Retraining Cost by Field: Bootcamp vs Degree vs Self

A coding bootcamp averages about $14,000. A master’s degree averages $22,430 a year in tuition and fees. Teaching yourself costs the price of a few subscriptions. Three paths into the same destination — a software developer role paying a median of $133,080 — and the tuition spread runs from near-zero to north of $45,000.

That spread is the easy part. The number that actually determines whether a career change financial plan works for a high earner is not tuition. It is the income valley — the months spent earning nothing or far less while retraining and job-hunting. For someone walking away from a $150k+ salary, that forgone income dwarfs every tuition figure on the page. A $14,000 bootcamp paired with a nine-month gap at a $9,000 prior monthly net wage carries a real transition cost closer to $95,000.

The three paths, by the numbers

Strip the marketing and each path reduces to a tuition figure, a time commitment, and an expected starting wage. Here is the summary block before the breakdown.

Sources: Course Report, 2026 (bootcamp tuition and starting salary); NCES PowerStats, 2024 dollars (graduate tuition); BLS Occupational Employment and Wage Statistics, May 2024 (software developer median wage). Self-taught cost is author estimate based on subscription and materials pricing.

Two things jump out. The starting-wage gap between a bootcamp grad and the occupation median is roughly $64,000 — but that median reflects all developers, including those with a decade of experience, so it is the ceiling a retrainer climbs toward, not the entry point. And the master’s figure is per year; a two-year program doubles it before living costs.

Retraining cost, isolated from everything else

Tuition alone tells a clean story. Course Report puts the average full-time coding bootcamp at $13,584, with programs ranging from $7,800 to $21,000. The widely cited round number is ~$14,000. That buys roughly 12 to 28 weeks of instruction.

Graduate degrees sit an order of magnitude higher once you account for duration. NCES PowerStats data, expressed in 2024 dollars, puts average graduate tuition and fees at $22,430 per year. For the 2024–25 year specifically, NCES reports averages of $12,116 at public institutions and $21,110 at private ones. A two-year master’s in computer science at a private school therefore clears $40,000 in tuition before a single living expense — and most career-changers into a CS master’s also pay for prerequisite coursework they skipped as undergraduates.

Self-teaching is the outlier. The direct cost is a rounding error: a few hundred dollars in course subscriptions, a cloud-computing bill, maybe a certification exam fee. The expense is entirely time and risk, which the tuition column cannot capture.

Sources: Course Report, 2026 (bootcamp); NCES, 2024–25 public/private tuition averages (master’s, two-year); author estimate (self-taught and ancillary costs). Master’s range reflects public-to-private spread.

Where the real money goes: the income valley

For a household built on a $150k+ salary, the tuition table above is almost a distraction. Run the income valley math and the rankings reshuffle.

Assume a prior salary of $160,000, roughly $9,300 a month net after taxes and standard deductions in a mid-tax state. Every month spent not earning that is $9,300 of bridge income consumed. The CIRR audited data shows 71% of bootcamp graduates land an in-field role within 180 days; Course Report’s 2025 survey reports 79% employed within one to six months. Call it a six-month total runway for a bootcamp path — three to four months of instruction plus a two-to-three-month search.

That runway, not the $14,000 sticker, is the dominant cost.

Income valley = months out of work × $9,300 monthly net. Bootcamp duration from CIRR / Course Report 2025 placement timing. Master’s full-time assumes no income for 24 months; part-time assumes employment retained. Self-taught assumes a 12-month median search-and-learn window. Figures are illustrative of the methodology, not predictions.

The full-time master’s path is financially brutal for a high earner precisely because it asks you to surrender two years of a six-figure salary on top of tuition. The part-time master’s — done while keeping the day job — is the only version that makes arithmetic sense at this income level, and it trades money for years of evenings.

Finluxy Career Change Break-Even

The Finluxy Career Change Break-Even measures the years in the new career until cumulative income differential offsets total transition cost. For tech retraining the wrinkle is that the new role usually starts below the old salary, then climbs. A bootcamp grad starting at $69,000 who left a $160,000 job is not gaining income — they are sacrificing it on day one.

