International Studies & Programs

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Data Sources and Definitions

International Research and Scholarship

Externally funded projects

External funding and project data included in this dashboard is obtained from MSU’s Office of Sponsored Programs (OSP) Kuali Coeus (KC) Research Administration database and does not reflect the following: independently conducted faculty research and scholarship, education abroad, representation of international students and/or scholars, MSU-funded international activities, or any international activities that are not routed through and captured by the KC database. Fee-for-service work may or may not be included.

This dashboard includes data starting from 1/1/2017, using data based on the MSU board date (the date an award is approved by MSU’s Board of Trustees), not awarded date. A multi-year award may be allocated all at once, and in this case, the data is reflected in a single year. Alternatively, a multi-year award may be allocated incrementally (typically annually) over the duration of the award period, and in this case, the data is reflected incrementally over the duration of the award period.

Projects are categorized as single-country, multi-country, and regional, depending on how many countries are involved in the project. "Multi-country" is 2-5 countries and "Regional" is more than 5 countries within a single region.

Theme assignment is subjective and based on the title and any other available information. Projects are assigned to one theme and subtheme, even for multidisciplinary projects.


International Research Collaboration

Source: InCites by Thomson Reuters

International Education and Training

International Student Enrollment:

Source - Office of Planning and Budgets (OPB), MSU

International Education/ Research Abroad:

Source - Office for Education Abroad, International Studies and Programs (ISP), MSU

International Agreements

Source - International Studies and Programs (ISP), MSU


Every attempt has been made to ensure accuracy of the data and the analysis that follows. We are constantly improving our methods and efficiency, and the accuracy of our analyses has been improving over time. Even so, because of system limitations, data consumers should expect there to be a margin of error.