Master in Artificial Intelligence
The Artificial Intelligence Professional Master has a technical focus on the transformative technologies shaping the modern world. A special concentration is on the mastery of machine learning, deep learning, natural language processing, and computer vision. The curriculum is designed to bridge the gap between theoretical concepts and industrial application. It provides hands-on experience with leading frameworks like TensorFlow and PyTorch. Beyond technical skills, the programme integrates a strong foundation in ethical and legal frameworks in order to ensure that graduates can navigate the complexities of data protection, bias mitigation, and responsible AI deployment.
A distinctive feature of the programme is the ability to specialise through four elective pathways. These pathways include ‘Robotics Engineering,’ which focuses on autonomous systems and automation; ‘Blockchain and Fintech,’ exploring decentralised finance and smart contracts; ‘Chatbot Design,’ covering the architecture of conversational AI; and ‘Metaverse and Digitalisation,’ which prepares for strategic leadership in emerging tech trends like the Metaverse.
Programme Overview
By combining core AI principles with these specialised tracks, the programme equips graduates for high-demand roles such as Data Scientists, AI Engineers, and Machine Learning Specialists. The focus remains on practical outcomes and employment. The programme is designed to ensure that graduates possess the specialised expertise and collaborative skills required to drive innovation across a diverse range of global industries.
This programme is tailored for individuals passionate about shaping the future of technology and innovation. It caters to recent graduates in computer and information 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 programme ensures that students not only grasp theoretical concepts but also acquire the firsthand experience needed to excel in this thriving industry.
This professional master’s programme provides a learning approach that encourages students to work creatively on business problems while also enabling them to develop confidence as reflective, independent practitioners, strategic thinkers, and decision-makers.
This Programme is designed to provide a deep technical foundation combined with practical expertise. Through this programme, graduates will gain:
- Deep Technical Mastery: A high-level understanding of core AI principles, including machine learning, deep learning, natural language processing, and computer vision.
- Practical Hands-on Experience: The ability to design and implement AI solutions using industry-standard frameworks and libraries such as TensorFlow, PyTorch, NumPy, and scikit-learn.
- Specialised Domain Knowledge: Advanced skills tailored through four elective pathways, such as designing complex robotic systems, developing blockchain and fintech applications, or creating sophisticated NLP tools and chatbots.
- Ethical and Legal Expertise: A comprehensive understanding of the responsible use of AI, including transparency, bias mitigation, data protection, and global regulatory frameworks.
- Professional and Collaborative Skills: Enhanced capabilities in innovative problem-solving, research, and effective communication, preparing graduates to work in multi-disciplinary and international teams.
Choose to enhance your Professional Master’s with a dual programme award
Choose to enhance your Professional Master with an additional academic degree delivered in partnership with the University of Chichester — a UK institution ranked among the Top 30 in the Guardian University Guide and backed by more than 130 years of academic heritage.
This pathway gives you the opportunity to graduate with:
- Professional Master’s (from BSBI)
- UK Academic Degree awarded by the University of Chichester
* Eligibility requirements apply for entry into the UK Academic Degree option. An additional upgrade fee of €1,200 is payable on top of the Professional Master’s tuition fee. Delivered with additional blended learning methods.
Accreditations, Memberships and Awards
At BSBI, we are committed to delivering world-class education that aligns with the highest standards of excellence, innovation, and inclusivity. This programme is certified by CUALIFICAM, overseen by the Fundación para el Conocimiento Madrimasd, ensuring compliance with the European Higher Education Area (EHEA).
BSBI is also a proud member of AEEN (Asociación Española de Escuelas de Negocios) and the European Union of Private Higher Education (EUPHE), reinforcing our dedication to academic excellence, professional development, and international relevance.
Recognised for its innovation and excellence, BSBI has won multiple awards, including the Best Innovation Strategy Award at the AMBA/BGA Excellence Awards 2025 for BOTSBI – its groundbreaking AI-powered robot. The school also received the Bronze Award for Blended and Presence Learning at the QS Reimagine Education Awards 2024 and won the Outstanding Organisation Award at the Education 2.0 Conference in Dubai.
