Written By Liz Eggleston
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Course Report is excited to present the results of our latest and most comprehensive survey of graduates in the coding bootcamp space. We surveyed graduates from 52 qualifying coding schools and received 1,143 qualified graduate responses.
The majority of graduates of coding bootcamps are finding full-time employment, and 73% of graduates surveyed report being employed in a full-time job requiring the skills learned at bootcamp, with an average salary increase of 64% or $26,021. This year's Student Outcomes & Demographics Study dives into bootcamp graduate success, analyzing not only demographics and outcomes, but also how previous experience, income, location, and other factors impact a student's average salary and ability to get a developer job.
Thanks so much to the schools who participated in this study and helped distribute it to their alumni networks!
In our third annual graduate survey, and the most complete cross-school study of its kind in the coding bootcamp industry, we found strong evidence of salary growth, with respondents reporting a $26,021 average increase in their first job after attending a coding bootcamp.
Change in Avg Salary | Before | After |
---|---|---|
All Respondents | $40,866 | $66,887 |
Employed Full-Time | $49,562 | $68,609 |
Change in Median Salary | Before | After |
---|---|---|
All Respondents | $40,000 | $65,000 |
Employed Full-Time | $44,000 | $65,000 |
In addition, bootcamp attendees are more likely to be working full-time after graduation.
Change in Employment | Before | After |
---|---|---|
Employed Full-Time | 53.9% | 68.1% |
Employed Part-Time | 7.9% | 3.2% |
Employed Freelance | 6.4% | 6.8% |
Self-Employed | 5.9% | 3.1% |
Student | 8.5% | 3.4% |
Unemployed | 17.4% | 15.4% |
As students continue their job search after graduation, job placement trends upwards. 89% of job-seeking respondents who took the survey 120+ days after graduation were placed.
28.5% | 52.3% | 66.0% | 75.2% | 89.3% | ||||
---|---|---|---|---|---|---|---|---|
placed | placed | placed | placed | placed | ||||
30 DAYS | 60 DAYS | 90 DAYS | 120 DAYS | 120+ DAYS |
Respondents self-reported demographic information such as age, gender, and race. The student profile is summarized below in Table 1.
Age | Mean | Standard Error |
---|---|---|
Mean Age | 30.41 | 0.33 |
Gender | % | Standard Error |
Female | 43.3% | 3.5% |
Male | 55.0% | 3.5% |
Non-Binary | 1.7% | 0.5% |
Ethnicity | % | Standard Error |
American Indian | 0.1% | 0.07% |
Asian American | 12.0% | 1.4% |
Black | 5.4% | 0.8% |
Other | 12.6% | 3.4% |
White | 69.9% | 3.6% |
Hispanic Origin | % | Standard Error |
Yes | 12.7% | 1.2% |
No | 87.3% | 1.2% |
Citizenship | % | Standard Error |
Yes, born in the US | 78.7% | 1.6% |
Yes, naturalized. | 5.8% | 0.9% |
No | 15.5% | 1.4% |
Education | % | Standard Error |
Some high school | 0.2% | 0.01% |
High school degree | 2.6% | 3.1% |
Some college | 15.4% | 1.6% |
Associate's degree | 5.4% | 0.6% |
Bachelor's degree | 60.8% | 3.6% |
Master's degree | 13.8% | 1.3% |
Professional degree | 0.9% | 0.4% |
Doctorate degree | 0.9% | 0.3% |
Many coding bootcamps offer scholarships for women, so we compare our findings on gender enrollment to the 2015 Taulbee Survey, an annual survey of computer science programs at accredited universities. The Taulbee study estimated that 15.7% of 2015 bachelor degrees were awarded to females. Our study suggests that bootcamps (43.3% female) compare favorably to traditional computer science departments (as well as masters programs) on gender diversity.
Majority of bootcampers attended their courses in San Francisco, while California was the state that had the highest amount of bootcamp graduates.
