Context

This dataset contains the US News rankings of the best American universities of undergraduate programs. This is how US News ranks the colleges: "We calculated 10 distinct overall rankings where colleges and universities were grouped by their academic missions. For each ranking, the sum of weighted, normalized values across 17 indicators of academic quality determine each school's overall score and, by extension, its overall rank. The top performer(s) in each ranking displays an overall score of 100. Others' overall scores are on a 0-99 scale reflecting the distance from their ranking's top-performing school(s). Those placing outside the top 75% display their ranking's bottom quartile range (e.g., No. 90-120) instead of their individual ranks (e.g., No. 102)."

Content

This dataset contains the rankings of 392 American universities based on their undergraduate programs. It also contains the tuitions and enrollment numbers of each university. 2 colleges don't have tuition data, so it is labelled -1.

Acknowledgements

We acknowledge US News for providing these rankings.

Inspiration

As a high schooler applying to undergraduate programs in America, it would be useful to know which colleges are best, and to compare tuitions and enrollment numbers.

Overview This dataset presents the Times Higher Education (THE) World University Rankings 2025, evaluating universities globally based on critical academic and research performance indicators. It provides a comprehensive view of institutions' strengths in teaching, research, industry collaboration, and international diversity.

Data Source The rankings are based on THE’s methodology, which incorporates a balanced mix of quantitative and qualitative indicators, assessing universities across multiple dimensions to determine their global standing.

Column Description - Rank & Dense Rank – Global ranking of universities. - University Name & Location – Institution names and respective countries. - Overall Score – Aggregated performance score. - Teaching Score – Quality of education and student experience. - Research Environment & Research Quality – Academic research output and impact. - Industry Engagement – Collaboration and funding from industries. - International Outlook – Global student and faculty diversity. - Number of FTE Students – Full-time equivalent student count. - Students per Staff – Student-to-faculty ratio. - International Students (%) – Proportion of international students.

Potential Use Cases - Comparative University Analysis – Identify top-performing institutions based on key metrics. - Higher Education Research – Study global education trends over time. - Decision-Making for Students & Academics – Assist students in selecting universities. - Policy & Investment Research – Evaluate funding impact on institutional performance.

Who Can Benefit? - Students & Parents – Choosing the best universities. - Researchers & Analysts – Understanding global higher education trends. - Education Consultants & Institutions – Benchmarking performance. - Policymakers & Investors – Assessing university funding and development impact.

This dataset is a valuable resource for data analysis, visualization, and insights into the ever-evolving landscape of global higher education.

Databases with information on Latin American universities according to the webometrics ranking.

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.

Dataset containing university rankings. See source: https://www.timeshighereducation.com/world-university-rankings

Originally used in:

Anahideh, Hadis, and Nasrin Mohabbati-Kalejahi. "Local explanations of global rankings: insights for competitive rankings." IEEE Access 10 (2022): 30676-30693. https://ieeexplore.ieee.org/abstract/document/9733934

This dataset is about universities in New York. It has 10 rows. It features 2 columns including ranking.

Dataset

This dataset was created by Neha Tiwari

Contents

The rankings include the Integrated Postsecondary Education Data System’s ID numbers, making it possible to easily merge them with any of IPEDS’ datasets.

Since 1983, the magazine U.S. News and World Report has been ranking US universities and colleges. While I do not in anyway endorse the specific methodology used to construct these rankings, I know that many academic institutions and scholars use these rankings in their research and institutional assessment. I was in turn frustrated that historical rankings were not easily available anywhere online. The spreadsheets above contain all of the rankings from 1985-present for liberal arts colleges and from 1984-present for universities.

The data for liberal arts colleges were compiled from the actual articles releasing the data each year (any errors in entry are my own). I have included tiers for many years for the liberal arts college rankings, but most were only available online and not in print editions. The second tab lists the information that is still missing. If anyone has any of that information please contact me, I would like to fill in all of the gaps.

