MSc Artificial Intelligence
The MSc Artificial Intelligence course is tailored to the current challenges and the needs in AI, providing students with specialised knowledge and skills relevant to their career aspirations.
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Programme Overview
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 Master’s in Digital Marketing. 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.
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.
Programme Fee
Berlin : February, May, October
2024 October: International students Price: €13,250 | EU students Price: €8,450
Special offers: Up to 30% savings for International Students | 10% savings for EU Students
2025 February, May, October: International students Price: €13,250 | EU students Price: €8,450
Berlin | Check our special offers.
Terms and conditions apply. Find out more here.
The School’s admissions process is subject to the Consumer Contracts (Terms and Conditions). Information on your Right of Withdrawal and our Refund Policy can be found in the BSBI study agreement.
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Programme Structure
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 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 programme are offered and delivered 100% on campus.
Teaching takes place Monday to Saturdays, during morning, afternoon, or evening sessions.
Please note: each year is divided into three terms.
Modules
Term 1
- Introduction to Artificial Intelligence
- 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
Study in
Berlin
- Delivery: On campus
- Duration: 18 months
- Intakes: February, May, October
- Campus: Berlin, Germany
- Degree: MSc Artificial Intelligence awarded by the University for the Creative Arts
- 2024 October: International students Price: €13,250 | EU students Price: €8,450
- 2025 February, May, October: International students Price: €13,250 | EU students Price: €8,450
The School’s admissions process is subject to the Consumer Contracts (Terms and Conditions). Information on your Right of Withdrawal and our Refund Policy can be found in the BSBI study agreement
Learning Outcomes
Upon successful completion of the 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.
Career Progression
Graduates of the MSc Artificial Intelligence 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.
BSBI’s dedicated Careers Service helps tourism, hospitality and event management students and alumni reach their career goals and realise their potential. The Service offers specialised support and aims to build long-lasting relationships with local and national employers.
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.
English language requirements:
Access the Proof of English Guide (UCA) here.
You can apply now to study with BSBI! It’s quick and easy, here’s how it works:
- Create an account here
- Select the programme and intake you want to apply for
- Complete all sections of the online application
- Submit online application
- Our Admissions Team will liaise with you with regards to next steps