City | Sample Size | % |
---|---|---|
San Francisco | 185 | 17.52% |
New York | 147 | 13.92% |
Denver | 114 | 10.80% |
Toronto | 64 | 6.06% |
Bloomington | 55 | 5.21% |
Akron | 54 | 5.11% |
Los Angeles | 41 | 3.88% |
Washington | 37 | 3.50% |
Seattle | 36 | 3.41% |
Provo | 32 | 3.03% |
Culver City | 31 | 2.94% |
Miami | 29 | 2.75% |
Chicago | 28 | 2.65% |
Minneapolis | 26 | 2.46% |
Detroit | 22 | 2.08% |
Boston | 18 | 1.70% |
Atlanta | 15 | 1.42% |
Austin | 15 | 1.42% |
Portland | 14 | 1.33% |
State | Sample Size | % |
---|---|---|
California | 310 | 28.00% |
New York | 147 | 13.28% |
Colorado | 126 | 11.38% |
Minnesota | 84 | 7.59% |
Ontario | 64 | 5.78% |
Ohio | 55 | 4.97% |
Utah | 42 | 3.79% |
Washington | 42 | 3.79% |
Florida | 40 | 3.61% |
District of Cloumbia | 37 | 3.34% |
Illinois | 28 | 2.53% |
Michigan | 22 | 1.99% |
Massachussetts | 18 | 1.63% |
British Coloumbia | 14 | 1.26% |
Georgia | 14 | 1.26% |
Oregon | 14 | 1.26% |
Texas | 14 | 1.26% |
United Kingdom | 13 | 1.17% |
Australia | 12 | 1.08% |
Kentucky | 11 | 0.99% |
Most respondents were not employed as software developers prior to attending bootcamp, with an estimated 10.9% reporting some programming at work, and only 1.4% programming full-time prior to enrolling.
Programming Background | % | Standard Error |
---|---|---|
Full-time at work | 1.4% | 0.5% |
Some at work | 10.9% | 1.0% |
Some in my free time | 47.3% | 1.8% |
None | 40.4% | 1.7% |
The average previous work experience among students is ~7 years, although 17.4% report being unemployed prior to bootcamp enrollment, as shown in Table 4a.
Work Experience | Mean | Standard Error |
---|---|---|
Years | 6.8 | 0.20 |
Salary | Mean (USD) | Standard Error |
All respondents | $40,866* | $1,217 |
Those working full-time | $49,562** | $1,311 |
Pre-Camp Employment Status | % | Standard Error |
Employed full-time | 53.9% | 1.8% |
Employed part-time | 7.9% | 1.1% |
Employed freelance | 6.4% | 0.8% |
Self-employed | 5.9% | 1.1% |
Student | 8.5% | 1.0% |
Unemployed | 17.4% | 1.6% |
The majority of bootcampers had an income level between $25k-$50k before attending bootcamp, as seen in Table 4b.
Prior Income Level | % | Standard Error |
---|---|---|
<$25,000 | 26.6% | 3.5% |
$25,000 - $50,000 | 47.7% | 3.6% |
$50,000 - $75,000 | 17.0% | 1.4% |
>$75,000 | 8.7% | 1.0% |
The most popular industries that Bootcampers were in before attending bootcamp, as seen in Table 5, included Hospitality/ Retail/ Tourism, IT/Web Development/Design, and Consulting (Business, Management, etc).
Industry | Sample Size |
---|---|
Hospitality/ Retail/ Tourism | 153 |
IT/Web Development/Design | 151 |
Consulting (Business, Management, etc.) | 134 |
Education | 132 |
Government / Non-Profit/ Human Services | 79 |
Marketing/Advertising/Journalism/Media | 79 |
Fashion/Entertainment/Music | 75 |
Finance/Accounting | 71 |
Health Care | 52 |
Manufacturing | 30 |
Construction | 24 |
Real Estate | 21 |
Fashion/Entertainment/Music | 1 |
Most graduates report applying to a coding bootcamp in order to gain a job as a programmer (89%), and 4% report attending in order to start their own company. Less than 1% report attending bootcamp to get a promotion or change jobs with their current employer. On average, bootcampers apply to 1.4 schools and are accepted to 1.3 schools.
