Kostenloses Webinar
Study Data Science, AI and Business Analytics in Germany
Get an overview of how Data Science, AI and Business Analytics programs in Germany work. Take the chance to speak directly with representatives from the universities.
1. April 2027, 16:00 (Europe/Berlin Time)
75 Minuten
live über Zoom


Sicher dir deinen Platz - und erhalte (kostenlos) vollen Zugriff auf MyGermanUniversity!
Webinar-Agenda
Begrüßung & Themaübersicht
Präsentiert von: Nino, MyGermanUniversity
International School of Management: M.Sc. Business Intelligence & Data Scienсе
Universität Ulm: M.Sc. Cognitive Sуstеms
Live-F&A mit Gästen
Voraussichtliches Ende des Webinars
Über den Studiengang 1

Business Intelligence & Data Scienсе
(Beginn: Wintersemester)
- Beginn
- Wintersemester
- Zulassungsverfahren:
- zulassungsfrei, aber Eignungstest (entrance exam and interview)
- Studienmodus:
- Flexibel (online oder Präsenzstudium)
- Studiengebühren Info:
- An enrollment fee of €600 applies to EU/EEA students and €1,500 to non-EU/EEА studеnts.
Über die Hochschule 1
Über den Studiengang 2

Cognitive Sуstеms
(Beginn: Wintersemester)
- Beginn
- Wintersemester
- Zulassungsverfahren:
- lokaler Numerus Clausus (NC)
- Studienmodus:
- Präsenzstudium
- Studiengebühren Info:
- All students are required to pay a semester feе οf €182.00.
Über die Hochschule 2

Universität Ulm
Mehr über dieses Webinar
Build machine learning models, design AI-driven decision systems, analyse business data to drive strategy, and work with the tools that define how modern companies operate — Python, SQL, TensorFlow, Power BI, and cloud platforms like AWS and Azure. Data Science, AI, and Business Analytics are three distinct paths that share a common foundation: the ability to turn data into decisions.
Germany is one of the most relevant places in the world to build this career. Its industrial base — automotive, manufacturing, logistics, finance, healthcare — generates vast datasets and is under real competitive pressure to use them intelligently. The shortage of qualified professionals is structural, and the demand cuts across every sector. Whether you are drawn to the mathematical depth of machine learning, the business application of analytics, or the infrastructure that makes AI systems work at scale — there is a program in Germany for that direction.
You will learn:
- How Data Science, AI, and Business Analytics programs in Germany differ — and which direction fits your background and goals
- What the curriculum actually covers — from statistical modelling and machine learning to data engineering, business intelligence, and AI ethics
- Which tools are taught and which ones employers actually use
- What the admissions process looks like — entry requirements, language certificates, and application timelines
- Where graduates go — the roles, the sectors, and what the German job market looks like for this profile right now
- Live Q&A — ask your questions directly
Come knowing what you want to work on. Leave knowing which program to apply to
Webinar-Agenda
Begrüßung & Themaübersicht
Präsentiert von: Nino, MyGermanUniversity
International School of Management: M.Sc. Business Intelligence & Data Scienсе
Universität Ulm: M.Sc. Cognitive Sуstеms
Live-F&A mit Gästen
Voraussichtliches Ende des Webinars
Was du in diesem Webinar lernen wirst
Top-class education
No tuition fees
Study in English
Work opportunities
Academic requirements
Language requirements
Application process
Top-class education
No tuition fees
Study in English
Work opportunities
Academic requirements
Language requirements
Application process
Top-class education
Study in English
Work opportunities
Academic requirements
Language requirements
Application process
Deine Hosts
Host
Nino
Team MyGermanUniversity
Work experience:
German-Arab Chamber of Industry and Commerce,
Institute for Intercultural and International Studies - Universität Bremen
Degree:
M.A. International Relations: Social Theory and Global Governance (Universität Bremen);
B.A. in International Relations, Minor in Economics (International Black Sea University, Tbilisi/Georgia);
Und das Beste:
Während des Webinars kannst du alle deine Fragen im Chat stellen!
