MASTER OF BUSINESS ADMINISTRATION (MBA)
Computer Science & Artificial Intelligence
Advanced Executive Programme for Digital Transformation & AI Leaders
Lead the Future of Technology. Transform Business Through Artificial Intelligence.
The MBA in Computer Science and Artificial Intelligence (Level 7) is an advanced executive programme designed for professionals who want to combine technical expertise, strategic business vision, and leadership skills to successfully manage digital transformation and artificial intelligence-driven innovation.
In today’s rapidly evolving digital environment, organisations require leaders who understand both advanced technologies and business strategy.
This MBA prepares professionals capable of:
- Leading complex IT and AI projects
- Designing and implementing intelligent solutions
- Managing technology-driven transformation
- Creating innovation strategies for the digital economy
Through an interdisciplinary and practice-oriented approach, participants develop the skills required to become future technology leaders.
PROGRAMME OVERVIEW
| Qualification: | Master of Business Administration (MBA) |
| Specialisation: | Computer Science & Artificial Intelligence |
| Level: | Level 7 |
| Study Mode: | Online |
| Target Group: | IT Professionals, Technology Managers, Digital Leaders & Future AI Specialists |
Entry Requirements:
Minimum BSc degree in Information Technology or related field
Verifiable professional experience
WHY CHOOSE THIS MBA?
The MBA in Computer Science and Artificial Intelligence enables participants to:
- Understand advanced computer science concepts
- Develop and manage artificial intelligence solutions
- Lead digital transformation projects
- Combine technology with strategic business thinking
- Apply AI responsibly within organisations
- Build future-ready digital capabilities
PROGRAMME FOCUS AREAS
Advanced Computer Science & Digital Infrastructure
Develop strong technical foundations required to design, build, and manage complex IT environments.
Key areas include:
- IT systems and network architecture
- Advanced programming
- Modern database technologies
- Information security
- Virtualisation and cloud technologies
COMPETENCY BLOCKS
BLOCK 1
Advanced Foundations of Computer Science
Objective: Develop the technical expertise required for architecting and managing complex IT systems.
Participants will study:
Architecture of IT systems and networks
- Advanced programming:
- Python
- Java
- C++
- Modern development frameworks
- Operating systems and virtualisation
- Advanced databases:
- SQL
- NoSQL
- Big Data technologies
- Information security and basic cryptography
BLOCK 2
Artificial Intelligence, Data Science & Machine Learning
Objective: Design, develop, and evaluate powerful and responsible AI solutions.
Participants will develop knowledge in:
- Mathematical foundations of AI:
- Statistics
- Linear algebra
- Probability
- Data science and data engineering
- Machine learning:
- Supervised learning
- Unsupervised learning
- Deep learning and neural networks
- Natural Language Processing (NLP)
- Computer vision technologies
BLOCK 3
AI Development, Deployment & Industrialisation
Objective: Transform AI concepts and prototypes into scalable, reliable, real-world solutions.
Participants will learn:
- AI application development:
- APIs
- Microservices
- MLOps and DevOps for artificial intelligence
- Cloud computing:
- AWS
- Microsoft Azure
- Google Cloud Platform
- Containerisation and orchestration:
- Docker
- Kubernetes
- AI model testing, validation, and monitoring
BLOCK 4
Management, Strategy & Technological Innovation
Objective: Develop leaders capable of driving digital transformation and AI-powered innovation.
Participants will gain skills in:
- Management of technical and data teams
- IT and AI project management:
- Agile
- Scrum
- SAFe methodologies
- Digital strategy and organisational transformation
- Innovation, entrepreneurship, and intrapreneurship
- Data-driven and AI-supported decision-making
BLOCK 5
AI Ethics, Governance & Societal Impact
Objective: Develop a responsible, ethical, and sustainable approach to artificial intelligence.
Participants will explore:
- AI ethics and algorithmic bias
- Data governance and compliance:
- GDPR
- AI Act
- Advanced cybersecurity and data protection
- Social and environmental responsibility of digital technologies
- AI audit, compliance, and risk management
MBA LEARNING EXPERIENCE
The programme combines:
- Advanced technology knowledge
- Applied computer science practice
- Artificial intelligence development
- Digital transformation strategies
- Business leadership approaches
Participants work with modern technology challenges and develop solutions applicable to real organisations.
FINAL THESIS & ASSESSMENT
Professional MBA Thesis
The programme concludes with the preparation and defence of a:
100-page professional thesis
The final assessment includes:
- Independent research or applied business project
- Professional analysis and evaluation
- Presentation and defence before an examination committee
MBA PROGRAMME BENEFITS
Graduates will be able to:
- Apply advanced IT and AI knowledge
- Lead artificial intelligence initiatives
- Manage digital transformation programmes
- Develop technology-based business strategies
- Support innovation and organisational growth
- Become leaders in the digital economy
BECOME A DIGITAL TRANSFORMATION LEADER
The MBA in Computer Science and Artificial Intelligence (Level 7) is more than a business qualification.
It is a professional journey towards:
- Technology Leadership
- Artificial Intelligence Innovation
- Digital Transformation
- Strategic Business Development
- The Future of Intelligent Organisations
Develop the expertise to lead the digital future with artificial intelligence.