This is the finding most bootcamp coverage buries: for a $150k+ earner, the entry-level tech wage is an income sacrifice, not a raise. The break-even only arrives if and when developer earnings climb past the abandoned salary. Using the BLS median of $133,080, even a successful retrainer who reaches the occupation median is still earning below a prior $160k — the math closes only for those who reach the upper quartile (BLS puts the top 10% of developers above $211,450).

Break-even modeled as years until cumulative developer earnings exceed the counterfactual $160k salary path plus transition cost. Wage progression assumed from BLS percentile distribution (May 2024): 25th–90th percentile spread of $79,850 to $211,450. Ranges reflect that recoupment depends entirely on wage trajectory, which BLS does not project for individuals. Model-specific progression data was unavailable; figures are scenario estimates.

The counterintuitive result: self-teaching, the cheapest path on paper, can produce the worst break-even because its longer and less certain runway extends the income valley. Near-zero tuition does not offset a year of surrendered six-figure salary. The path with the lowest sticker price is rarely the path with the lowest total cost — a pattern that holds across the broader lateral move versus industry change comparison.

What the data shows that most coverage misses

Bootcamp marketing leans on the placement rate — 71% in-field within six months — as the headline reassurance. But for a high earner the placement rate is the wrong number to fixate on. The decisive variable is starting-salary compression against the prior wage.

A graduate leaving a $55,000 administrative job for a $69,000 developer role gets an immediate raise; their break-even is instant. A $160,000 earner making the identical move into the identical role takes a $91,000 annual pay cut and may not climb back for the better part of a decade. Same bootcamp, same placement statistics, radically different financial outcome. The CIRR salary median of roughly $66,000 is a triumph for one of these people and a catastrophe for the other. This is the same dynamic that defines the attorney-to-tech income valley, where the prior wage is so high that no entry-level tech salary can close the gap quickly.

Aggregate placement and salary data, by construction, average across both populations. None of the headline figures are wrong — they are just answering a question a $150k+ earner is not asking.

The duration variable nobody prices correctly

Across all three paths, the single largest lever on total cost is how long the income valley lasts. Cut a bootcamp search from six months to three and you save roughly $28,000 in bridge income — twice the tuition. Stretch a self-taught path from twelve months to eighteen and you add $56,000 in forgone salary, swamping the tuition savings that made self-teaching attractive.

This is why the income valley duration matters more than program selection. The choice between a $9,000 bootcamp and a $20,000 one is a $11,000 decision. The choice between a six-month and twelve-month transition is a $56,000 decision. High earners routinely over-optimize the first and ignore the second.

Keeping the day job — the part-time master’s or the evenings-and-weekends self-taught route — is the only structural way to eliminate the income valley entirely. It substitutes calendar time and burnout risk for cash, which for a household with strong income and finite savings is often the correct trade. The same logic underpins the career change at 40 financial risk calculus, where fewer working years remain to recoup a long valley.

Practical context for the $150k+ household

At this income level the binding constraint is rarely tuition affordability; it is whether liquid savings can absorb the income valley without forcing a sale of invested assets. The cluster rule is simple: liquid savings minus total transition cost must stay above zero. A bootcamp path demanding ~$70,000 of runway is survivable for a household with a year of expenses banked. A full-time master’s demanding ~$267,000 is not, unless you are prepared to liquidate a brokerage account and eat the capital-gains and lost-compounding cost on top.

The decision therefore is less bootcamp-versus-degree-versus-self-taught and more keep-the-paycheck-versus-don’t. For most $150k+ earners the defensible structure is the part-time or employer-sponsored route: it caps the income sacrifice at the wage differential rather than the entire salary, and it preserves the option to abandon the transition if the new field disappoints before you have torched two years of earnings. The clean break — quit, retrain full-time, job-hunt — is the version that looks fastest and costs the most, because every month of that speed is billed at your old six-figure rate. Whether the eventual developer wage justifies any of it depends on a single uncertain input no dataset can hand you: how high you climb, and how fast. Model that progression honestly before committing, because the break-even lives entirely inside it.