Data Science and Artificial Intelligence




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Harness the power of data and artificial intelligence with Leiden University’s innovative Bachelor of Science in Data Science and Artificial Intelligence (DS&AI). This three-year, full-time program provides a comprehensive foundation in computer science, mathematics, statistics, and cutting-edge data science and AI techniques.
Become a Data-Driven Problem Solver: Learn to collect, analyze, and interpret vast amounts of data to uncover meaningful patterns and insights. Develop the ability to design and implement intelligent systems that can learn, adapt, and solve complex problems.
Build a Strong Foundation: Gain a solid understanding of core data science and AI concepts, including machine learning, data mining, natural language processing, and computer vision. Master essential programming languages, statistical methods, and data visualization techniques.
Nurture Your Analytical Skills: Refine your critical thinking, problem-solving, and analytical abilities. Learn to effectively communicate complex data insights to both technical and non-technical audiences.
Project-Based Learning: Develop your practical skills through engaging data science and AI projects. Work on real-world datasets, tackling challenges faced by industry partners or pursuing your own data-driven research projects.
Cutting-Edge Curriculum: Stay at the forefront of the field with a curriculum that incorporates the latest advancements in data science and AI. Explore emerging trends such as deep learning, big data analytics, and the ethical implications of AI.
Industry Connections: Benefit from Leiden University’s strong industry partnerships. Gain valuable insights from guest lectures by industry professionals and explore potential internship opportunities with leading data science and AI companies.
Graduates emerge as versatile data scientists and AI specialists, prepared for diverse careers in various fields, including:
- Data scientist
- Machine learning engineer
- Data analyst
- Business intelligence analyst
- AI researcher
- Data visualization specialist
- Big data engineer
Admissions Requirements
High School Diploma with a comparable level on Mathematics and a GPA of 3.5 out of 4.0.
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- Bachelors
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- Required