Leiden University BSc Data Science and Artificial Intelligence
Leiden University

Leiden University

BSc Data Science and Artificial Intelligence

  • Leiden, Netherlands
  • The Hague, Netherlands

BSc

3 years

English

Full time

01 Apr 2027*

Sep 2027

EUR 2,694 / per year **

On-Campus

* Apply by 1 April 2027 (non-EU/EEA students) or 1 May 2027 (EU/EEA students).

** Dutch, EU/EEA, Swiss and Surinamese students: EUR 2,771 per year (2027/2028).

Key Summary

About: You study a BSc in Data Science and Artificial Intelligence at Leiden University, combining computer science, mathematics, statistics, machine learning, cognitive science, and human–robot interaction. Teaching draws on LIACS and the Institute of Psychology research; you'll engage in research projects, develop programming, algorithmic and computational thinking skills, and choose interdisciplinary minors via the Leiden‑Delft‑Erasmus alliance.

Career Outcomes: Graduates can work as data scientists, machine learning engineers, AI consultants, business intelligence developers, or computer research scientists. You can enter industry across sectors or continue to a master's, including Leiden's Computer Science master with specializations in Artificial intelligence and Data science.

Are you interested in human cognition? Are you eager to understand AI, and how the technology works? In the bachelor Data Science & Artificial Intelligence you will develop a strong fundamental basis in computer science, mathematics and statistics combined to advanced machine learning, cognitive science and AI competence.

This programme is aimed at students who have a strong interest in programming, computer science, and have strong mathematical skills, as well as an interest in the human brain and information processing.

Why Data Science & Artificial Intelligence in Leiden?

  • Computational thinking and data science: In Leiden we believe: a competent AI engineer, is first and foremost a skilled computer scientist. You will learn to understand how information is created, gain insights into algorithms and learn programming skills.
  • Research University: Teaching is directly inspired by current research, students can participate in research projects, and they will be encouraged to engage in critical thinking and develop problem solving skills. Lectures will be given by research staff from LIACS (Leiden Institute of Advanced Computer Science), Institute of Psychology and Leiden University Centre for Linguistics.

What you will learn

The Bachelor's degree trains future computer scientists in the fields of Data Science and Artificial Intelligence. When you graduate you will be ready for a range of career options. Students graduating from the bachelor’s programme can continue with a master’s programme in Computer Science in Leiden, or other AI or computer science master programmes at Dutch or international universities. Graduates will have developed key competencies in data science and AI. You will possess both theoretical knowledge as strong pratical skills. You will be able to work as a data scientist in a wide range of industries, or continue your study after achieving the Bachelor's programme.

How you will learn

The programme offers a balanced mix of theory and practice. Most courses include exercise classes in which students practice theory. For instance, they solve mathematical problems, or practice with programming assignments. The exercise classes take place in groups of 25 to 30 students and are led by student-assistants or more experienced teaching-assistants under supervision of the course lecturer. Assignments will be either individual or in groups of two or three students.

Career prospects

Examples of careers are:

  • Data & AI specialists / analist / consultant / engineer
  • Machine Learning engineer
  • Data scientist
  • Computer Research Scientist
  • Business intelligence developer

Master's programme

You can also move on to a master's programme:

  • Master Computer Science
  • ICT in Business and the Public Sector
  • Media Technology (after an interview, and with conditions)
  • Statistics and Data Science

After completing a pre-master's programme

  • Astronomy: Astronomy and Data Science
  • Psychology
  • Data or AI specialist
  • Machine Learning engineer
  • Data scientist
  • Computer Research Scientist
  • Business intelligence developer