ArtificialIntelligence
Shape the future of technology with our comprehensive AI program. Master machine learning, deep learning, and intelligent systems while working on real-world projects.
Deep Learning
Neural Networks
Python & TensorFlow
Industry Tools
Adaptive Models
Learning Algorithms
What You'll
Master
Core Competencies
Technical Skills
- Python & TensorFlow
- PyTorch & Keras
- Cloud AI Platforms
- Big Data Processing
Career Outcomes
- AI Engineer
- ML Scientist
- Research Scientist
- AI Product Manager
The Programme Structure
List for Modules
IT Programmes & Programming
10 ECTS
Distributed Computing Systems
10 ECTS
Research Techniques and Professional Development
10 ECTS
Dissertation
30 ECTS
Programme
Director
Dr Theodosis Mourouzis
PhD in Information Security, University College London
Dr Theodosis Mourouzis holds a PhD in Information Security from University College London and degrees in Mathematics from the University of Cambridge. His expertise spans cryptography, blockchain, data science, and AI.
He is an Industry Associate at the UCL Centre for Blockchain Technologies and a mentor at the Judge Business School, University of Cambridge, and London Business School. He also serves as CEO of Electi Group and has advised organisations including the European Central Bank and government institutions on cybersecurity and emerging technologies.
The Alan Turing
Institute
The UK's national institute for data science and artificial intelligence.
Founder visit to the The Alan Turing Institute as part of Brightversity's engagement with the UK AI ecosystem.
Professional Development by Delivery Model
Each includes optional professional certification pathways aligned with its focus and target profile.
| Feature | Professional Delivery | Executive Delivery |
|---|---|---|
| Target Profile | AI Engineers, Developers, Data Professionals | Technology Managers, AI Strategy Leaders |
| Focus | Applied AI implementation & deployment | AI governance, ethics & enterprise AI strategy |
| Certification Alignment |
|
|
| Skill Orientation | Model deployment, cloud AI integration, applied ML | AI risk management, regulatory considerations, organisational AI strategy |
| Career Orientation | AI engineering & technical advancement | AI leadership & strategic oversight |
| Certification Exams | Optional – vendor administered | Optional – vendor administered |
Professional certifications are optional and are delivered independently of the accredited MSc programme. Examination registration and eligibility requirements are determined by the respective certification bodies.
Admission
Requirements
Academic Requirements
- A Bachelor's degree (MQF Level 6) in Computer Science, Information Technology, Engineering, Mathematics or a related technical discipline from a recognised institution.
- OR
- A Bachelor's degree in another field with evidence of relevant IT knowledge or bridging studies.
English Proficiency
Proficiency in English equivalent to CEFR Level B2 or higher is required. Accepted evidence includes:
- IELTS: Minimum overall score of 6.0
- TOEFL iBT: Minimum score of 78
- Internal placement test
- Waived for learners whose prior education was in English
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