research directions
SCAI pursues collaborative research in computing, artificial intelligence, data science, robotics, and mathematics, with a strong focus on translating fundamental research into practical technological solutions. The School’s key research and development directions include:

  1. Artificial Intelligence and Machine Learning;
  2. Data Science and Big Data Analytics;
  3. Computer Science and Software Engineering;
  4. Robotics and Intelligent Systems;
  5. Applied Mathematics and Computational Modelling.

SCAI provides a collaborative research environment that enables faculty members, researchers, and students to pursue their academic and research interests within these strategic directions. The School integrates academic education, applied research, modern laboratories, industry-based projects, and career preparation, creating opportunities for students to develop both theoretical knowledge and practical skills.

The School encourages the pursuit of research excellence, the free exchange of ideas, interdisciplinary cooperation, and the recognition of achievements based on merit. Collaboration within Nazarbayev University, as well as with national and international academic institutions, research centres, and industry partners, is strongly encouraged and supported.
The profiles, projects, publications, research outputs, and activities of the School of Computing and Artificial Intelligence’s researchers can be accessed through the link below:

The School of Computing and Artificial Intelligence’s page on the NU Research Portal.
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