Number of Applications | Mean | Standard Error |
---|---|---|
Number of schools applied | 1.41 | 0.04 |
Number of acceptance | 1.30 | 0.03 |
Reason for Attending a Bootcamp | % | Standard Error |
Getting a programming job | 89.3% | 0.9% |
Starting a company | 4.3% | 0.6% |
Getting a non-technical job | 2.7% | 0.7% |
Freelancing/contracting | 2.0% | 0.3% |
Building on Existing Skills | 1.0% | 0.3% |
Getting a promotion | 0.7% | 0.2% |
Finally, the most important factor to a future bootcamper when deciding between bootcamps are Job Placement Outcomes. Average ratings (Table 7) give some idea about the importance of factors. Job Placement Outcomes are the most important factor, then Quality of Instruction. Teaching Language and Location have about the same importance, followed by Tuition; Scholarships and Quality of Facilities are the least important factors.
Factors | Average Rating |
---|---|
Job Placement Outcomes | 2.35 |
Quality of Instruction | 2.65 |
Teaching Language | 3.81 |
Location | 3.98 |
Tuition | 4.30 |
Quality of Facilities | 5.11 |
Scholarship | 5.80 |
Average tuition for a coding bootcamp is $11,792, with most students paying for school themselves or with the help of family and external loans (Table 8). Some schools offer tuition reimbursement for students who receive job placement through the school, but only 5% of students report receiving such reimbursements.
Tuition | Mean | Standard Error |
---|---|---|
Tuition | $11,792 | $127 |
Source of Funding | % | Standard Error |
Self | 44.1% | 1.7% |
Family | 19.8% | 1.4% |
External Loan | 15.8% | 1.2% |
School (Scholarship) | 12.6% | 0.7% |
Employer subsidized | 2.3% | 0.2% |
School Financing | 5.4% | 0.6% |
Tuition Refund for Job Placement | % | Standard Error |
Yes* | 5.1% | 0.17% |
No | 94.9% | 0.17% |
The most popular lending partners are Earnest and Climb Credit (Table 9). For 217 students who used External Loans, an average of 85.8% of the tuition cost was covered by a lending partner. The distribution of lending partners is shown below for those 217 students who used External Loans. Notice in Table 10 that the use of external lending partners has increased from 8.1% in 2014 to 17% in 2016.
Lending Partner | % | Lending Partner | % |
---|---|---|---|
Earnest | 23.04% | Bank Loan | 3.23% |
Climb Credit | 23.04% | Credit Card | 1.84% |
Affirm | 10.14% | Lendkey | 0.92% |
Other | 7.83% | WeFinance | 0.46% |
Pave | 6.45% | Quotanda | 0.46% |
Upstart | 5.99% | Prosper | 0.46% |
Skillsfund | 5.99% | LendingTree | 0.46% |
Lendlayer (now Affirm) | 5.53% | Avant | 0.46% |
Credit Union | 3.69% |
Type of Funding By Year | 2014 | 2015 | 2016 |
---|---|---|---|
Self | 51.4 % | 49.5 % | 39.0 % |
Family | 25.1 % | 20.1 % | 18.4 % |
External Loan | 8.1 % | 17.6 % | 17.0 % |
School (Scholarship) | 6.4 % | 5.6 % | 17.6 % |
Employer | 0.0 % | 2.4 % | 2.4 % |
School Financing | 9.0 % | 4.8 % | 5.6 % |
Overall, 73% of graduates report being employed full-time in a job requiring the skills learned at bootcamp. Among those, most (68%) are in salaried, full-time position, with others reporting working as an independent contractor or running their own business. Both these statistics have increased since our 2015 Outcomes & Demographics Report, when 66% of graduates reported using skills learned at bootcamp and 62% employed full-time post bootcamp.
