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Data Science Bootcamp: Pay only
after you get a data science job.
With deferred tuition and a job guarantee, investing in yourself is risk-free.
In partnership with
Student rating on
SwitchUp
Structured to fit into your life, guaranteed to get you a job
Learn at your own pace with 1-on-1 mentorship from industry experts and support
from student advisors and career coaches.
Unlimited 1:1 mentor support
Meet weekly with your personal mentor, with as many additional calls as you need.
Hands-on experience
Learn by building 14 real-world projects and developing a data science portfolio.
Career support & job guarantee
Get a data science job within 6 months of graduating or your money back.
How soon will the program pay for itself?
On average, Springboard students' annual salaries increase by $25,700, which means you can cover the cost of the course in 4 months.
Select a city where we offer the job guarantee and your current salary to see how soon your program will pay for itself [based on Glassdoor]
What you'll learn
The curriculum is split into 18 units covering the topics below, with a specialization that aligns with your career goals.
Estimated time: 21+ hours
Python has become a lingua franca of data science. In this unit, you'll learn to program in Python, how to follow best coding practices, and start using an ecosystem of powerful Python-based tools.
Learn how to use Python and its standard libraries
Build visualizations with Matplotlib and Seaborn
Write clear, elegant, readable code in Python using the PEP8 standard
Request a detailed syllabus
Springboard’s learning experience
Learn from the best online resources
We work with hiring managers and experts to curate our curriculum.
Get guidance from your mentor
Your mentor will provide constructive feedback and challenge your thinking.
Learn from your peers
Connect with students and alumni who share your career path in our forum.
Develop portfolio-worthy capstone projects
In addition to small projects designed to reinforce specific technical concepts, you’ll complete two capstone projects focused on realistic data science scenarios that you can show to future employers.
While working on the projects, you'll:
Identify a client’s business problem
Acquire, wrangle, and explore relevant data
Use machine learning to make predictions
Create real-world business impact through data storytelling
Work 1:1 with a mentor
Mentor-guided learning not only helps you build skills faster, but also enables career growth.
1:1 mentorship
Have weekly guided calls with your personal mentor, an industry expert.
Accountability
Your mentor will help you stay on track and as you tackle your goals.
Unlimited mentor calls
Get additional 1:1 help from a mentor from our community, at no extra cost.
My mentor was great, had real-world experience and served as a great resource to help me define a project as well as solve technical questions with my coding. She also provided extra resources if I wanted to practice or further develop a skill from the program.
Esme Gaisford
DSC graduate 2018
Ryan Rosario
Data Scientist
Eric Rynerson
Senior Data Scientist
Sameera Poduri
Data Science Manager
Ike Okonkwo
Data Scientist
Get the perfect job with unlimited 1:1 career coaching
Career-focused course material is paired with personal coaching calls to help you land your dream job. You’ll have 6 scheduled calls, with unlimited access to more. And full career support continues for 6 months after completing the program.
Your career coaching calls will help you:
Create a successful job search strategy
Build your data science network
Find the right job titles and companies
Craft a data science resume and LinkedIn profile
Ace the job interview
Negotiate your salary
Springboard helped with career prep and the job search where we were exploring different companies I'd be interested in. We also did mock interviews and technical interviews.They put me in contact with a few different employers.
Justin Knight
DSC graduate 2018
Our graduates were hired by...
Student outcomes
1,730+
Total students
who have enrolled in the Data Science Career Track since its launch in 2016
1
Job Guarantee Refund
among 211 eligible students who have completed the 6-month job search period
$25.7k+
Average salary increase
from students who provided pre- and post-course salaries, through October 1, 2019
Is this program right for me?
This data science bootcamp was designed for people with prior experience in statistics and programming, such as software developers, analysts, and finance professionals. All professional and academic backgrounds are welcome.
Prerequisites
6 months of active coding experience with a general-purpose programming language (e.g., Python, R, Java, C++)
Comfortable with basic probability and descriptive statistics, including concepts like mean and median, standard deviation, distributions, and histograms
Need more prep?
If you don't meet these requirements, check out our Data Science Career Track Prep course instead.
The Admissions Process
1
Submit your application
2
Pass the challenge
3
Join the program
Fill out our application form to get started. There is no application fee. It takes about 10-15 minutes. You should expect a reply in 2-3 business days.
Course start dates
The Data Science Career Track is a 6-month program. Most students devote 15-20 hours a week to complete the course.
The next cohort starts
Jan 6, 2020
Deadline for applications
Dec 24, 2019
Tuition
The full tuition of the program is $8,940. If you pay upfront, you get a 16% discount. Remember, if you don’t get a job within 6 months of completion, you’ll receive a full refund.
Scholarship eligibility: Are you a woman or a veteran?
