Transfer Enrollment

Transfer enrollments are students who enroll in a university and transfer credits from another post-secondary institution and include both new and re-entry transfer students. New transfer students enroll in a new university after attending another post-secondary institution. Re-entry transfer students re-enroll in the same previously attended university having earned credits at another post-secondary institution.

Annual Enrollment

Enrollment is counted once per year-university. If there are multiple semesters at the same university, the student is counted once using the record based on the first full-term (Fall > Spring > Summer > Winter > May) and Entrance Status (New Transfer > Re-entry Transfer).

Fall Enrollment

The number of students enrolled during the fall semester.

Restructuring

Beginning with the 2019-20 academic year, each individual is counted once within a unique year-university, prior to 2019-20 each student was counted once per unique year-university-division. Prior to 2019-20, if a student moved from a branch campus to that branches’ main campus (e.g., from UW-Milwaukee Washington County to UW-Milwaukee) it counted as a transfer. Beginning in 2019-20 if a student moved from a branch campus to that branches’ main campus (e.g., from UW-Milwaukee Washington County to UW-Milwaukee) it does not count as a transfer.

Underrepresented Minority

Underrepresented minority (URM) students include those who indicated African American, American Indian, Hispanic/Latino(a), or Southeast Asian alone or in combination with other race/ethnicities. Non-URM students include students identifying as White, other Asian American, Native Hawaiian or Pacific Islander, or any combination of these three race/ethnicities. International students are not included.

Race/Ethnicity

Race/ethnicity is self-reported by the individual in one or more of the following categories: African American, American Indian, Hispanic/Latino(a), Southeast Asian, Other Asian American, White, and International. The category of Hispanic/Latino(a) includes students identifying as Hispanic/Latino(a) alone or in combination with other race/ethnicities. Individuals who are non-resident aliens (temporary U.S. visa holders) are categorized as International. Individuals who are not International and do not report a race or ethnicity are categorized as Unknown.

STEM

Science, Technology, Engineering, and Mathematics (STEM) and Health fields are defined using the following Classification of Instructional Program (CIP) 2010 areas: Agricultural Sciences (01.0308, 01.80, 01.09, 01.10, 01.11, 01.12), Natural Resources and Conservation (03), Computer Science and Info Systems (11), Engineering (14), Engineering Technology (15), Life/Biological Science (26), Mathematics and Statistics (27), Multi/Interdisciplinary Studies (30.01, 30.19, 30.27, 30.30, 30.70, 30.71), Kinesiology (31.0505), Physical Science (40), Science Technologies (41.9999), and Health (51).
UW STEM and health degrees are offered at the bachelor’s and graduate/professional levels. UW-Platteville did not confer degrees in health programs prior to 2021-22. UW Colleges did not offer a STEM or health degree but provided the foundation for students interested in STEM or health majors through a certificate program and areas of emphasis in STEM or health-related fields.

Transfer Enrollment Trends

• This story point (or tab) supports data-informed decision-making by offering a comprehensive view of transfer student enrollment patterns over time.
• It shows trend information across several categories of student: Age, Gender, Race/ethnicity, STEM, and underrepresented minority (URM), using the Select Bar Colors by Category filter and based on Enrollment Type  (Annual vs. Fall).
• The user can then further filter based on specific values:
  • Transfer Type (New Transfer, Re-entry Transfer)
  • Receiving University
  • STEM
  • Age Category
  • Gender
  • Race/Ethnicity
  • URM
• For example, selecting “Bar Colors by Category” and choosing “Age” allows you to filter by URM. This enables the user to see the age distribution of students within the URM category

Transfer Enrollment Trends Business Questions

• What is the Fall enrollment of transfer students in a particular year?
• How has Fall enrollment change year over year?
• Has the age of URM students changed year over year?
• How have transfer enrollment trends changed over time?
• What are the demographic breakdowns (Age, Gender, Race/Ethnicity, URM, STEM) of transfer students?
• Which receiving universities are attracting the most transfer students?
• Are URM students transferring at the same rates as non-URM students?
• How does transfer enrollment compare between STEM and non-STEM students?
• Are there gender disparities in transfer enrollment, particularly in STEM fields?

Transfer Enrollment by Receiving University and Sending Institution Type

• The story point is particularly useful for users who are working to optimize transfer pathways, improve student success, and strengthen partnerships with sending institutions.
• The Transfer Enrollment by Receiving University and Sending Institution Type story point (or tab) shows interactive tables which allows you to see:
  • Transfers by Receiving University, with conditional formatting based on the number of transfers.
  • Transfers for each Receiving University by the Sending Institution Type.
  • Both of these tables present data for at least 10 years.
• It allows the user to then further filter based on:
  • Enrollment Type (Annual vs. Fall)
  • Transfer Type (New Transfer, Re-entry Transfer)
  • Receiving University
  • Age Category
  • Gender
  • Race/Ethnicity
  • Underrepresented Minority (URM)

Business Questions

• How have transfer enrollments changed over the past 10 years?
• Which types of sending institutions (e.g., community colleges, four-year institutions) contribute the most transfers to each university?
• How does the mix of sending institution types vary by receiving university?
• How do transfer patterns differ by gender, age, and race/ethnicity?
• What percentage of transfer students are in the in URM vs. Non-URM categories?
• Are targeted recruitment efforts leading to increased transfers from specific institution types or student populations?
• Should universities allocate more resources to partnerships with specific sending institution types?