Post Camp Employment Status | % | Standard Error |
---|---|---|
Employed full-time | 68.1% | 3.6% |
Employed part-time | 3.2% | 0.6% |
Employed freelance | 6.8% | 3.2% |
Self-Employed | 3.1% | 0.5% |
Student | 3.4% | 0.3% |
Unemployed | 15.4% | 1.6% |
Employed Using Learned Skills | % | Standard Error |
Yes | 73.0% | 1.8% |
No | 27.0% | 1.8% |
Salary | (USD) | Standard Error |
All Respondents | $64,887 | $1,103 |
Employed Full-Time | $68,609 | $926 |
As students continue their job search after graduation, job placement trends upwards, with 75% of job-seeking graduates being placed within 120 days of graduation and 44% finding a job in less than a month.
28.5% | 52.3% | 66.0% | 75.2% | 89.3% | ||||
---|---|---|---|---|---|---|---|---|
placed | placed | placed | placed | placed | ||||
30 DAYS | 60 DAYS | 90 DAYS | 120 DAYS | 120+ DAYS |
Job Search Length | % | Standard Error |
---|---|---|
< 1 month | 44.3% | 3.4% |
1-3 months | 28.9% | 3.6% |
3-6 months | 8.5% | 3.4% |
> 6 months | 2.6% | 0.7% |
Still unemployed | 15.7% | 1.4% |
Many schools offer services to help prepare students for the job market. Almost all students report receiving some form of assistance: resume prep, apprenticeship, on-site interviews, and more.
Resume Preparation Assistance | % | Standard Error |
---|---|---|
Yes | 97.5% | 0.5% |
No | 2.5% | 0.5% |
Apprenticeship/Internship Placement | % | Standard Error |
Yes | 53.4% | 1.6% |
No | 46.6% | 1.6% |
Career Day/Networking/Interviews | % | Standard Error |
Yes | 95.7% | 1.1% |
No | 4.3% | 1.1% |
Job Guarantee | % | Standard Error |
Yes | 26.6% | 1.1% |
No | 73.4% | 1.1% |
Most coding bootcamp graduates (57%) have one job after graduating. 56.7% still work at the first job they got after graduation. For students who have had more than one job after graduation, the average length they spend in their first job was about 8 months ranging from 1 month to 26 months. As bootcamp graduates accept second and third jobs, their average salaries also jump (Table 15).
Number of Post-Graduation Jobs | % | Standard Error |
---|---|---|
0 | 26.7% | 1.7% |
1 | 56.7% | 1.7% |
2 | 13.4% | 1.4% |
3 | 3.2% | 1.1% |
Avg Salary Change | USD | Standard Error |
---|---|---|
From 1st job to 2nd job | $5,910 | $1,383 |
From 2nd job to 3rd job | $18,719 | $1,128 |
From 1st job to 3rd job | $21,956 | $2,445 |
Job Title | Count |
---|---|
Software Engineer | 185 |
Software Developer | 84 |
Web Developer | 76 |
Front-End Developer | 73 |
Developer | 36 |
Application Developer | 15 |
Junior Developer | 13 |
Associate Software Engineer | 9 |
Teaching Assistant | 9 |
Junior Software Engineer | 8 |
Graduates report an average satisfaction rating of 8.83/10 and would recommend their coding bootcamp to a friend 8.84 times out of 10.
Overall Program Satisfaction | Standard Error | |
---|---|---|
Satisfaction (1-10) | 8.83 | 0.09 |
Recommended (1-10) | 8.84 | 0.10 |
This year's survey garnered increased participation, so we were able to analyze post-bootcamp success by a number of factors, including location, race, gender, educational attainment, and more. The following tables dig deep into analyzing the types of students who see the most success after graduating from a coding bootcamp.
The average bootcamper reported a $26K lift in salary after graduating from a bootcamp. Do low-income students experience the same increase in salary as middle and high income students? We find that low-income students see a lower average post-bootcamp salary than middle and high-income students, but a high lift in salary after graduation (~$39K lift). Pre-bootcamp income seems not to have a significant impact on ability to land a job as a developer after graduation.
