Interdisciplinary Science Rankings 2025

Explore the top ranked universities for interdisciplinary science research

Discover the top universities worldwide for interdisciplinary science research with the inaugural Times Higher Education Interdisciplinary Science Rankings, a project in association with Schmidt Science Fellows. We have ranked 749 universities from 92 countries/territories, a record for a new ranking.

Interdisciplinary Science Rankings 2025: key insights

  • MIT is number one in the world for interdisciplinary science, thanks to high scores for outputs and process
  • The highest ranked university outside the US is National University of Singapore at number three
  • Prince Mohammad Bin Fahd University in Saudi Arabia has the highest score under the inputs pillar
  • Stanford University, ranked number two, has the highest score under the outputs pillar
  • The country with the largest number of ranked universities is India with 65, followed by Turkey with 45

Explore the table below to discover the full ranking and how universities around the world are performing on interdisciplinarity.

Learn more

The Interdisciplinary Science Rankings is the first effort of its kind to measure universities’ contributions and commitment to interdisciplinary science. It includes 11 carefully calibrated performance indicators to assess institutions across three key areas, each representing a stage in the life cycle of research projects: inputs (funding); process (measures of success, facilities, administrative support and promotion); and outputs (publications, research quality and reputation).

Our detailed methodology is based on:

  • 157 million citations
  • 18 million research publications
  • Survey responses from more than 20,000 scholars globally

Our analysis of the data finds that there is no silver bullet when it comes to interdisciplinary success.

To unlock the data behind THE’s rankings and access a range of analytical and benchmarking tools, visit our data and insights page.

rank order世界排名名称
国家 / 区域
Node ID
总得分
Inputs
Process
Outputs