Computer Science 2026

Computer Science, published by Times Higher Education World University Rankings, evaluates universities worldwide using key indicators such as Teaching, Research Environment, Research Quality, Industry, International Outlook, each assigned a distinct weight according to a publicly documented methodology. Data sources combine academic peer reviews, employer surveys, bibliometric databases such as Scopus and Web of Science, and institutional self-reported statistics, all independently verified by the publisher's research team. The 2026 edition assessed 1163 universities from 2 countries and regions, covering teaching quality, research output, internationalization, and graduate employability across undergraduate, master's, and doctoral programs. Times Higher Education World University Rankings recollects raw data annually and cross-checks results to ensure the rankings reflect each institution's most current performance in faculty strength, scholarly productivity, global reach, and student outcomes, providing a reliable reference for prospective students, parents, and education researchers.

The top universities in Computer Science 2026 are: Yamaguchi University, Don State Technical University, MIREA - Russian Technological University, Moscow Aviation Institute, National Research University of Electronic Technology. This edition, published by Times Higher Education World University Rankings, evaluated 1163 universities from 2 countries and regions using indicators such as Teaching, Research Environment, Research Quality, Industry, International Outlook. Rankings reflect weighted performance across multiple dimensions; students should consider methodology differences and their own academic priorities when interpreting results.

THE (Times Higher Education) World University Rankings is among the most comprehensive, evaluating universities across teaching (30%), research environment (30%), research quality (30%), industry income (2.5%), and international outlook (7.5%), with 18 fine-grained indicators. Data sources combine the Elsevier Scopus bibliometric database, academic reputation surveys, and institution-reported statistics. The methodology underwent a major 2024 revision, adding a Research Quality category to reduce reliance on sheer output volume. In comparison, QS leans more on reputation surveys, ARWU is built solely on objective research metrics (Nobel Prizes, highly cited researchers), and US News centers on research productivity and citation impact. THE suits applicants seeking a balanced view of a university's combined research and teaching strength.