The data for universities is incomplete, with some years containing only the top 50 universities and others 150. They were compiled with the help of Akil Bello and Arjun Khandelwal from existing online sources. The second tab of each spreadsheet includes specific notes on the rankings for each year and sources. If anyone has any of the missing data, please contact me, I would like to fill in all of the gaps. Thanks to Melissa Whately for help with the IPEDS numbers.

Andrew G. Reiter, “U.S. News & World Report Historical Liberal Arts College and University Rankings,” available at: http://andyreiter.com/datasets/

Comprehensive dataset of college football teams ranked by all time record. Includes historical data, statistics, and performance metrics for NCAA Division I FBS teams.

Comprehensive dataset of college football teams ranked by heisman winners. Includes historical data, statistics, and performance metrics for NCAA Division I FBS teams.

Comprehensive dataset of college football teams ranked by nfl draft picks. Includes historical data, statistics, and performance metrics for NCAA Division I FBS teams.

::: METHODOLOGY :::

The Center for World University Rankings (CWUR) publishes the only academic ranking of global universities that assesses the quality of education, alumni employment, quality of faculty, and research performance without relying on surveys and university data submissions.

CWUR uses seven objective and robust indicators grouped into four areas to rank the world’s universities: - Education: based on the academic success of a university’s alumni, and measured by the number of a university's alumni who have won prestigious academic distinctions relative to the university's size (25%) - Employability: based on the professional success of a university’s alumni, and measured by the number of a university's alumni who have held top positions at major companies relative to the university's size (25%) - Faculty: measured by the number of faculty members who have won prestigious academic distinctions (10%) - Research: i) Research Output: measured by the total number of research papers (10%) ii) High-Quality Publications: measured by the number of research papers appearing in top-tier journals (10%) iii) Influence: measured by the number of research papers appearing in highly-influential journals (10%) iv) Citations: measured by the number of highly-cited research papers (10%)

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This dataset is about universities in Seattle. It has 1 row. It features 3 columns: city, and ranking.

The dataset contains ranking-and-academic-year, university/institute- and state-wise compiled data on the capital and operational expenditure incurred by the educational institutions, as per the National Institutional Ranking Framework (NIRF) data. The different types of expenditure covered in the dataset include expenditure incurred towards seminars/conferences/workshops, salaries (teaching and non-teaching staff), maintenance, other running expenditures and creation of capital assets, new equipment for laboratories, libraries, etc.

This dataset is about universities in Baton Rouge. It has 1 row. It features 3 columns: ranking, and undergraduate students.

Comprehensive dataset of college football teams ranked by first round nfl draft picks. Includes historical data, statistics, and performance metrics for NCAA Division I FBS teams.

The dataset contains ranking-and-academic-year-, state-, and university/institute-wise compiled data on the total sanctioned capacity of student admissions in different post and under graducate programmes of study in India, as per the National Institutional Ranking Framework (NIRF) data.

Context

This Dataset is about top universities around the world according QS ranking from 2018 to 2022, Life Science and Medicine Department. This is a Clear Dataset.

Contains

This dataset is containing 6 columns and 5200+ rows. Year : This column has value 2018,2019,2020,2021,2022 Rank : Rank is given by QS according to point starts with 1 Name : Every University names based on Rank Point : Every University has own earned point, based on education quality, faculty facilities, student facilities and so on City : A university located city. Country : University's located Country

Target

Using this dataset you can do awesome analysis and build a story.