Post-graduation Salary | Mean (USD) | Standard Error |
---|---|---|
Prior income ≤ $30,000 | $57,769 | $1,188 |
$30,000 < Prior income ≤ $50,000 | $66,640 | $788 |
Prior income > $50,000 | $80,286 | $1,370 |
Change in Salary after Graduation | Mean (USD) | Standard Error |
Prior income ≤ $30,000 | $39,190 | $1,332 |
$30,000 < Prior income ≤ $50,000 | $25,900 | $802 |
Prior income > $50,000 | $2,347 | $1,633 |
Employed full-time in job requiring bootcamp skills | % | Standard Error |
Prior income ≤ $30,000 | 72.9% | 1.8% |
$30,000 < Prior income ≤ $50,000 | 73.2% | 1.9% |
Prior income > $50,000 | 73.6% | 1.7% |
The average bootcamp graduate reported a post-bootcamp salary of $66,887. However, there is a strong relationship between pre-bootcamp educational attainment and post-bootcamp salary. Students with a Master's degree reported the highest average salary of $75,806.
Bootcampers with an Associate's Degree are most likely to be employed in a full-time job requiring skills learned at bootcamp (~84% reported being employed). Students with a High School Degree experienced the highest lift in salary after graduating from a bootcamp- $33,300. Our report reveals that bootcamp graduates with only a high school degree or "some college" saw very positive outcomes (Table 19).
Post-graduation Salary | Mean (USD) | Standard Error |
---|---|---|
High school | $58,621 | $1,099 |
Some college | $58,890 | $973 |
Associate's degree | $58,396 | $1,246 |
Bachelor's degree | $66,310 | $1,034 |
Master's degree | $75,806 | $1,933 |
Change in Salary after Graduation | Mean (USD) | Standard Error |
High school | $33,300 | $1,089 |
Some college | $26,623 | $1,274 |
Associate's degree | $23,774 | $1,576 |
Bachelor's degree | $24,216 | $1,386 |
Master's degree | $18,393 | $2,278 |
Employed full-time in job requiring bootcamp skills | % | Standard Error |
High school | 74.0% | 3.2% |
Some college | 69.6% | 1.7% |
Associate's degree | 83.9% | 0.9% |
Bachelor's degree | 74.4% | 1.6% |
Master's degree | 67.7% | 2.1% |
*Doctorate degrees accounted for ~1% of respondents.
As expected, students who had more experience in programming before attending a coding bootcamp tend to have higher average salaries and are more likely to be employed in a programming job after graduating. Bootcampers who reported that they worked in a full-time programming position before attending a bootcamp experienced the highest average salary lift (Table 20).
Post-graduation Salary | Mean (USD) | Standard Error |
---|---|---|
None | $62,027 | $1,103 |
Some programming in my free time | $67,129 | $1,171 |
Some programming at work | $73,101 | $1,576 |
Full-time programming at work | $76,513 | $1,173 |
Change in Salary after Graduation | Mean (USD) | Standard Error |
None | $23,801 | $1,117 |
Some programming in my free time | $23,019 | $1,669 |
Some programming at work | $23,237 | $1,693 |
Full-time programming at work | $35,595 | $904 |
Employed full-time in job requiring bootcamp skills | % | Standard Error |
None | 68.5% | 1.8% |
Some programming in my free time | 76.8% | 1.8% |
Some programming at work | 73.5% | 1.9% |
Full-time programming at work | 92.5% | 3.4% |
Table 21 shows that Tech, Software and E-commerce, are the most popular industries that bootcampers join after graduation.
Industry | Sample Size |
---|---|
Tech | 125 |
Software | 72 |
E-commerce | 38 |
Healthcare | 36 |
Education | 34 |
Web Development | 33 |
IT | 25 |
Software Development | 25 |
Advertising | 23 |
Digital | 22 |
Marketing | 21 |
Retail | 18 |
Finance | 17 |
Media | 16 |
Insurance | 15 |
Consultancy | 14 |
Finance Tech | 14 |
Education Tech | 12 |
Real Estate | 11 |
Web | 11 |
Coding bootcampers who identify as Black have a higher average salary after graduating from a coding bootcamp. Memo: American Indian was not included in Table 22a as there was only one case.
