Explore the Times Higher Education World University Rankings 2026 below. Trusted worldwide by students, academics, governments and industry experts, the list of the best universities in the world includes 2,191 institutions from 115 countries and territories.

University League Table Ranking data from The Guardian. Scraped from here in 2022.

Explore the Times Higher Education World University Rankings 2025 below. Trusted worldwide by students, teachers, governments and industry experts, the list ranks 2,092 institutions from 115 countries and territories.

Top UK Schools (GCSE Rankings) Interactive data visualizations. Free.

The Times Higher Education World University Rankings 2013-2014 list the best global universities and are the only international university performance tables to judge world class universities across all of their core missions – teaching, research, knowledge transfer and international outlook.

NIRF India 2024 University Rankings

This dataset contains the official university rankings for the year 2024, published by the National Institutional Ranking Framework (NIRF), under the Ministry of Education, Government of India.

It includes rankings of top Indian universities based on various performance metrics such as Teaching, Learning & Resources, Research and Professional Practices, Graduation Outcomes, Outreach & Inclusivity, and Perception.

📅 Year: 2024
📍 Country: India
🏛️ Source: Ministry of Education, Government of India
🔗 Official Website: https://www.nirfindia.org

The highest-ranked European university in 2025 according to Times Higher Education (THE) is the University of Oxford with a score of 98.5 out of 100, followed by the University of Cambridge and Imperial College London. The University of Oxford is at the same time the best higher education institution worldwide. Of the top-20 universities in the rankings, eight were in the United Kingdom, with three in Germany and in the Netherlands, two in Switzerland and France, and one each in Belgium and Sweden.

Explore global rankings in the education and health sectors for government, private companies, non-profit organizations, and universities.

Education, World Rankings, government, Health, Private, Sector, Companies, Non-Profit, Universities, Higher education sectors, other

World

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Notes: The SIR reports are not league tables. The ranking parameter –the scientific output of institutions- should be understood as a default rank, not our ranking proposal. The only goal of this report is to characterize research outcomes of organizations so as to provide useful scientometric information to institutions, policymakers and research manager so they are able to analyze, evaluate and improve their research results. If someone uses this report to rank institutions or to build a league table with any purpose, he/she will do it under his/her own responsibility.Output - Total number of documents published in scholarly journals indexed in Scopus (Romo-Fernández, et al., 2011).International Collaboration - Institution's output ratio produced in collaboration with foreign institutions. The values are computed by analyzing an institution's output whose affiliations include more than one country address (Guerrero-Bote, Olmeda-Gómez and Moya-Anegón, 2013; Lancho-Barrantes, Guerrero-Bote and Moya-Anegón, 2013; Lancho-Barrantes, et al., 2013; Chinchilla-Rodríguez, et al., 2012)Normalized Impact - Normalized Impact is computed using the methodology established by the Karolinska Intitutet in Sweden where it is named "Item oriented field normalized citation score average". The normalization of the citation values is done on an individual article level. The values (in %) show the relationship between an institution's average scientific impact and the world average set to a score of 1, --i.e. a NI score of 0.8 means the institution is cited 20% below world average and 1.3 means the institution is cited 30% above average (Rehn and Kronman, 2008; González-Pereira, Guerrero-Bote and Moya- Anegón, 2011).High Quality Publications - Ratio of publications that an institution publishes in the most influential scholarly journals of the world, those ranked in the first quartile (25%) in their categories as ordered by SCImago Journal Rank (SJRII) indicator (Miguel, Chinchilla-Rodríguez and Moya-Anegón, 2011).Specialization Index - The Specialization Index indicates the extent of thematic concentration /dispersion of an institution’s scientific output. Values range between 0 and 1, indicating generalist vs. specialized institutions respectively. This indicator is computed according to the Gini Index used in Economy (Moed, et. al., 2011; López-Illescas, Moya-Anegón and Moed, 2011; Arencibia-Jorge et al., 2012). In this indicator, when the value is 0 it means that the data are not sufficient to calculate.Excellence Rate - Excellence rate indicates the amount (in %) of an institution’s scientific output that is included into the set of the 10% of the most cited papers in their respective scientific fields. It is a measure of high quality output of research institutions (SCImago Lab, 2011; Bornmann, Moya-Anegón and Leydesdorff, 2012; Guerrero-Bote and Moya-Anegón, 2012).Scientific Leadership - Leadership indicates an institution’s “output as main contributor”, that is the number of papers in which the corresponding author belongs to the institution (Moya-Anegón, 2012; Moya-Anegón et. al, 2013; Moya-Anegón, et al., forthcoming) Excellence with Leadership - Excellence with Leadership indicates the amount of documents in the Excellence rate in which the institution is the main contributor (Moya-Anegón, et al., 2013).

Data on the top universities for Computer Science in 2025.

Contain school and college level statistics on the performance of pupils reaching the end of the relevant Key Stage education in England Source agency: Education Designation: Official Statistics not designated as National Statistics Language: English

Data on the top universities for Engineering in 2025, including disciplines such as Chemical Engineering, Civil Engineering, and Mechanical and Aerospace Engineering.

The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

Dataset Description: Andhra Pradesh Colleges - Fees, Ranks, and Branches

Overview This dataset provides comprehensive information about colleges in the state of Andhra Pradesh, India. It includes key details such as college names, fees, ranks, and available branches, offering valuable insights for prospective students, educators, and policymakers.

Contents The dataset contains the following columns:

College Name: The name of the college. Fees: The annual tuition fees for different branches or programs offered by the college. Rank: The ranking of the college, which could be based on various criteria such as academic performance, infrastructure, placement records, etc. Branch: The specific branches or programs offered by the college, such as Engineering, Medicine, Business, etc. Key Features College Name: Provides the official name of the college. Fees: Represents the annual tuition fees in the local currency (INR). Rank: Indicates the rank of the college, which can help in identifying top-performing institutions. Branch: Lists the available branches or courses within the college. Use Cases Prospective Students: Helps students and parents compare colleges based on fees, ranks, and available branches, aiding in making informed decisions. Educational Researchers: Assists researchers in analyzing trends in higher education within Andhra Pradesh. Policy Makers: Provides data that can be used to improve educational policies and infrastructure. Data Source The dataset has been compiled from various credible sources including official college websites, government educational portals, and ranking organizations. It aims to provide accurate and up-to-date information for the academic year.

How to Use Data Analysis: Use the dataset to perform exploratory data analysis (EDA) to uncover trends and patterns in college rankings, fee structures, and branch availability. Visualization: Create visual representations such as bar charts, scatter plots, and heatmaps to better understand the distribution and relationships within the data. Machine Learning: Apply machine learning algorithms to predict future trends in college rankings and fee structures based on historical data.