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It’s a master’s program offered by Steinbeis University in Germany in collaboration with AAST Digital University, designed to equip students with advanced knowledge in data analytics and artificial intelligence through a structured, industry-relevant curriculum.
The program lasts 12 months (two semesters)
Yes, the master’s degree is globally recognized and accredited by the German Accreditation Council (Akkreditierungsrat).
The program is 100% taught in English.
• Study anytime, anywhere, ideal for busy professionals. • Access to dedicated faculty coaching and live virtual sessions. • Join a diverse global community of experts and peers. • Save on relocation costs while earning a globally recognized degree.
• Tech enthusiasts passionate about AI and data. • Professionals looking to specialize in AI and analytics. • Aspiring leaders in data-driven industries. • Learners committed to ethical technology leadership.
The program includes pre-recorded lectures, live sessions, interactive webinars, hands-on projects, and group discussions to ensure an engaging and practical learning experience.
Yes, students have access to faculty coaching, academic advisors, and mentors who provide guidance throughout the program.
The program is designed to be highly flexible, allowing students to study at their own pace while meeting structured deadlines for coursework and assessments.
Yes, all students receive a comprehensive orientation covering learning platform navigation, course structure, and resources available for support.
Yes, the program is designed for working professionals, with flexible study hours that allow students to balance work and learning effectively.
Steinbeis University is one of the largest officially recognized private universities in Germany and is part of the globally active Steinbeis Foundation. It has a history of over 150 years in pioneering education, integrating theory with practical workplace experience.
Steinbeis University emphasizes applied learning and industry collaboration, ensuring that students gain practical skills that align with market demands. Through project-based learning, students work on real-world challenges, making them more competitive in the job market.
Steinbeis S-Next follows an industry-driven approach, integrating practical projects, corporate partnerships, and real-world applications into its curriculum. This ensures that graduates are not only academically qualified but also well-prepared for the evolving job market.
• Earn a German-accredited master's degree in just 12 months. • Study 100% online, allowing flexibility to learn at your own pace. • Affordable tuition at only €1,800 per semester. • Gain eligibility for a 6-month German job-seeker visa, opening doors to European job markets. • Join a strong professional network of alumni, faculty, and industry leaders.
The program is open to professionals, fresh graduates, and individuals from various fields looking to develop expertise in AI and data analytics.
No prior technical experience is required. This is a conversion program designed for students from diverse academic backgrounds.
• Bachelor’s degree (or equivalent) • Academic transcripts • High school diploma • CV/Resume • Proof of English proficiency • Valid passport copy
Yes, but an official English translation may be needed.
Documents should be submitted via the Digital University website: https://aastmtic.aast.edu/AastGenericForm/UI/?Form=S-NEXT
Applications are reviewed within 10 working days of submission.
Applications are open year-round with intakes every two months (January, March, May, July, September, November). All admission processes and payments must be completed one week before the study start date.
Tuition fees are €1,800 per semester, totaling €3,600 for the full program.
Yes, students applying through AAST receive a 40% scholarship off the original German tuition fees.
No, students applying through AAST are exempt from the €500 admission and exam fees.
Yes, payments can be made in two installments before each semester.
The program is 100% online, with a flexible structure allowing students to study at their own pace.
First Semester – 6 Core modules (2 modules every 2 months) Second Semester – Project work and Master’s thesis.
Yes, students complete a Master’s thesis in the second semester.
There is no mandatory attendance requirement , but students are highly recommended to attend to enhance networking, collaboration, and engagement with instructors and peers.
The program is taught by Steinbeis University professors.
Each student will receive personalized academic guidance from a dedicated coach throughout the program.
• Exams and practical assignments • Group projects • Thesis evaluation
The PSW is a concept paper marking the start of the Transfer Project, providing initial planning and orientation.
1. Identify the problem or challenge for the Transfer Project. 2. Connect with an individual Project Coach. 3. Present the project idea in Group Project Sessions. 4. Finalize and submit the written work.
Working on a project in collaboration with an organization leads to mutual benefits: • Organizations can evaluate potential candidates for recruitment. • Students can gain hands-on experience and explore career opportunities.
The thesis is a scientific research paper applying data analytics & AI to a professional challenge. Submission deadline: At least 6 weeks before the Thesis Defense date.
Yes! Students receive career mentoring, networking opportunities, and access to exclusive job resources.
Yes! Graduates can apply for a 6-month German job-seeker visa , opening doors to European tech jobs.
• Data Scientist • AI Researcher • Machine Learning Engineer • Business Intelligence Analyst • Data Engineer
• Industry networking • Career mentorship • Job placement guidance • German-accredited degree
Yes! Graduates are eligible to pursue PhD programs.
A Master of Arts (MA) focuses more on applied, interdisciplinary, and industry-relevant knowledge, while a Master of Science (MSc) is typically more research-intensive and technical.
