Step 1 — Geography: select target counties
✓
Baltimore City
72% grad rate · Hub location
FIT's physical hub. Highest economic disadvantage of the four counties — the price point is most powerful here. Strong Catholic and independent school sector (Loyola Blakefield, Maryvale, Archbishop Spalding). Primary channel: examination and technical high schools.
4,240
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Baltimore County
86% grad rate · Largest pool
Most populous of the four counties and the largest graduate pool. Economically diverse — ranges from affluent Towson and Catonsville to lower-income areas in the east. Home to UMBC, which has a strong CS and engineering culture that shapes the surrounding school ecosystem.
10,080
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Howard County
93% grad rate · Highest STEM density
One of the wealthiest counties in the US with a high concentration of federal contractors, NSA, and defense-sector professionals. Students here are academically strong but may feel squeezed between full-ride schools and mediocre state options — the most likely source of the deliberate, high-agency opt-out archetype.
6,865
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Anne Arundel
Conditional — 45 min commute friction. Not Year 1.
Sizeable graduate pool but significant commute friction to the Baltimore City hub. Lower tech density than Baltimore City, Baltimore County and Howard County. Include for reference; deprioritise for Year 1 outreach.
5,540
Graduate figures: MSDE 2023-24 public school enrollment x county graduation rates, plus an estimated 46% private school supplement (Maryland has 46 private school HS enrolments per 100 public — 5th highest in the US, per NCES 2023). Private school figures are estimates; county-level private enrolment data is not published by MSDE.
21,185
high school students graduate each year across selected counties
Step 2 — Subject interest: three lenses on the technically capable pool
No single data source cleanly identifies students with builder instinct. These three approaches each use the lower bound of their respective estimates to give a conservative view of the technically capable pool.
CTE subject participation
Upper bound — broadest proxy
~24% of graduates
Maryland statewide CTE participant data. IT cluster accounts for 23.5% of all secondary students. A student who took one IT elective counts the same as someone who has been building for years — so this significantly overcounts genuine interest. Treat as a ceiling.
Source: MD 2023-24 Secondary CTE Participants · IT = 23.5% of all students
Computer science course enrolment
National lower bound figure
~6.4% of graduates
Nationally, 6.4% of high school students take a foundational CS course (Code.org 2024). Maryland is likely above this — the state mandated all high schools offer CS — but 6.4% is the conservative floor. Does not capture self-taught builders who never enrolled in a formal CS class.
Source: Code.org State of CS Education 2024 · National figure used as lower bound
College major intention
Students heading into FIT-adjacent subjects
~10% of graduates
62% of graduates go to college. Of those, ~25% choose CS, engineering, maths, or business (NCES 2023). Using the lower bound — CS, engineering, and maths only, excluding business — gives roughly 16% of college-goers, or ~10% of all graduates who would traditionally study technically adjacent subjects.
Source: NCES Condition of Education 2023 · CS ~5%, engineering ~6%, maths ~3% of bachelor's degrees
Technically capable pool
~2,100
10% of 21,185 graduates · range 5–15%
Three lenses converge on a 6–10% range using conservative estimates. The 5–15% range accounts for county variation — 5% Baltimore City, up to 15% Howard County. This measures technical capability, not likelihood of choosing FIT.
Step 3 — Realistic applications: filters that shape the consideration pool
Of the technically capable pool (~2,100), several filters reduce who would genuinely consider FIT. Each removes a share of the pool — what remains is the realistic consideration set.
Filters that remove students from the pool
Wants a campus experience
Large
The biggest single filter. Many students — and their parents — associate higher education with social development, sports, dorms, and community. FIT doesn’t offer this and doesn’t pretend to.
Wants a specific traditional degree
Large
Students set on mechanical engineering, medicine, architecture, or law — fields with licensure requirements or narrow pipelines — will correctly identify FIT’s SE and DS majors as not the right fit.
Prestigious alternatives
Moderate
High-capability students who get into Ivies, MIT, Stanford, or strong LACs have a compelling alternative with strong social proof. Particularly relevant in Howard County where academic performance is high.
Trust and unfamiliarity
Moderate
A new institution with no alumni network and no track record. Even students who like the idea will hesitate without social proof. This filter shrinks significantly by Year 3 as graduate outcomes become visible.
Family expectation
Moderate
Particularly strong in first-generation families where a traditional degree carries significant social meaning. Even a motivated student may not be able to choose FIT without parental support.
Awareness
Year 1 constraint
A student can’t choose FIT if they’ve never heard of it. In Year 1, targeted school outreach reaches an estimated 30% of the consideration pool. This grows every year as brand builds.
After all filters
~10%
of technically capable pool
Realistic applications
~210
students per year
Upper limit: ~2,100 technically capable students
All rates are working assumptions — not published data. Consideration rate will grow as trust, brand recognition, and graduate outcomes accumulate.