Post Graduation Salary | Mean (USD) | Standard Error |
---|---|---|
Asian American/ Pacific Islander | $68,998 | $1,266 |
Black | $70,078 | $751 |
Other | $64,110 | $988 |
White | $66,663 | $1,313 |
Change in Salary after Graduation | Mean (USD) | Standard Error |
Asian American/ Pacific Islander | $25,976 | $1,265 |
Black | $38,462 | $940 |
Other | $23,581 | $1,019 |
White | $24,015 | $1,699 |
Employed Full-Time in Job requiring Bootcamp Skills | % | Standard Error |
Asian American/ Pacific Islander | 79.3% | 1.8% |
Black | 36.0% | 1.5% |
Other | 64.4% | 1.4% |
White | 76.9% | 1.6% |
Post Graduation Salary | Mean (USD) | Standard Error |
---|---|---|
Hispanic Origin- Yes | $64,459 | $1,197 |
Hispanic Origin- No | $66,739 | $1,187 |
Change in Salary after Graduation | Mean (USD) | Standard Error |
Hispanic Origin- Yes | $21,575 | $1,410 |
Hispanic Origin- No | $24,919 | $1,501 |
Employed Full-Time in Job requiring Bootcamp Skills | % | Standard Error |
Hispanic Origin- Yes | 67.2% | 1.6% |
Hispanic Origin- No | 74.1% | 1.6% |
Women make up 43.3% of the coding bootcamp industry; Women also reported a higher average salary after graduating from a coding bootcamp. Men are more likely to be employed in a full-time job requiring skills learned at the bootcamp. Memo: "Non-binary" was not included in Table 23 as there were only 18 cases.
Post-graduation Salary | Salary (USD) | Standard Error |
---|---|---|
Male | $65,945 | $1,348 |
Female | $67,279 | $798 |
Change in Salary After Graduation | Mean (USD) | Standard Error |
Male | $24,966 | $1,504 |
Female | $23,174 | $1,037 |
Employed full-time in job requiring bootcamp skills | % | Standard Error |
Male | 76.9% | 1.8% |
Female | 70.9% | 1.8% |
While JavaScript has been gaining popularity in coding bootcamps since 2014, graduates who learned Python report the highest salary after graduation and the most drastic change in salary after graduation (Table 24). Graduates who reported learning PHP are most likely to be employed full-time in a job requiring skills learned at the boocamp(87%).
Post-Graduation Salary | Mean (USD) | Standard Error |
---|---|---|
C# | $61,479 | $747 |
Objective-C | $46,667 | $1,990 |
Java | $69,677 | $844 |
JavaScript | $67,007 | $1,089 |
PHP | $52.134 | $2,548 |
Python | $90,773 | $1,608 |
Ruby | $66,263 | $1,467 |
Change in Salary After Graduation | % | Standard Error |
C# | $21,294 | $1,826 |
Objective-C | $12,000 | $570 |
Java | $28,640 | $563 |
JavaScript | $24,313 | $1,842 |
PHP | $21,063 | $3,507 |
Python | $37,593 | $1,177 |
Ruby | $23,336 | $1,829 |
Employed full-time in job requiring bootcamp skills | % | Standard Error |
C# | 60.1% | 2.5% |
Objective-C | 50.0% | 10.9% |
Java | 53.4% | 3.2% |
JavaScript | 76.5% | 1.8% |
PHP | 87.1% | 7.6% |
Python | 76.4% | 2.6% |
Ruby | 73.6% | 2.2% |
Cities with the highest average salaries remain the large tech hubs with plenty of developer jobs: San Francisco, Oakland, Seattle, New York City, and Denver were among the cities with highest mean and median salaries (Table 25a). States like California, Washington, Texas, New York, and Colorado were among the states with highest mean and median salaries. Note: Only cities with five or more cases were included in Table 25a and only states with 5 or more cases were included in Table 25b.
