The Berlin School of Business and Innovation is in partnership with University for the Creative Arts (UCA). As a result of this partnership, BSBI is able to offer the Masters in Artificial Intelligence programme. UCA is an acclaimed creative institution in the UK that ranks highly in all three of the major UK league tables. The university has also been ranked 13th out of all UK universities in the Guardian League Table 2020 and ranked 7th in the 2021 Guardian League Tables for Business, Management & Marketing.

Students will experience a seamless blend of academic rigour with practical application, ensuring that students not only grasp theoretical concepts but also acquire the firsthand experience needed to excel in this thriving industry. The MSc Artificial Intelligence (AI) course provides an approach to learning that encourages students to work creatively on business problems whilst also enabling them to develop confidence in becoming reflective, independent practitioners, strategic thinkers, and decision-makers.

Studying the Masters in Artificial Intelligence offers a unique opportunity to delve into the forefront of technological advancements, providing a solid foundation for a career in cutting-edge fields. This programme equips students with specialised knowledge in robotics engineering, blockchain, fintech, chatbot design, and metaverse technologies, ensuring relevance in evolving industries. The hands-on experiences and guidance from expert faculty foster a dynamic learning environment. Graduates emerge with a comprehensive skill set, positioning them as sought-after professionals in the rapidly growing field of artificial intelligence. The MSc AI programme not only caters to recent graduates but also accommodates mid-career professionals looking to pivot into high-demand AI roles, making it a versatile and rewarding educational choice.

The MSc Artificial Intelligence is tailored for individuals passionate about shaping the future of technology and innovation. It caters to recent graduates in computer science, engineering, and related fields, as well as mid-career professionals seeking to pivot into the dynamic realm of AI. Ideal candidates are those with a keen interest in robotics engineering, blockchain and fintech, chatbot design, or metaverse and digitalisation.

Potential candidates include:

• Recent graduates with a background in computer science, engineering, or related fields.
• Mid-career professionals looking to transition into the field of artificial intelligence.
• Technology enthusiasts with a passion for shaping the future through innovations in AI.
• Individuals interested in specialising in robotics engineering, blockchain and fintech, chatbot design, or metaverse and digitalisation.
• Those seeking a comprehensive education at the intersection of technology and artificial intelligence.

The majority of your work will be completed in groups and on-going support will be provided through the use of structured, targeted individual tutorials and online tutorials.

The learning and teaching of the Masters in Artificial Intelligence (AI) programme will consist of a variety of elements such as lectures, tutorials, workshops, animated/non-animated video, practical work, seminars and trips. The assessment strategy will include individual/group reports and/or presentations, case studies, essays, portfolio development, reflective journals and experiential work-based activities.

The modules of this Artificial Intelligence Master’s programme are offered and delivered 100% on campus.

The pathway will be offered if the minimum class size of 15 students is met to ensure a good academic experience.

Teaching takes place Monday to Saturdays, during morning, afternoon, or evening sessions.

Please note: each year is divided into three terms.

Term 1

• Introduction to Artificial Intelligence (AI)
• Machine Learning Fundamentals
• Ethics and Legal Framework in AI

Term 2

• Pathway Robotics Engineering
• Advanced Robotics, Automation and Computer Vision
• Robotics Software and Programming
• Pathway Blockchain and Fintech
• Blockchain Technology
• Advanced Fintech and Regulatory Compliance
• Pathway Chatbot Design
• Natural Language Processing
• Advanced Conversational UI Design and Chatbot Development
• Pathway Metaverse and Digitalisation
• Virtual Reality and Augmented Reality
• Strategies for Digital Transformation and Metaverse Development

Term 3

• Pathway Robotics Engineering
• Advanced Robot Applications
• Robotics Project Management
• Pathway Blockchain and Fintech
• Blockchain Development and Implementation
• Fintech Innovation, Startups and Risk Management
• Pathway Chatbot Design
• Multi-Modal Chatbots
• Chatbot Analytics and Optimisation
• Pathway Metaverse and Digitalisation
• Metaverse Content Creation and Management
• Metaverse and Security

Term 4

Final Project

• Delivery: On campus 
• Duration: 18 months
• Campus: Berlin, Germany
• Degree: MSc Artificial Intelligence awarded by the University for the Creative Arts

Upon successful completion of the MSc Artificial Intelligence (AI) course students should be able to:

• Experimentation and Innovation: Students will learn to embrace uncertainty and take calculated risks when developing AI solutions. This includes the use of established techniques to create personalised responses or the development of novel approaches to gain new insights and capabilities in AI.
• Research and Analysis: Students will master the art of gathering, evaluating, and synthesising diverse ideas, historical context, data, and AI methodologies. This skill will enable them to make informed connections between various sources, enhancing their ability to develop and situate AI projects within a broader context.
• Engaging with Practice: Building a deep and continuous engagement with AI processes, technologies, and media is a fundamental aspect of this programme. This engagement goes beyond theoretical knowledge and involves hands-on experience, experimentation, and testing of AI solutions. It also extends to the development of effective written communication in AI and the formulation of strategic approaches within the field.
• Realisation & Communication: The ability to bring AI projects to fruition and effectively communicate their findings and implications is vital. This involves the practical implementation of AI solutions, testing, and validation, as well as the development of effective written and oral communication skills to convey complex AI concepts and their practical applications.
• Personal and Professional Connectivity: This outcome emphasises the importance of understanding the professional, cultural, ethical, and social contexts in which AI operates. Students will be encouraged to consider alternative viewpoints, appreciate diversity, and think critically and responsibly about the contexts in which AI solutions are developed. Additionally, they will be required to demonstrate evidence of numeracy, digital literacy, and proficiency in relevant hardware and software tools within the AI domain.

Graduates of the MSc Artificial Intelligence (AI) can anticipate a promising trajectory in their careers, propelled by the programme’s specialised focus on emerging technologies. The knowledge gained in robotics engineering, blockchain, fintech, chatbot design, and metaverse technologies positions them for lucrative opportunities in diverse industries. According to the World Economic Forum, industries worldwide are increasingly adopting AI, with a projected 12% annual growth in AI-related job openings. This programme, with its practical orientation, ensures graduates are well-equipped to meet this rising demand.

The emphasis on real-world applications and industry-relevant skills within the MSc programme sets graduates apart in a competitive job market. For instance, those specialising in blockchain and fintech are poised to leverage their expertise in areas where financial institutions are actively exploring blockchain applications for security and efficiency. According to a report by Deloitte, blockchain technology is becoming integral to financial services, and professionals skilled in this area are in high demand. Similarly, graduates with expertise in chatbot design cater to the growing demand for personalised customer interactions, aligning with the findings of a Gartner report predicting that by 2023, 40% of customer service engagements will be handled by AI chatbots.

Mid-career professionals choosing to pivot into AI through this programme find themselves on an accelerated career path. The adaptability and interdisciplinary nature of the MSc curriculum prepare them for leadership roles where they can drive innovation and strategic decision-making. As industries continue to integrate AI solutions, the career progression for MSc Artificial Intelligence graduates reflects not just job stability but a dynamic and influential role in shaping the future of technology across various sectors.

Minimum age: 21 years old

Academic qualifications: 

• Successful completion of a bachelor’s degree from a recognised university
• Consideration will also be given to applicants with a minimum of 3-years relevant managerial experience, demonstrating an ability to study at postgraduate level.