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Artificial Intelligence
Machine Learning
Robotics Engineering
Emerging Technologies
Intake
Winter + Summer
Specialised AI pathways including robotics and fintech
UK-awarded MSc studied in Germany
Practical AI projects and real-world applications

Benefits
Build advanced technical expertise in artificial intelligence
Explore specialised pathways in emerging technologies
Gain practical experience through coding and AI projects
Develop understanding of ethical and legal AI frameworks
Enhance career opportunities in global technology industries
Earn an internationally recognised UK postgraduate degree
Get to know the BSBI University MSc Artificial Intelligence Course in depth by downloading the brochure
Course Details
The MSc Artificial Intelligence programme provides students with advanced knowledge and practical expertise in artificial intelligence and emerging digital technologies. The course explores how AI is transforming industries through intelligent automation, machine learning systems, robotics, and data-driven innovation.
Students develop both theoretical understanding and hands-on experience in areas such as robotics engineering, blockchain technologies, chatbot development, and digital transformation. The programme also emphasises ethical and legal considerations of AI, preparing graduates to design responsible and impactful AI-driven solutions in modern digital economies.
Postgraduate MSc degree with UK awarding body
Delivered on-campus in Berlin, Germany
Full-time programme completed in 18 months
Multiple specialised pathways in emerging technologies
Practical labs, coding projects, and AI research work
Coursework-based assessments with final project

UniversityPrivate
Berlin School of Business and Innovation (BSBI) is a private university in Berlin, Germany, offering Bachelor’s, Master’s, and MBA programs taught in English. Focused on business, innovation, and entrepreneurship, BSBI is designed for international students seeking practical, industry-relevant education. With a strong emphasis on real-world projects, global perspectives, and career support, BSBI helps students build skills for international careers in today’s competitive job market.
Berlin / Hamburg, Germany
Course Overview
The MSc Artificial Intelligence programme is structured to develop foundational expertise and specialised technical skills through core modules and pathways. Core Study Areas Foundations of Artificial Intelligence and Machine Learning Data Structures and Algorithms for AI Robotics Engineering and Autonomous Systems Blockchain Technologies and Fintech Applications Chatbot and Intelligent Interface Design Metaverse and Digitalisation Ethical and Legal Issues in Artificial Intelligence Research Methods and AI Projects Specialised Pathways Students can explore areas such as Robotics Engineering, Blockchain and Fintech, Chatbot Design, or Metaverse and Digitalisation through advanced modules and projects. Final Project The programme concludes with a major AI research project or dissertation focused on solving a real-world technological or business challenge.
Target Audience
This programme is ideal for graduates seeking technical careers in artificial intelligence, professionals transitioning into machine learning or robotics roles, individuals interested in emerging digital technologies, and international students aiming to study AI in Germany.
Skills
Machine Learning and Artificial Intelligence Development Skills
Robotics Systems Design and Automation Expertise
Data Structures, Algorithms, and Computational Thinking Skills
Blockchain, Fintech, and Emerging Technology Knowledge
AI Ethics, Governance, and Responsible Innovation Skills
Advanced Problem-Solving and Technical Research Skills
1.
What topics are covered in the MSc Artificial Intelligence programme?
The programme covers key AI areas including machine learning, robotics systems, blockchain technologies, chatbot development, metaverse technologies, and ethical frameworks for artificial intelligence.
2.
Are there specialised pathways available in the AI programme?
Yes, students can specialise in areas such as Robotics Engineering, Blockchain and Fintech, Chatbot Design, or Metaverse and Digitalisation through advanced modules and projects.
3.
What type of assessments are included in this MSc AI programme?
Assessments are mainly coursework-based and include technical reports, machine learning model development, robotics projects, group presentations, and a final AI research project or dissertation.
4.
What career opportunities are available after completing this degree?
Graduates can pursue careers as AI Engineers, Machine Learning Specialists, Robotics Developers, Data Scientists, AI Consultants, or Digital Innovation Leaders.
5.
Is prior technical experience required for admission?
A bachelor’s degree is required for entry, and prior experience in computing, engineering, or related technical fields can be beneficial but is not always mandatory depending on academic background.
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