2014 outcomes report header

2014 Course Report Alumni Outcomes & Demographics Study

CODING BOOTCAMP ALUMNI REPORT A 44% INCREASE IN SALARY.

Liz Eggleston Friday - Aug 01, 2014

We're excited to present the results of our 2014 survey of graduates in the bootcamp space. We surveyed graduates from 48 qualifying programming schools and received 432 responses from graduates that met the criteria.

The majority of graduates of coding bootcamps are finding full-time employment, and 75% of graduates surveyed report being employed in a full-time job requiring the skills learned at bootcamp, with an average salary increase of 44%.

Thanks to Launch Academy for creating the following infographic to further explain these findings:

Thanks so much to the schools who participated in this study and helped distribute it to their alumni networks! Read the full report as a PDF, which includes additional data and details on our methodology.

Key Findings

In our first graduate survey, and the first cross-school study of its kind in the programming bootcamp industry, we find strong evidence of salary growth, with respondents reporting a $25k average increase in their first job after attending a programming bootcamp.

Key Finding 1. Avg Salary Change

Change in Salary Before After Percent
All Respondents $52,809 $75,965 44%
Employed Full-Time $55,837 $80,607 44%

 

In addition, bootcamp attendees are more likely to work full-time after school.

Key Finding 2. Post Bootcamp Employment Status

 Post Camp Employment Status Before After
Employed full-time 48% 63%
Employed part-time 7% 4%
Employed freelance 10% 9%
Self-Employed 8% 6%
Student 7% 1%
Other 17% 2%
Unemployed 2% 14%

The report also finds:

  • 75% report working in a job requiring the skills learned at bootcamp, compared to 5% working as full-time programmers beforehand.
  • The average student paid $10k in tuition.
  • The typical attendee is 29, has 6 years of work experience, and has never worked as a programmer.
  • 38% of bootcamp attendees are female.

Not disclosed in this report. Here is an updated version of the Graduate Outcomes + Demographics Study, which includes participating schools.

We surveyed graduates from 48 qualifying programming schools, commonly referred to as bootcamps. We received 432 responses from graduates that met the criteria described below. The surveys were sent to graduates and all figures are self-reported by the respondents.

Inclusion Criteria

Programming bootcamps: to qualify for inclusion in the survey, a school must (a) offer full-time, in-person instruction of 40 or more hours of classroom time per week, (b) not be associated with an accredited college or university, (c) provide programming-specific curriculum (schools specializing in product development, design, or marketing were excluded), and (d) be based in the United States or Canada. Many schools offer courses at multiple campuses across a wide range of curriculum.

Graduates

To qualify for inclusion in the survey, individuals must have completed a course offered by a programming bootcamp (as defined above) prior to June 1, 2014.

Post-Stratification

Because bootcamps likely varied in the extent to which they distributed and advertised the survey to students, it is unlikely that our raw sample is representative of the overall population of students. To adjust for varying sampling probabilities across schools, we post-stratify the sample on school using the known (2013-2014) bootcamp sizes from a recent Course Report survey. Respondents are weighted such that the in-sample distribution of respondents across camps matches as closely as possible the known distribution of bootcamp sizes. Therefore, our estimates rely on a much weaker assumption than random sampling—we only need to assume that respondents are effectively randomly sampled within school strata.

Missing Data

Some respondents elected not to respond to certain questions (such as salary). Unless this non-response is completely random, dropping these respondents when calculating means would induce bias in the estimates. The current best practice for dealing with missing data is to impute multiple estimates of the missing values using a statistical model and the observed data. We use the multiple imputation algorithm developed in King, Honaker, Joseph and Scheve (2001) and implemented in the Amelia software package for this purpose.

ABOUT COURSE REPORT

Course Report, founded in 2013 by Adam Lovallo and Liz Eggleston, operates https://www.coursereport.com/, which helps potential students find and research coding bootcamp programs. Course Report offers a directory of schools, course schedules, thousands of reviews, and interviews with teachers, founders, students, and alumni.

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