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International Student Application Outcomes (US Universities)
Education & Learning Analytics
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About
Application data from international students who applied to US universities for bachelor's degrees during the 2023 cycle is explored here. The United States is the largest destination for international students seeking to study abroad, and its admissions processes are often considered unpredictable. This information helps in analysing patterns within the admissions process and understanding the profiles and acceptance details of international applicants.
Columns
- Index column: An index for each record.
- highschool: Details about the student's high school, such as whether it was a private or public institution.
- URM: Indicates if the student identifies as an underrepresented minority.
- satact: The student's SAT or ACT scores.
- GPA: The Grade Point Average of the student.
- essayrating: The student's self-assessed rating of their application essay, on a scale out of 10.
- ecrating: The student's self-assessed rating of their extracurricular activities.
- lor: The student's rating for their letters of recommendation.
- faaltu: Responses to a fun, informal question from the data extraction form, which can likely be dropped from analysis.
- edaccept: Information related to early decision or early action acceptances.
- Did you get into your ED/REA college?: A yes/no field indicating the outcome of the student's early decision/restrictive early action application.
- acceptance: Details on the universities that accepted the student.
- attending: The university the student plans to attend.
- Add. Info/Context: Additional comments or context provided by the student.
Distribution
The data is provided in a single CSV file named
admissiondata.csv with a size of 12.97 kB. It contains 14 columns, and while the total number of rows is not explicitly stated, there are 59 valid records for many of the fields.Usage
This data is ideal for analysing patterns in the US university admissions process for international students. It can be used by prospective students, educational consultants, and university admissions researchers to understand the profiles of successful applicants and the factors influencing acceptance. Data analysts can use it to build predictive models for university acceptance rates.
Coverage
The data covers international students applying to US universities for the 2023 application cycle. It does not specify the geographic origins of students beyond their "international" status. The demographic scope includes a field for underrepresented minority (URM) status. The dataset is expected to be updated annually.
License
CC0: Public Domain
Who Can Use It
- Prospective International Students: To benchmark their academic and extracurricular profiles against those of admitted students.
- Admissions Consultants: To refine their advice and strategies for international applicants based on recent trends.
- University Researchers: To study the factors that influence international student admissions in the US.
- Data Analysts: To explore patterns and relationships between applicant profiles and admission outcomes.
Dataset Name Suggestions
- US University Admissions Data for International Students 2023
- International Student Application Outcomes (US Universities)
- 2023 US College Application Profiles: International Students
- American University Acceptance Data for International Applicants
Attributes
Original Data Source: International Student Application Outcomes (US Universities)
QUALITY