Transfer Enrollment by Sending Institution Type and Top 10 Sending Institutions

• The Transfer Enrollment by Sending Institution Type and Top 10 Sending Institutions story point provides insights into transfer enrollment patterns, focusing on sending institution types and top feeder schools, which help universities optimize transfer pathways and improve student success strategies.
• It displays visualizations and tables that enable users to view:
  • Transfer Enrollment Trends by Type of Sending Institution
  • Top 10 Sending Institutions by the Sending Institution Type. For example, the top 10 WTCS schools sending transfer students.
  • It allows the user to see either a single year’s Top 10 or an aggregated 10-year Top 10.
• It allows the user to then further filter based on:
  • Sending Institution Type
  • Receiving University
  • Enrollment Type (Annual vs. Fall)
  • Transfer Type (New Transfer, Re-entry Transfer)
  • STEM
  • Age Category
  • Gender
  • Race/Ethnicity
  • Underrepresented Minority (URM)

Business Questions:

• How have transfer enrollments changed over the past 10 years?
• Which types of sending institutions (e.g., community colleges, four-year institutions) contribute the most transfers to each university?
• How does the mix of sending institution types vary by receiving university?
• How do transfer patterns differ by gender, age, and race/ethnicity?
• Are STEM transfer rates increasing or decreasing over time?
• Are certain universities more reliant on specific types of sending institutions?
• Are targeted recruitment efforts leading to increased transfers from specific institution types or student populations?
• Should universities allocate more resources to partnerships with specific sending institutions?

Transfer Enrollment by Sending Institution and Receiving Institution

• The story point is particularly useful for users who want to look at individual Sending Institutions and their relationships with Receiving Institutions.
• The Transfer Enrollment by Sending and Receiving Institution story point (or tab) contains an interactive table showing individual Sending Institutions’ Transfer Enrollment at Receiving Universities of Wisconsin institutions.
• It allows the user to then further filter based on:
  • Enrollment Type (Annual vs. Fall)
  • Select Year
  • Transfer Type (New Transfer, Re-entry Transfer)
  • Sending Institution Type
  • Age Category
  • Gender
  • Race/Ethnicity
  • Underrepresented Minority (URM)

Business Questions

• Which institutions consistently send the most transfer students?
• Are new institutions emerging as significant sources of transfer students over time?
• Are certain institutions gaining or losing influence as transfer pipelines?
• How do transfer patterns vary by race, gender, and age across different sending institution?
• Which sending institutions are the strongest feeders for each receiving university?
• Are there specific sending institutions that could be targeted for stronger partnerships?
• How do transfer enrollments from different sending institutions compare across receiving universities?
• Should universities focus recruitment efforts on specific schools?

Transfer Enrollment by CIP Major Area

• The story point provides insights into transfer enrollment by Classification of Instructional Programs (CIP) Major Area and Sub-Areas, providing analysis on transfer student interests, optimize academic offerings, and support strategic enrollment planning.
• The Transfer Enrollment by CIP Major Area story point (or tab) shows visualizations which allow users to see:
  • The CIP major area and the Transfers by CIP Sub-Area arranged in descending order based on enrollment for individual years or aggregated over a 10-year period.
• It allows the user to then further filter based on:
  • Enrollment Type (Fall vs. Annual)
  • Year
  • Receiving University
  • Sending Institution Type
  • STEM

Business Questions

• Which CIP Major Areas have the highest transfer enrollment?
• What are the most popular CIP Sub-Areas among transfer students?
• Which receiving universities enroll the most transfer students in each CIP Major Area?
• How do transfer enrollments by major vary across different receiving universities?
• How does STEM transfer enrollment compare to non-STEM enrollment?
• Which CIP Major Areas within STEM have the highest transfer numbers?
• Are transfer students more likely to enroll in STEM or non-STEM fields at specific universities?
• Should institutions adjust academic program offerings based on transfer enrollment trends?
• Are there academic programs that could be expanded or better aligned with transfer student demand?
• How do transfer student enrollments align with workforce demand in key industries?

Transfer Enrollment by Discipline and Major

• The story point provides insights into transfer enrollment trends by UW academic discipline and major, helping you to analyze transfer student interests, optimize academic offerings, and support strategic enrollment planning.
• The Transfer Enrollment by Discipline and Major story point (or tab) shows visualizations which allows you to see:
  • The Discipline and the Transfers by Major arranged in descending order based on enrollment.
• It allows the user to then further filter based on:
  • Enrollment Type (Fall vs. Annual)
  • Year
  • Receiving University
  • Sending Institution Type
  • STEM

Business Questions

• Which disciplines and majors attract the most transfer students?
• Are there differences in transfer enrollment based on the type of sending institution?
• Compare how different universities attract transfer students into various majors.
• What is the distribution of STEM vs. non-STEM transfers by discipline and major?
• What is the demand for STEM programs among transfer students?
• Which disciplines or majors may need targeted recruitment efforts?
• What are the areas where additional transfer pathways could be developed?