Top Reasons to Study This Programme
The programme has a special focus on the technical core of AI, covering essential areas such as machine learning, deep learning, natural language processing (NLP), and computer vision.
A cornerstone of the curriculum is practical application. Students gain hands-on experience by developing real-world AI solutions using industry-standard frameworks and libraries such as TensorFlow, PyTorch, NumPy, and scikit-learn.
The programme offers four distinct elective pathways and, accordingly, allows students to tailor their studies to their specific career ambitions.
In an era where responsible AI is critical, this programme prioritises the ethical and legal frameworks surrounding technology. Students explore transparency, fairness, bias mitigation, and data protection to ensure they can deploy responsible AI solutions.
Graduates are well-prepared for high-demand roles, including Data Scientist, AI Engineer, and Machine Learning Specialist. The skills gained are internationalised, enabling graduates to apply their knowledge in diverse industries worldwide, from healthcare and finance to manufacturing and autonomous systems.
Take the next step in your leadership journey with BSBI
Discover our key achievements.
87%
of enrolled students successfully graduated within 2 years
43%
of graduates are working on a permanent basis
17
Career events, 6 major all campus events, 53 club activities hosted by 5 5 student led clubs
80%
of our students successfully completed their postgraduate programme
At least 50%
of our faculty members are actively publishing
59%
of graduates were employed, pursuing higher education or running their own business.
Learning Outcomes
These are the Learning Outcomes of the Programme:
- 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.
Internship Integration
Gain Real-world Experience
A key feature of the Master in Artificial Intelligence at BSBI is the internship, designed to immerse students in the fast-evolving world of AI and emerging technologies. This practical experience bridges the gap between academic learning and real-world application, allowing you to apply theoretical concepts to live industry projects.
Whether you’re working on machine learning models, data analysis, intelligent systems, or AI-driven solutions, the internship enables you to sharpen your technical skills, gain hands-on experience, and build a network of professional contacts in the tech sector. By the end of the programme, you’ll graduate with the knowledge and confidence to succeed in a dynamic, AI-driven landscape.
Career Progression
Your Path to Executive Success
Graduates can anticipate a promising trajectory in their careers, propelled by the programme’s specialised focus on emerging technologies. The knowledge gained in robotics systems and engineering, chatbot systems, metaverse technologies, and blockchains and financial technologies positions them for lucrative opportunities in diverse industries.
According to the World Economic Forum, industries worldwide are increasingly adopting AI, with a high annual growth in AI-related job openings. This programme, with its practical as well as industrial orientation, ensures graduates are well-equipped to meet this rising demand.
The emphasis on real-world applications and industry-relevant skills within the programme sets graduates apart in a competitive job market.
Mid-career professionals choosing to pivot into AI through this programme find themselves on an accelerated career path. The adaptability and interdisciplinary nature of this professional programme prepare the graduates for leadership roles where they can drive innovation and strategic decision-making.
As industries continue to integrate AI solutions, the career progression for graduates reflects not just job stability but a dynamic and influential role in shaping the future of technology across various sectors.
Graduate Profile: Your Skills and Expertise
This professional programme produces graduates who are highly skilled technical specialists capable of leading innovation in a data-driven world. Students emerge with a mastery of core AI competencies, including the ability to design and execute complex experiments using industry-standard frameworks.
They possess the analytical depth to evaluate emerging technologies and the technical proficiency to implement advanced machine learning, deep learning, and computer vision solutions. Furthermore, graduates are distinguished by their ability to specialise in high-growth sectors, gaining specific expertise in robotics architecture, natural language processing, or metaverse systems, making them ideal candidates for roles such as Data Scientists, AI Engineers, and Machine Learning Specialists.
Beyond technical expertise, graduates are equipped with a comprehensive understanding of global legal frameworks and a personal code of ethics. So, they can navigate issues of data protection, bias mitigation, and transparency in AI deployment. They possess the collaborative skills required to work within multi-disciplinary teams and the ability to translate complex technical concepts into strategic insights for diverse audiences.