City | Sample Size | Mean Salary | Minimum | Maximum |
---|---|---|---|---|
San Francisco | 50 | $101,779 | $33,392 | $175,000 |
Oakland | 13 | $101,731 | $65,000 | $200,000 |
Seattle | 14 | $79,286 | $42,000 | $125,000 |
New York | 36 | $69,922 | $12,000 | $125,000 |
Denver | 38 | $68,194 | $24,000 | $112,000 |
Los Angeles | 29 | $67,459 | $12,000 | $112,000 |
Minneapolis | 27 | $56,789 | $31,200 | $95,000 |
Cleveland | 10 | $55,200 | $50,000 | $60,000 |
Chicago | 11 | $52,597 | $14,000 | $90,000 |
Toronto | 31 | $50,278 | $27,000 | $115,000 |
State | Sample Size | Mean Salary | Minimum | Maximum |
---|---|---|---|---|
California | 148 | $87,862 | $12,000 | $200,000 |
Washington | 21 | $77,238 | $42,000 | $125,000 |
Texas | 13 | $72,701 | $31,200 | $100,000 |
New York | 51 | $71,680 | $12,000 | $125,000 |
Colorado | 52 | $68,565 | $24,000 | $112,000 |
Massachussetts | 16 | $66,709 | $25,000 | $120,000 |
Minnesota | 52 | $56,094 | $13,920 | $95,000 |
Illinois | 14 | $53,624 | $14,000 | $90,000 |
Utah | 18 | $53,574 | $10,000 | $100,000 |
Ohio | 33 | $52,243 | $21,000 | $65,000 |
British Columbia | 46 | $51,688 | $26,000 | $208,000 |
Florida | 14 | $47,199 | $31,000 | $60,000 |
Does a students' academic background affect their success after a coding bootcamp? For respondents who reported earning Bachelor's Degrees, the highest salaried students studied Law, Anthropology/History, IT, English, Physical Sciences and Mathematics. Law majors saw the most drastic change in salary, and Graphic Design majors were most likely (99% in fact) to be employed after graduation, in a full-time role requiring skills learned at the bootcamp.
Undergraduate Major | Sample Size | Mean | Median | Salary Change | Employed in a job requiring bootcamp skills |
---|---|---|---|---|---|
Law | 7 | $118,500 | $110,000 | $67,300 | 57.00% |
Anthropology/History | 16 | $104,059 | $72,000 | $65,353 | 76.00% |
IT | 12 | $94,650 | $90,000 | $21,894 | 45.50% |
Physical Sciences | 24 | $89,996 | $77,000 | $37,933 | 76.40% |
Mathematics | 24 | $89,420 | $80,000 | $42,586 | 86.80% |
Philosophy | 20 | $83,347 | $72,500 | $38,208 | 70.00% |
Economics | 39 | $82,413 | $78,000 | $28,786 | 89.80% |
Health | 16 | $78,534 | $90,000 | $37,114 | 72.60% |
Engineering | 52 | $77,725 | $70,000 | $19,143 | 93.50% |
Education | 33 | $77,001 | $65,000 | $26,248 | 45.00% |
Foreign Language | 18 | $75,672 | $57,500 | $33,328 | 98.20% |
Business | 91 | $70,675 | $65,000 | $13,665 | 73.30% |
Life Sciences | 37 | $70,513 | $65,000 | $39,365 | 57.10% |
Literature/Writing | 38 | $66,642 | $66,000 | $24,597 | 89.50% |
Psychology | 48 | $64,860 | $62,400 | $22,632 | 85.60% |
Other (please specify) | 185 | $63,358 | $60,000 | $18,499 | 68.00% |
Music | 17 | $59,934 | $60,000 | $24,026 | 77.00% |
Communications/Journalism | 59 | $59,858 | $60,759 | $21,721 | 62.50% |
Art | 42 | $53,907 | $58,000 | $23,674 | 95.80% |
Computer Science | 25 | $49,615 | $68,000 | $19,875 | 92.50% |
Graphic Design | 10 | $48,828 | $45,000 | $10,820 | 99.00% |
Average tuition for a coding bootcamp is $11,792, with most students paying for school themselves or with the help of family (Table 27). Some schools offer tuition reimbursement for students who receive job placement through the school, but only 5% of students report receiving such reimbursements.
