Data Science Academic Programs in U.S. Universities

This dataset contains structured information about different Data Science academic programs offered by universities within the United States. It was created to help analyze and compare universities based on their degree programs, admission requirements, and academic statistics in recent years. The data was collected from multiple sources including College Scorecard, College Board BigFuture, U.S. News & World Report, and Center for World University Rankings (CWUR). Additional information was obtained and collected by directly checking on each individual university website to ensure that the data was accurate.
The dataset is organized into four related tables. The Universities table includes basic information about each university like the university name, location (city, state), type (public, private), and total enrollment. The Degree_Program table provides details such as program name, degree level (Bachelor, Master, Certificate, PhD), and the duration of the program. The Admission table includes admission requirements like minimum GPA, whether SAT is required when applying, application fee, and acceptance rate. Lastly, University_Statistics table contains annual data such as academic year, ranking, total students, and tuition fees.
The dataset is designed using a relational database structure to keep information organized and reduce duplicate data. Each table is linked through the usage of primary and foreign keys.
This dataset can be used to compare universities, study trends in tuition and rankings, and analyze differences in admission requirements. It is useful for students, researchers, and anyone who is interested in higher education data.