Master of Artificial Intelligence
A postgraduate programme in machine learning, deep learning, natural language processing, robotics and the ethics of AI.
Programme overview
As AI continues to transform industries across sectors such as healthcare, finance, robotics, and cybersecurity, the demand for specialists capable of developing and managing intelligent systems is growing rapidly. This programme offers a deep dive into core AI topics, including algorithm development, neural networks, computer vision, and the critical area of AI ethics. It prepares students to engage with cutting-edge technologies and to drive innovation in both established industries and emerging sectors.
The programme combines theoretical knowledge with practical application, ensuring that students can translate academic insights into solutions for real-world challenges. Through hands-on projects, collaboration with tech companies, and exposure to the latest AI tools and platforms, students gain valuable experience in developing and deploying AI systems. Emphasising technical excellence alongside ethical responsibility, the programme encourages students to consider the broader social, legal, and cultural impacts of AI applications.
Through its integrated approach, the programme enables international students to develop both technical skills and a deep understanding of the ethical, social, and regulatory dimensions of AI. This balance prepares graduates to lead responsible AI innovation aligned with human values.
What you’ll study
01Focus of the educational programme
The Master Programme in Artificial Intelligence focuses on developing advanced technical competencies while ensuring students can apply their skills in various professional contexts. The curriculum supports international students by providing a global perspective on AI challenges and opportunities across industries.
- Advanced machine learning and deep learning techniques
- Practical implementation of AI models in diverse industries
- Ethical and social implications of AI development
02Key focus of the educational programme
- Natural language processing, robotics, and AI-driven automation
- Big data integration, AI policy, and human-AI interaction
03Programme features
- AI research labs with industry-standard tools and datasets
- Collaborations with tech companies and research institutions
- Hackathons, innovation challenges, and AI workshops
Tools & learning resources
- Training AI specialists capable of developing transformative technologies
- Fostering innovation in automated decision-making and intelligent computing
Career opportunities after graduation
- AI Engineer or Researcher
- Data Scientist or Machine Learning Specialist
- AI Product Manager or Consultant
- Robotics and Automation Specialist
- AI Policy and Ethics Advisor
Who can apply?
Admissions will review your academic background and the requirements for your chosen route.
Plan your academic pathway
Discuss your existing qualifications, academic transcripts and preferred study destination. Admissions will confirm the awarding institution, entry criteria, delivery, duration and any credit transfer before you apply.