The International Master’s Degree in Data Science and Artificial Intelligence at the University of Trieste, taught entirely in English, offers a cutting-edge education that combines two of the most powerful forces shaping today’s digital world: data science and artificial intelligence (AI).

Through a balance of theory, practice, and innovation, you’ll gain the skills to design intelligent systems, extract insights from data, and develop solutions that impact industry, research, and society.

The programme is delivered in collaboration with research institutes, innovation hubs, and companies in Trieste and across the Friuli Venezia Giulia region — one of Europe’s leading ecosystems for science and technology.
 

Ready to Shape the Future with AI?
Join the University of Trieste and become part of a vibrant international community working at the frontier of data, intelligence and innovation.

Educational objectives

Knowledge and Understanding

Our curriculum is designed to give you both a strong scientific foundation and hands-on experience in the tools and methods driving AI and data-driven innovation.
 

Core Areas of Study

• Machine Learning and Artificial Intelligence
  Master modern AI techniques — from deep learning to reinforcement learning — and apply them to real-world problems in perception, reasoning, and decision-making.
• Mathematical, Statistical, and Computational Modelling
  Build a solid understanding of statistics, optimisation, simulation, and computational modelling for data analysis and prediction.
• High-Performance and Cloud Computing
  Learn how to design efficient algorithms, leverage parallel computing, and manage large-scale data systems.
• Ethics, Law, and Society
  Explore the ethical, legal, and societal implications of AI — including topics such as trustworthy AI, data governance, and the economic impact of digital transformation.
   

Specialisation Tracks

You can tailor your learning path by focusing on one or more application domains:

• Industry, Digital Twins and Cyber-Physical Systems
  Digital twins and intelligent systems for automation, robotics, and smart manufacturing.
• Computational Biology and Medicine
  AI and data-driven tools for genomics, diagnostics, and bioinformatics.
• Social Sciences and Economics
  Data analytics, business intelligence, and AI for finance, insurance, and policy.
• High Performance Computing
  Advanced HPC and big data management for AI
   

Learning Approach

You’ll learn through a mix of lectures, hands-on labs, group projects, and seminars, often in collaboration with industry partners.

Your skills will be strengthened through:

• Practical case studies and project-based learning
• Access to advanced computing resources
• Opportunities for internships in companies or research centres
• A final Master’s thesis that tackles a real-world problem
   

Ability to Apply Knowledge and Understanding

Learning Outcomes

Graduates of this programme will be able to:

• Design and implement efficient algorithms and AI models.
• Manage and analyse large-scale data using modern machine-learning tools.
• Work effectively in multidisciplinary teams, bridging data science with engineering, medicine, economics, and the humanities.
• Apply ethical and legal principles in AI system design and deployment.

Career Prospects

With a Master’s in Data Science and Artificial Intelligence, you will be ready to take on high-impact roles in research, technology, and innovation — both in the public and private sectors.

Career Paths

• Data Scientist
  Expert in big data management, predictive analytics, and data-driven decision-making. Work in tech companies, consulting firms, finance, healthcare, or government.
• Machine Learning & AI Specialist
  Design and deploy intelligent systems in fields such as automation, computer vision, natural language processing, or robotics.
• AI Engineer / Researcher
  Contribute to R&D in cutting-edge areas like deep learning, explainable AI, and autonomous systems.
   

Typical Employers

• Technology and software companies
• Financial institutions and insurance firms
• Research laboratories and universities
• Manufacturing and engineering companies
• Healthcare and biotech organisations
• Public administration and consulting

Final examination and degree

Your studies will culminate in a Master’s dissertation, where you’ll address a real-world challenge proposed by a research group or industry partner. You will:

• Identify and formalise a complex problem
• Develop and apply AI and data-science techniques to solve it
• Present your findings clearly to both expert and non-expert audiences

This final project will be a chance to demonstrate your technical mastery, creativity, and professional readiness.