Universiteit Leiden

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Data Science and Artificial Intelligence (BSc)

Programme structure

The programme focuses on six learning trajectories: computational thinking, mathematical skills, basis AI, intelligent systems, cognition, and research skills.

The first year will give a thorough grounding in the mathematical foundation of data science and artificial intelligence. Mathematical support courses are needed to understand the core concepts of modelling and algorithms for implementing intelligence.

You will get familiar with the basis of logical reasoning and will be introduced to computational models, data science and artificial intelligence.

In addition, academic skills and methodology are an essential part of the first-year programme. Special attention is paid to social and ethical issues related to data science and artificial intelligence.

The second year is dedicated to further enrichment in some of the key areas of artificial intelligence and data science: search and decision making, cognitive and behavioural data sciences, autonomous and multi-agent systems statistics, human robot interaction, machine learning. In addition, you will deepen your knowledge in computational models and algorithms.


Students can choose to follow a minor at Leiden University, Delft University or Erasmus University Rotterdam (LDE); follow electives offered by LIACS or study abroad. 
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Individual research project

The bachelor’s programme is concluded with the research project (15 EC). Some students participate in existing research projects; other students do a more independent project in collaboration with one of the research groups.

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