Main Ideas/Points

The model for providing ongoing enrollment analytics data/insights should be:

• flexible: can integrate new requirements rapidly without requiring wholesale changes

• robust: can withstand uncertainty, constant changes, variety of dataset size, and missing data without compromising overall integrity or validity

• comprehensive: all schools, programs, centers and units with programs or courses that ultimately generate a transcript are included

• inclusive: ensuring our core data reflects as accurately as possible the multiple disparate identities that every single prospect, applicant, and student brings with themNeeds to accommodate

Challenges

• Accommodating all kinds of schools and programs, most especially “non-traditional cycle” graduate & professional programs

  • multiple annual entry terms

  • spring or summer start dates

  • “unaligned” start dates (e.g. late July starts in Medical and Dental)

  • alternate application stages like , including interviewing /and traffic rules

  • small application populations

  Needs to accommodate

  • programs with external admissions vendors

• Accommodating a variety of dataset sizes; not all programs will have statistically significant numbers or numbers that make sense

• Aligning our consumption of external admissions vendors (e.g. CAS/Liaison) data with our standards

Points of ambiguity

• Which programs are included?

  • anything that ‘admits’?

  • anything that generates a transcript?

  • anything that generates an enrollment record?

    • corner cases include programs where students enroll in their coursework through University College, but are admitted into a program (GSBS: PREP)

• What counts as a “cycle”?

  • Application changes within cycle (MPH change concentration or start term from spring to fall)

• Clearly define when admissions stops being the “system of record” (

  i

  e.

  e

  g.,

  dropping

  if a student withdraws during add/drop,

  etc.

  does admissions update their decision stack?)

  • SIS quick admit

  • SIS history of admit decline? Program Action codes?

  • What counts as a complete application?

  • Deferrals

  • Withdrawals

  • Deny vs. Do Not Interview

  • our policies vs. external reporting organization requirements/policies (i.e., what APTA considers complete vs. what we TUSMGP PT consider complete.

  • Race/Ethnicity – different prompts in different systems, how do classify consistently need for consistent classifications

    • race

    • gender (e.g. is X an option?)

    • gender identity (East Asian vs. West Asian, Hispanic

    Spanish

    • country of origin, etc.)

    • veteran status

Initial Data points

Biodemo

• gender identity

• legal sex

• race/ethnicity

• veteran status

• state of residence

• US citizenship status

• other country or countries of citizenship

• year of birth

Programmatic

• school

• program

• concentration

• degree

• start term/year

concentration

degree

school

decisions

• application deadline(s)

• target enrollment number

Application cycle dates for each person

...

• application started

...

• application submitted

...

• application

...

• invited to Interview

...

• interview

• decision

...

• committed

...

• cancelled

...

• deferred

...

• enrolled

...

Sources

Paid marketing

{needs to accommodate different ways of attributing sources?]

Recruitment Activities

• Campus Visit

...

Recruitment Fair

...

• : anything where they physically come to us (admitted students day, in-person interviews)

• External Event: anything where we physically go to them (tabling at a conference, school visit or fair, etc)

• Online event (online recruitment fair, information session, or interview)

• Mailing campaign

Scholarship(s)

Decline Data?!

What school attending

...