The Data Science and Analytics Program offers an undergraduate education focused on the fundamentals of data science and modern data analysis techniques. Our interdisciplinary program prepares students from various fields such as engineering, natural sciences, social sciences, and management sciences to succeed in a data-driven world. To this end, our curriculum, supported by the Faculty of Engineering and Natural Sciences, the Faculty of Arts and Social Sciences, and the Sabancı Business School, provides a solid foundation in statistical analysis, machine learning, large language models, and data management. Students benefit from the interdisciplinary curriculum, which enables the analysis of data from different fields using modern techniques and the extraction of valuable insights from data.

1. Work at engineering, consultancy, R&D, operation, and/or management departments of national and/or international companies, 
2. Complete master and/or PhD programs of respected universities by conducting original research in their disciplines or in interdisciplinary manner, and/or find positions at leading academic and research institutions;
3. Build and develop start-up companies using their entrepreneurial skills; 

with the foundations, knowledge, vision and experience they acquire from undergraduate education.

The following describes a recommendation to an eight-semester study plan and provides suggestions for different sets of tracks when possible.

• Course plan >