SRH University is a state-recognized private university in Germany, with campuses across cities including Berlin, Heidelberg, Munich and more. The institution offers a range of international programmes that combine academic theory with applied learning and professional skills. The Artificial Intelligence (AI) in Business programme is part of the university’s School of Business & Law and integrates AI technologies with business strategy and management.

 

Why Study AI in Business at SRH University

This programme trains you to become a strategic leader who can apply AI to real business challenges, preparing you to drive digital transformation across industries. You’ll learn both technical and business skills including machine learning, large language models, digital strategy, innovation management and ethical governance of AI systems.

Key reasons to choose this programme:

• Blend of AI and business strategy — it equips you with both technological understanding and leadership skills.

• Hands-on experience using cutting-edge AI tools (e.g., ChatGPT, Google Vertex AI, Power BI).

• Focus on ethical and governance issues — crucial in modern AI roles.

• Real-world project work and case studies as part of the curriculum.

 

Subjects / Programme Structure

The curriculum is interdisciplinary, combining business strategy with AI technology modules. The general semester structure (with 30 ECTS each) typically includes:

1st Semester

• Business Administration for AI

• Introduction to Data Science & Analytics

• Innovation Management & Disruption

• Digital & AI Fundamentals

• Leadership & Entrepreneurship

2nd Semester

• AI for Operations & Supply Chain Management

• Business Strategy & Digital Transformation

• Large Language Models, Prompting & Agentic AI

• AI Lab Sessions (practical)

• AI Ethics, Legal & Governance

3rd Semester

• AI-Driven Marketing, Sales & Customer Analytics

• Cybersecurity & AI

• Change Management & Organisational Transformation

• Process Management

• Future of AI

4th Semester

• Capstone Project (12 ECTS)

• Master Thesis (18 ECTS)

 

Disciplines & Specialisations

While not formally separated into majors, the AI in Business programme spans these areas:

• Business leadership & strategy
• AI technology & machine learning
• Generative AI and prompt engineering
• Process and change management
• Ethics, governance & cybersecurity
• AI implementation projects

 

Programme Highlights

• Interdisciplinary blend of AI and business strategy — not just tech but how AI drives organisational value.
• Hands-on labs & projects with current AI tools and frameworks (e.g., LLMs).
• Ethics & governance emphasis — rare in many technical programmes.
• Strong practical orientation — capstone project and industry-aligned coursework.
• English-taught in Berlin — ideal for international careers.

 

Career Outcomes & Opportunities

Graduates are prepared for roles such as:

• AI Project Manager
• Digital Innovation Manager
• AI Consultant
• Product Manager (AI focus)
• Tech Startup Founder
• Change/Transformation Manager
• AI Implementation Manager
• Business Data Scientist
• Supply Chain Analyst (AI focus)
• AI Governance & Ethics Lead

 

Visa & Immigration Requirements (International Students)

If you are a non-EU/EEA student (e.g., from India):

• Apply for a German student visa at the German embassy/consulate.

Required documents generally include:

• Official letter of admission

• Proof of financial resources (blocked account showing sufficient funds)

• Health insurance coverage

Proof of accommodation

• After arrival, register locally and apply for a Student Residence Permit.
• Students are generally allowed to work part-time (e.g., ~120 full days or ~240 half days/year under German visa rules).