Upfront discount
Pay upfront and save 16% on tuition
$8940 $7,500
Month to month
Pay only for the months you need, up to 6 months
$1,490
/mo
Total: Up to $8,940
Deferred tuition plan
Pay monthly only after you start a data science job
$817
/mo
Total: $10,500
New
Climb Credit loan
Finance your education with low monthly payments
$52-104
*/mo
Total: $10,160 - $11,523*
Meet a few of our alumni
George Mendoza
Education: Bachelor’s in history/economics
Previous job: Business Analyst
Current job: Data Scientist
My mentor Danny Wells was an incredible sounding board while I was learning Python, during my capstone ideations, and throughout their execution. The mock interviews forced me to prepare my pitch and served as a great recap of everything I’d learned up to that point. And I can’t possibly overstate the benefit of doing it all remotely while maintaining a job.
Karen Masterson
Education: Ph.D. in Linguistics
Previous job: Language IT Specialist
Current job: Data Analyst
Brandon Beidel
Education: BA, Engineering, Economics
Previous job: Software Developer
Current job: Data Scientist
Springboard had the four factors that were the most important for me: the ability to learn remotely, the ability to have a flexible schedule so I could still work part-time, dedicated mentors, and Career Services. They did a really good job providing me a structured way to apply for jobs all over the country and ultimately helped me find something that piqued my interest.
Apply for the Data Science Career Track
Secure your spot now. Spots are limited, and we accept qualified applicants on a first come, first served basis.
The application is free and takes just 10-15 minutes to complete.
What is included in the course tuition?
500+ hour expert-curated curriculum
Weekly video calls with your mentor
Unlimited additional 1:1 mentor support
Active online student community
Support from community managers
Unlimited career coach calls
Resume and portfolio reviews
1-on-1 mock interviews
Access to our employer network
100% money-back guarantee
Frequently Asked Questions
A career transition into data science is exciting, but involves focused and consistent effort. We are thrilled to have your back in this journey and ask for an equal commitment from you. In order to be eligible for this job guarantee, you should:
- be 18 years or older.
- hold a Bachelor’s degree from any educational institution in any subject, which is still a requirement by most employers for these roles
- be proficient in spoken and written English, as determined by initial interactions with our Admissions team
- be eligible to legally work in the United States, or in Canada if applying for positions in Toronto, for at least 2 years following graduation from the Career Track. See the detailed policy for further requirements about specific Visa types
- be able to pass any background checks associated with jobs that you apply for
- apply to positions, dedicate sufficient time and effort, and follow the job search process recommended to you by our career coaches.
Note that while our different specialization tracks prepare you for a career in a specialized field, we cannot guarantee that your first data science position will be in that field.
Read the full eligibility criteria and terms here.
The Data Science Career Track will train you for Data Science or technical Data Analyst roles where you will build machine learning models to predict business outcomes.
The Data Analytics Career Track will train you for Data Analyst roles where you will crunch numbers and generate visualizations using tools like Excel, SQL and Tableau.
The Machine Learning Career Track will train you for Machine Learning Engineer roles, where you will take a machine learning model and deploy it into production.
To see a more detailed comparison of these programs, head here.
There are 4 payment options (all of which come with our job guarantee as long as you meet eligibility requirements). Our two standard payment plans are:
- Monthly Plan: You pay $1,490 per month while you are enrolled in the program, capped at $8,940. After 6 months in the program, we will stop billing you. If you take 6 months to graduate, your total payment is $8,940. If you graduate sooner, you pay less!
- Upfront payment: You pay $7,500 upfront for 6 months. This is a 16% discount on the monthly plan.
In addition, we have 2 other payment options. These are available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address.
- Deferred Tuition: You pay a $700 deposit upon enrollment to confirm your seat (that's a discount on the normal $1,490/mo plan). Then, you’ll pay the remaining tuition ($9, 800) only when you land a job using your newly learned skills. You can pay that final balance in 12 monthly installments of $817. The remaining tuition will be waived if you don’t get a job, and maintain eligibility, within six months of graduating!
- Climb Credit loan: Available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address.
- If approved, you pay $500 deposit to confirm your seat. You can finance the remaining $8,440 through a loan. You’ll make small interest-only payments for the first 6 months. After that, you will pay 36 monthly payments of $274-303 each. Learn more here
- Please note: lending might not be available in all 50 states - click here for the current full lending list.
Yes, we have a financing option available! Students can apply for a loan with our partner Climb Credit, and if approved, use it to pay for tuition. Learn about the application process on Climb Credit’s website here.
We do also have a Deferred Tuition payment plan. With this payment plan, you can pay an initial upfront deposit ($700) and then not pay anything else until you graduate. This option is not subject to interest on payment––you will owe a flat fee of $9800 once you get a job. This fee will also be broken up into monthly payment of $817/month over 12 months.
Please note: lending might not be available in all 50 states - click here for the current full lending list.