M.Sc. in Artificial Intelligence (AI) in Business

SRH University

Gain the skills to lead digital transformation by applying AI to real business challenges. This programme combines management, strategy, and technology—teaching you how to use AI tools to drive innovation, improve processes, and make data-driven decisions responsibly.

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Master

Programme level

24 months

Study duration

16,163$

Cost per year

English

Study language

Programme info

  • Degree: Master of Science (M.Sc.)
  • Model: full-time
  • Language: English
  • ECTS: 120
  • Info: accredited
  • Duration: 4 semesters
  • Location: Berlin

In the Artificial Intelligence (AI) in Business Master's program at SRH University Berlin, you'll gain a deep understanding of how to apply modern AI technologies to successful business management and digital innovation. You’ll develop expertise in business processes, digital systems, and strategic leadership—learning not only how AI works, but how to implement it effectively within organizations across technical, strategic, and ethical dimensions.


Work on real-world projects using cutting-edge tools like ChatGPT, Google Vertex AI, or Power BI. Prepare to lead transformation and innovation initiatives by mastering decision modeling, low-code development, and agile methodologies like Design Thinking—all while cultivating creative thinking and future skills.


Highlights & Key Details

  • Management & Business Skills: Business leadership, strategy, supply chain, marketing, operations
  • Tech Competence: Data analysis, machine learning, generative AI, prompt engineering, AI modeling
  • Change Management: Innovation, process management, project leadership, change implementation
  • Ethics & Responsibility: AI governance, legal frameworks, bias detection
  • Practical Application: Real-world projects, hackathons, business cases
  • Soft & Future Skills: Leadership coaching, teamwork, pitch training, self-reflection
  • Industry Ties: Advisory board planned; partnerships in progress with Google, IBM
  • AI Tools Access: Free or enhanced usage of AI platforms via university partnerships

After completing the program, you’ll be well-prepared for leadership roles in the digital economy. With a strong blend of AI knowledge and business strategy, you’ll be ready to drive innovation and manage technical implementation.


Potential Job Roles:

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

The Master’s program Artificial Intelligence (AI) in Business combines business, technology, and creativity in a hands-on curriculum. In the first semester, you’ll build foundational knowledge in management and technology and learn how to design innovative solutions using frameworks like Design Thinking. As you progress, you'll explore data analytics, AI, and machine learning tools, including generative AI models like LLMs (Large Language Models). Courses in process management, decision-making frameworks, and applied project work will deepen your strategic and operational skillset. In the third semester, your focus will shift to AI ethics, legal frameworks, governance, and cybersecurity—with a strong emphasis on the social impact of AI. You’ll finish your studies with a capstone project or thesis where you independently develop and implement a real AI solution. Throughout the program, interdisciplinary teamwork, agile learning, and direct collaboration with the industry are at its core.

1st semester

  1. Business Administration for AI – 6 ECTS
  2. Introduction to Data Science and Analytics – 6 ECTS
  3. Innovation Management and Disruption – 6 ECTS
  4. Digital and AI Fundamentals – 6 ECTS
  5. Leadership and Entrepreneurship – 6 ECTS


2nd semester

  1. AI for Operations and Supply Chain Management – 6 ECTS
  2. Business Strategy & Digital Transformation – 6 ECTS
  3. Large Language Models, Prompting, and Agentic AI – 6 ECTS
  4. AI Lab Sessions: Hands-on Experience with AI Tools, Programming, and Data Analysis – 6 ECTS
  5. AI Ethics, Legal and Governance – 6 ECTS


3rd semester

  1. AI-Driven Marketing, Sales, and Customer Analytics – 6 ECTS
  2. Cybersecurity and AI – 6 ECTS
  3. Change Management and Organisational Transformation – 6 ECTS
  4. Process Management (Process Mining, Modelling, Evaluation and Implementation) – 6 ECTS
  5. Future of AI – 6 ECTS


4th semester

  1. Capstone Project – 12 ECTS
  2. Master Thesis – 18 ECTS

To apply for the Master of Science Artificial Intelligence (AI) in Business programme, you need

  • A completed Bachelor's degree in Business Administration, Engineering, Mathematics, Physics, Chemistry, Computer Science, Logistics, Law, Agriculture etc.
  • If you have a 180 ECTS degree, the missing 30 ECTS can be acquired via:
  • Courses at all German universities
  • Courses at the Mobile University Riedlingen (e-learning)
  • Recognition of professional experience, if applicable
  • At least 1 year of professional experience as a technical expert, manager or project manager (desirable)
  • Curriculum vitae
  • Copy of ID (front and back), copy of National Identity Card for foreign students


English language requirements:

Accepted English Proficiency Certificates (valid within 2 years), with at least the indicated score:

  • IELTS Academic: 6.5
  • TOEFL iBT: 87 points
  • TOEIC Listening/Reading 785, Speaking 160, Writing 150
  • Duolingo Certificate: 110 points
  • Cambridge CAE or CPE (grade A, B, or C)
  • Pearson English Test Academic (PTE-A): 59 points
  • Linguaskill: 176 - 184 (CES) - all four skills required
Programme campus:

Berlin

University’s main campus:

SRH University

Berlin, Germany

Programme name:

M.Sc. in Artificial Intelligence (AI) in Business

Field of study:

Business & Management, Digital Business, Data & Technology

Programme level:

Master

Programme language:

English

Language requirements:

IELTS: 6.5

TOEFL: 87

Duration & semesters:

24 months / 4 semesters

Next admission date:

01 Apr 2026

Programme pricing

Study mode Workload Duration Cost per year Total cost
On-campus Full-time 24 months 16,163$ 32,326$
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