Tuition | Mean | Standard Error |
---|---|---|
Tuition | $11,792 | $127 |
Source of Funding | % | Standard Error |
Self | 44.1% | 1.7% |
Family | 19.8% | 1.4% |
External Loan | 15.8% | 1.2% |
School (Scholarship) | 12.6% | 0.7% |
Employer | 2.3% | 0.2% |
School Financing | 5.4% | 0.6% |
Tuition Refund for Job Placement | % | Standard Error |
Yes* | 5.1% | 0.17% |
No | 94.9% | 0.17% |
The most popular lending partners are Earnest and Climb Credit (Table 28). For 217 students who used External Loans, an average of 85.8% of the tuition cost was covered by a lending partner. The distribution of lending partners is shown below for those 217 students who used External Loans. Notice in Table 29 that the use of external lending partners has decreased since 2015 (from 25% in 2015 to 16% in 2016). This is likely due to the increase in school scholarship offerings now at 12% as opposed to 4% in 2015.
Lending Partner | % | Lending Partner | % |
---|---|---|---|
Earnest | 23.04% | Bank Loan | 3.23% |
Climb Credit | 23.04% | Credit Card | 1.84% |
Affirm | 10.14% | Lendkey | 0.92% |
Other | 7.83% | WeFinance | 0.46% |
Pave | 6.45% | Quotanda | 0.46% |
Upstart | 5.99% | Prosper | 0.46% |
Skillsfund | 5.99% | LendingTree | 0.46% |
Lendlayer (now Affirm) | 5.53% | Avant | 0.46% |
Credit Union | 3.69% |
Type of Funding By Year | 2014 | 2015 | 2016 | |
---|---|---|---|---|
Self | 51.4% | 49.5% | 39.0% | |
Family | 25.1% | 20.1% | 18.4% | |
External Loan | 8.1% | 17.6% | 17.0% | |
School (Scholarship) | 6.4% | 5.6% | 17.6% | |
Employer | 0.0% | 2.4% | 2.4% | |
School Financing | 9.0% | 4.8% | 5.6% |
Respondents in the 2016 Coding Bootcamp Student Outcomes & Demographics Study graduated from the following 52 bootcamps:
*This bootcamp is no longer operating.
We surveyed graduates from 52 qualifying coding schools, commonly referred to as "bootcamps." We received 1495 responses from graduates, 1143 of which met the criteria described below. The surveys were sent to graduates and all figures are self-reported by the respondents.
Coding 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 degree-granting, (c) provide programming-specific curriculum.
To qualify for inclusion in the survey, individuals must have completed a course offered by a coding bootcamp (as defined above) prior to August 12, 2016.
Participation in the survey was voluntary. An incentive for a $500 Amazon Giftcard was offered for participation.
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 (2015-2016) 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.
Course Report, founded in 2013 by Adam Lovallo and Liz Eggleston, operates https://www.coursereport.com/, which helps potential students find, research, and apply to coding bootcamp programs. Course Report offers a directory of schools, webinars, thousands of reviews, and interviews with teachers, founders, students, and alumni.
Liz Eggleston is co-founder of Course Report, the most complete resource for students choosing a coding bootcamp. Liz has dedicated her career to empowering passionate career changers to break into tech, providing valuable insights and guidance in the rapidly evolving field of tech education. At Course Report, Liz has built a trusted platform that helps thousands of students navigate the complex landscape of coding bootcamps.
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