Northeastern Common Data Set: A Comprehensive Insight for Higher Education Institutions

The Northeastern Common Data Set (CDS) is a standardized collection of data that provides valuable insights into the admissions, enrollment, and financial aid practices of higher education institutions. It plays a crucial role in helping students, families, and policymakers understand the landscape of post-secondary education.

Key Highlights & Statistics

According to the CDS, here are some key statistics for the 2021-22 academic year:

• 8,523 students enrolled as first-year undergraduates
• 38% of first-year undergraduates were from out-of-state or international
• 12,590 graduate students were enrolled, including 4,490 doctoral students
• **Tuition and fees for the 2022-23 year were $58,100 for undergraduate students and $52,400 for graduate students
• 42% of undergraduates received some form of financial aid, with an average grant or scholarship amount of $32,590
• 100% of undergraduates had access to on-campus housing

Applications and Data Utilization

The Northeastern CDS has a wide range of applications and serves various audiences, including:

• Students: Helps them compare institutions, understand admissions criteria, and make informed decisions about their college choices.
• Families: Provides insights into costs, financial aid options, and campus life to support their students' college search.
• Educators: Enriches data-driven discussions on enrollment management, program planning, and resource allocation.
• Policymakers: Informs policy decisions related to higher education access, affordability, and quality.
• Researchers: Facilitates research on trends in higher education, student outcomes, and the impact of various policies.

Innovative Applications for the Northeastern CDS

The Northeastern CDS can also inspire innovative applications to enhance its value further:

• Data Visualization and Storytelling: Developing interactive data visualizations and narratives to make complex data more accessible and engaging for different audiences.
• Predictive Analytics: Utilizing machine learning algorithms to predict student success, enrollment patterns, and financial aid needs.
• Personalized College Search: Creating personalized college search tools that leverage the CDS data to match students with institutions that align with their academic aspirations, financial capabilities, and lifestyle preferences.

Tables for Reference

| Table 1: Undergraduate Enrollment by Gender and Race/Ethnicity |

| Table 2: Graduate Enrollment by Degree Level and Gender |

| Table 3: Average Financial Aid Received by Undergraduates |

| Table 4: Faculty Composition and Student-Faculty Ratio |

Tips and Tricks for Using the Northeastern CDS

• Explore the Website: Visit the official Northeastern CDS website for detailed information and interactive data visualizations.
• Use Search Filters: Utilize the search filters to easily find data specific to your interests, such as enrollment trends, financial aid packages, or campus facilities.
• Compare Institutions: Use the "Compare" feature to view data side-by-side from multiple institutions and identify similarities and differences.
• Download Data: Download the CDS data in various formats (e.g., Excel, CSV) for further analysis or integration into your own projects.
• Stay Updated: Check the Northeastern CDS website regularly for updates and new data releases.

By leveraging the Northeastern CDS and exploring its innovative applications, higher education institutions, students, families, policymakers, and researchers can gain valuable insights to improve decision-making, enhance college access, and promote student success.