This combination of technical mastery, research capability, and ethical integrity ensures that graduates are not only experts in their field but also responsible architects of the future technological landscape.
Key Programme Information
- Certified by CUALIFICAM
- Duration: 18 months
- Mode of Study: Full-time
- Format: On-campus
- Language: English
- Intakes**:
- Units: 90 ECTs
**Intakes are subject to change
Programme Structure
All core modules carry 10 ECTS each, except for the Internship module which carries 12 ECTS and the dissertation which carries 18 ECTS.
- Introduction to Artificial Intelligence (AI)
- Machine Learning Fundamentals
- Ethics and Legal Framework in AI
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
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
- Professional Internship
- Dissertation / Project
Commitment to the European Higher Education Area (EHEA) and the Sustainable Development Goals (SDGs)
BSBI is dedicated to enhancing the quality, equity and inclusivity in education, emphasising lifelong learning, mobility and sustainable development.
- Student Diversity and Inclusion: BSBI’s student body represents over 114 nationalities, with a gender distribution of 70% men and 30% women and an average age of 28 across its main programmes.
- Equitable Admission Process: BSBI ensures equal treatment in admissions, focusing on candidate suitability and providing necessary accommodations for disabled students.
- Commitment to Academic and Personal Development: BSBI’s teaching practices promote academic and personal growth, tailored to meeting the needs of its diverse student community.
- Future Educational Goals: BSBI aims to introduce new academic programmes and strengthen collaborations to positively impact the global community.
- Technological Advancements: BSBI is adopting new technologies and expanding its faculty and locations to enhance its educational offerings.
- Innovative Teaching Methods: BSBI combines in-person, remote and hybrid learning to overcome challenges like visa issues, ensuring uninterrupted academic progress.
- Research and Academic Initiatives: BSBI supports research through its Postdoctoral Research Centre and organises numerous academic events, including a TEDx on education in the metaverse.
- Sustainability and Ethical Education: BSBI integrates sustainability and ethical practices into its programmes, collaborating with global institutions like the Goa Institute of Management and offering professional certificates in corporate sustainability and ethics.
BSBI is committed to various Sustainable Development Goals through initiatives focused on poverty eradication, health and well-being, quality education, gender equality, reducing inequalities, clean water and sanitation, affordable and clean energy, industry innovation and responsible consumption.
- Commitment to Ending Poverty: BSBI empowers students to develop business plans for non-profits, supports initiatives like Back-to-School Africa and partners with organisations to offer scholarships and educational opportunities to disadvantaged youth.
- Health and Well-being Initiatives: BSBI offers wellness and mental health support through consultants, workshops and support groups, fostering a community that prioritises emotional and psychological well-being.
- Quality Education: BSBI is recognised for its academic excellence, interdisciplinary research and partnerships with external academic institutions, enhancing global educational standards.
- Promoting Gender Equality: BSBI cultivates an inclusive environment, by upholding anti-discrimination laws and supporting initiatives like the Women in Technology Scholarship to empower women in the tech industry.
- Reducing Inequalities: BSBI ensures fair treatment for all, providing necessary facilities and resources to guarantee equal access to education and employment opportunities.
- Water and Energy Efficiency: BSBI has renovated its main campus facilities to optimise water and energy usage, incorporating sustainable materials and systems to reduce environmental impact.
- Sustainable Construction and Waste Management: BSBI uses eco-friendly materials in renovations and implements efficient waste management systems to promote recycling and reduce waste generation.
- Promoting Sustainable Transport: BSBI encourages the use of public transport and provides bicycle parking to reduce the reliance on cars, supporting sustainable commuting alternatives.
Student Platforms for Enrolled Students
To support your academic journey once you are enrolled, we provide access to platforms designed to keep you connected and organised.
Canvas
Canvas is a comprehensive learning platform where students can access their modules, check their grades, and find educational materials. Additionally, through this platform, they can take exams and submit their assignments and academic work.
MyPage Student Portal
The MyPage Student Portal serves as the central access point for an overview of students’ academic information, class schedule, attendance records, submission of letter requests, and more.
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Living and studying in Barcelona
Living and Studying in Madrid
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