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In comparison with the previous version this dataset contains two sets of data on educational, research, international, financial and economic activities and public recognition for 93 leading Russian universities, grouped into 4 categories, and other Russian universities for the period 2015-2018. The following categories refers to the leading universities: Federal, National Research and Flagship universities, together with universities-participants of the Russian Academic Excellence Project (Project 5-100). In addition to the data collected from materials published in the monitoring of higher education institutions’ effectiveness, held by the Ministry of Science and Higher Education of the Russian Federation, Web of Science (citation-based research analytics tool InCites) and Scopus (citation-based research analytics tool SciVal) databases, materials from international ranking agencies QS, THE, ARWU, this dataset contains the comparative analysis of universities activities, the results of indicators aggregation for the specified types of activities and the offset, calculated using the Displaced Ideal Method. The data are presented in Excel format. The first Excel sheet contains the data for 93 leading universities. The collected dataset contains 93 records and 174 attributes. The second Excel sheet contains the data for universities categories: FU – Federal Universities, NRU – National Research Universities, FlU – Flagship Universities, Project 5-100 – universities-participants of the Russian Academic Excellence Project, Other - 490 state and municipal organizations of higher education (without Lomonosov Moscow State University (MSU) and St. Petersburg State University (SPbSU). The data are averaged by indicators (median values), except for the positions in rankings, for which the total number of universities included in the respective rankings is indicated. The collected dataset contains 5 records and 118 attributes. Researchers can use this dataset for socio-economic studies in comparative analysis of higher education system development level in different countries.

National Universities Rankings

Analyze 1,800 U.S. Universities and their Academic Performance

By Education [source]

About this dataset

Welcome to the U.S. News & World Report's 2017 National Universities Rankings, a comprehensive dataset of over 1,800 schools across the United States providing quality data on admissions criteria, cost of tuition and fees, enrollment numbers, and overall rankings! Here you'll find up-to-date information on institutes of higher learning from Princeton University at the top spot in Best National Universities to Williams College at No. 1 on the Best National Liberal Arts Colleges list.

This collection of data is all that's needed for potential students - parents, counselors and more - to evaluate their choices in selecting a college or university that perfectly meets their needs. For instance: what is the total tuition & fees cost? What are student enrollment numbers? How have students rated this school? Which universities have been recognized as top institutions in academics by U.S. News & World Report? What admissions criteria do these schools evaluate when considering an applicant's profile? The answers lie within this dataset!

Explore each category separately as well as with other considerations through visuals like our scatter plot to get an inside look into collegiate education from enrollment patterns charted against yearly expenses including room & board charges without forgetting several crucial factors such as six-year graduation rates and freshman retention rates measured among nations' universities included here -allowing for comparison and assessment beforehand for a well-rounded experience such that you can find your own path ahead!

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How to use the dataset

This dataset contains information on the quality, tuition, and enrollment data of 1,800 U.S.-based universities ranked by U.S. News & World Report from 2017. It includes rankings from the National University and Liberal Arts College lists in addition to relevant data points like tuition fees and undergraduate enrollments for each school.

Users can take advantage of this dataset to build models that predict ranking or predicting cost-benefit results for students by using cost-related (tuition) metrics along with quality metrics (rankings). Alternatively users can use it to analyze trends between investments in higher education versus outcomes (ranking), or explore the relationship between enrollments for schools of varying rank tiers, etc...

For more information on how rankings are calculated please refer to this methodology explainer on U.S news website

Here is an overview of all columns included in this dataset:

Columns:Name - institution name,Location - City and state where located,Rank - Ranking according to U.S News & World Report ,Description - Snippet of text overview from U.S News ,Tuition and fees – Combined tuition and fees for out–of–state students ,In–state – Tuition and fees for in–state students ,Undergraduate Enrollment – Number of enrolled undergraduate students .

Using this column detail as a guide we can answer questions like ‘which colleges give highest ROI ?’ or ‘Which college has highest number undergraduates?’ . For statistical analysis such as correlation we may use a visual representation such as a scatter plots or bar graphs accordingly making it easier analyses trends found within our dataset ans well as exploring any relationships between different factors such us tuitions vs ranks

Research Ideas

• Developing a searchable database to help high school students identify colleges that match their criteria in terms of tuition, graduation rate, location, and rank.
• Identifying correlations between enrollment numbers and university rank in order to better understand how the number of enrolled students effects the overall ranking of a university.
• Comparing universities with similar rankings in order to highlight differences between programs’ tuition and fees as well as retention rates

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, ...