Artificial Intelligence

This master's emphasizes a rigorous, technical and scientific approach to artificial intelligence. The curriculum places strong weight on mathematical foundations alongside extensive hands-on programming, so you should expect a balance of theory and practical implementation throughout the program. Instruction is offered in English, making it accessible to international students.

The degree is organised around compulsory core modules, a set of specialisation courses, and a final master's thesis. Together these elements guide you from fundamental concepts to advanced topics and independent research or project work. Coursework and projects aim to develop both analytical reasoning and software-development skills needed to tackle AI problems.

Courses span a broad spectrum of AI areas, including machine learning, natural language processing, deep learning, computer vision, parallel computing, fairness, and intelligent agents. By studying these subjects you will build a solid, comprehensive understanding of modern AI methods and their practical applications.

Requirements / programme components

• Strong emphasis on mathematical AI foundations and practical programming
• Compulsory core courses to establish fundamentals
• Specialisation courses for deeper focus areas
• Master's thesis as final research/project component
• Coverage of machine learning, NLP, deep learning, computer vision, parallel computing, fairness, and intelligent agents

Curriculum overview

The program is structured to move you from foundational and frontier topics into advanced specialization and independent research. From the first semester you engage with two "Next Generation" modules that run across the program—Next Generation AI Computing and Learning, and Next Generation AI Technology—providing a continuous thread of state-of-the-art methods and platforms. Core elective-style modules are scheduled flexibly across semesters: Bio-Inspired Computing (offered in the first or second semester), Intelligent Cooperative Agents (second or third semester), and Human-Centred Trustworthy AI (third or fourth semester). The degree culminates in an extended Master's thesis that begins in the fourth semester and integrates the skills and knowledge you have acquired.

What this means for you as an international student is a progression from advanced algorithmic ideas and system-level AI technologies to agent-based and human-centred concerns, with the chance to pursue an individual research project. The curriculum emphasizes both next-generation computational approaches and responsible, trustworthy AI design, preparing graduates to develop novel AI methods, evaluate human–AI interaction and trust, and carry out independent scientific work in an international research or industry setting.

Key modules (with typical semester timing)

• Next Generation AI Computing and Learning — from the first semester (continuous)
• Next Generation AI Technology — from the first semester (continuous)
• Bio-Inspired Computing — first or second semester
• Intelligent Cooperative Agents — second or third semester
• Human-Centred Trustworthy AI — third or fourth semester
• Artificial Intelligence Master's Thesis — from the fourth semester

Learning outcomes (skills and capabilities you will gain)

• Apply next-generation AI computing and learning techniques to complex problems
• Design and analyse bio-inspired algorithms and systems
• Develop and coordinate intelligent, cooperative agent systems
• Assess and implement human-centred, trustworthy AI principles in system design
• Conduct independent research, synthesize results, and complete a supervised Master's thesis suitable for academic or industry careers

Graduates are prepared for technical and research-oriented roles in AI and related fields, such as machine learning engineer, data scientist, AI systems developer, or technical lead in industry. The programme's mix of theory and practical implementation equips students to design, implement and evaluate advanced AI solutions across domains.

Because of the research-oriented curriculum and the master's thesis, graduates may also pursue research positions or consider applying for doctoral studies if they wish to continue in academic research.