoral Fellowship in Circular Economy Systems & Digital Product Passports
Two-year postdoctoral position developing open standards and blockchain-backed digital product passports for tracking battery raw materials and electronic component recycling across Europe.
Deutschlandstipendium National Merit Grant at AKAD University
Prestigious national scholarship co-funded by the German Federal Ministry of Education and Research (BMBF) and industry partners to support high-achieving university scholars.
Admissions, language requirements & application process
- Master's admission eligibility
- Accredited Bachelor of Science or Bachelor of Engineering degree (minimum 180 or 210 ECTS) in computing, engineering, or related discipline with German grade 2.5 or better.
- Doctoral admission eligibility
- Cooperative doctoral degrees (Kooperative Promotion) organized in conjunction with partner state research universities in Germany and the UK.
- Language proficiency
- German proficiency at TestDaF 4 or DSH-2 for German-taught degrees; IELTS Academic 6.5 or TOEFL iBT 88 for English-taught graduate curricula.
- Research statement / Proposal
- For cooperative doctoral research: detailed 2,500-word applied research concept outlining industrial data science or digital engineering applications.
- Application fee
- EUR 0 for direct online university enrollment.
- Required documentation
- Bachelor's degree diploma, complete transcript of records, curriculum vitae, letter of motivation, and verified employment or professional credentials.
Tuition fees and verified scholarship systems
Tuition at AKAD University is structured as monthly study fees, averaging approximately EUR 390 to EUR 490 per month (total degree tuition approximately EUR 13,000 to EUR 16,500). Multiple corporate sponsorship models, Deutschlandstipendium awards of EUR 300/month, and tax-deductible educational allowances in Germany provide substantial financial relief.
Verified faculty profiles and research leaders
Distinguished researchers and laboratory heads at AKAD University:
Prof. Dr. Torsten Bügner
Professor of Computer Science & Dean of School of Technology · Cloud Computing Architectures, Enterprise Software Engineering, Distributed Databases, Cybersecurity
Prof. Dr. Roland Schwesig
Professor of Industrial Engineering & Production Management · Industry 4.0, Lean Manufacturing, Digital Supply Chains, Additive Manufacturing Operations
Prof. Dr. Christian Schmidt
Professor of Applied Mathematics & Artificial Intelligence · Machine Learning Algorithms, Statistical Pattern Recognition, Stochastic Modeling, Optimization
Important verification note
Facts reflect official AKAD University documentation reviewed 2026-10-15. Degree admissions, scholarship awards, and employment positions are subject to formal university review. OpenField does not charge students application fees.
Reviewed 2026-10-15 · Editorial standards · Report an issue