Tracks
Mathematics & Statistics Track
Focuses on developing mathematical models and quantitative analysis, providing the theoretical foundation for AI applications. It also includes data analysis and pattern recognition, which enhance the effectiveness of machine learning algorithms.
Chemistry Track
Concentrates on leveraging AI technologies to improve efficiency and foster innovation in a variety of chemical applications.
Biology Track
Encompasses studying ecosystems and biological applications, as well as developing sustainable solutions using AI technologies.
Geology & Physics Track
Includes analyzing astronomical data and modeling using AI technologies, while supporting smart applications in exploring natural resources and understanding geological phenomena.
