MSc Artificial Intelligence

Overview

Research-led specialisation in deep learning, generative models and AI systems architecture. The programme combines scientific foundations with project-based engineering practice, delivered in structured semesters with supervised teaching.

Curriculum

Illustrative curriculum. The officially approved module structure will be published once programme documentation is available.

1. Semester 1

   • Machine Learning
   • Optimisation
   • Bayesian Statistics
   • AI Ethics and Regulation (EU AI Act)

2. Semester 2

   • Deep Learning
   • Natural Language Processing
   • Image Processing and Computer Vision
   • Research Seminar

3. Semester 3

   • Reinforcement Learning
   • MLOps and Model Operations
   • Parallel and High-Performance Computing
   • Research Project

4. Semester 4

   • Master's Thesis and Defence

Learning outcomes

• Apply scientific method to technical problems
• Design, model and evaluate complex systems
• Communicate results to specialist and international audiences
• Assess technological developments in ethical and legal terms

Admission requirements

• Relevant bachelor's degree (at least 180 ECTS) or an equivalent recognised foreign degree with an overall grade of 2.5 or better
• Evidence of proficiency in the language of instruction — English C1 (IELTS 7.0 / TOEFL iBT 95) or German C1 (TestDaF 4x4 / DSH-2), depending on the language of instruction
• Complete application documentation — transcripts, language certificate, CV and identity document

Career opportunities

• Development and design roles in technology-driven organisations
• Research and development in institutes and industry
• Project and systems responsibility in interdisciplinary teams
• Progression to master's or doctoral study