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.

本数据集收录了美国境内各高校开设的各类数据科学学术项目的结构化信息，旨在助力基于近年学位项目、招生要求及学术统计数据对高校开展分析与对比。
本数据集的数据采自多个渠道，包括大学评分卡（College Scorecard）、大学理事会未来大计划（College Board BigFuture）、《美国新闻与世界报道》（U.S. News & World Report）以及世界大学排名中心（Center for World University Rankings, CWUR）；此外还通过逐一核查各高校官方网站补充收集了额外信息，以确保数据准确性。
本数据集共包含四张关联数据表，具体如下：
1. 高校表（Universities table）：收录各高校的基础信息，包括高校名称、所在城市与州、办学性质（公立、私立）以及总注册学生数。
2. 学位项目表（Degree_Program table）：提供项目相关细节，如项目名称、学位层次（学士、硕士、证书、博士）以及项目学制。
3. 招生表（Admission table）：包含招生要求相关信息，如最低GPA要求、申请时是否需提交SAT成绩、申请费以及录取率。
4. 高校统计表（University_Statistics table）：收录年度数据，包括学术年份、排名、总学生数以及学费标准。
本数据集采用关联数据库架构进行组织，通过主键与外键实现各数据表的关联，以保障信息规整并减少数据冗余。
本数据集可用于高校对比、学费与排名趋势研究以及招生要求差异分析，适用于学生、研究人员及所有对高等教育数据感兴趣的人群。