Adapting Russian Higher Education to Global Trends: The Growing Importance of Data Mining and English Language

This research explores the major challenges to the Russian Higher Education system. The paper articulates how easily the future specialist could adjust to the international work market and address the challenges in the best way possible to further advancement and prosperity of Russia with quality training and advanced technologies. In attempting to make sense of these issues, the study contemplates a new scheme of educational content that aims to increase the use of data mining techniques related to prediction analysis and the English language’s potential. By leveraging data mining, educators can gain valuable insights into student performance, learning outcomes, and educational patterns. This enables them to identify areas for improvement and tailor educational programs to meet the demands of the global job market. The proposed methodology also looked into ways to select the best data mining methods to predict future global trends related to educational qualifications. A Comparative study and analysis among Russian students from different universities has taken place to understand the effectiveness of the proposed methods to enhance goal-oriented professional competency.