Universities & colleges
Labor market data for universities and institutional research
Institutional research offices are asked to produce market evidence on a deadline, for audiences who will question it. Futurescope supplies that evidence ready to cite, with the provenance intact and the method documented — including for the figures that are modeled.
What it is used for
Program portfolio review
Every program against regional and national demand, the full wage distribution for the occupations it feeds, completions trend, and the competitive picture across institutions — for any peer set you define.
New program market viability
The demand case for a proposed degree, at the geography your students actually come from and go to, with the modeled components labeled so a provost's office knows exactly what is estimate and what is published.
Accreditation and state approval evidence
Reviewers want a citable source, not a vendor's index. Every figure is citable and dated, and narrative reports carry those notes into the exported document.
Peer benchmarking
Completions by CIP, award level and demographics against a named peer set — on the same basis, so it matches the numbers your peers report about themselves.
Career outcomes context
Regional and national wage distributions, projected openings and adjacent occupations by skill profile — the context that turns a placement rate into a story about where a degree leads.
Equity analysis
Who completes each program, benchmarked against both the resident population and hiring patterns in the occupations that program feeds.
In practice
Questions you can answer in a sitting.
- Is there regional demand for this proposed master’s program, and at what wage?
- How do our completions by CIP compare with our named peer set?
- Which of our programs face declining regional demand in the occupations they feed?
- What is the national wage distribution for our graduates’ target occupations, not just the median?
- Can we cite this in a substantive change submission?
Completions, program-to-occupation mapping and the full wage distribution are first-class dimensions here, not an afterthought bolted onto an employment database.
See it with your own region.
A 30-minute walkthrough on your data, not a canned demo. You keep whatever we build during it.