About
About
Springboard is an online coding school offering online, flexible, mentor-led courses including the Data Science Career Track, UX Design Career Track, and Machine Learning Career Track (all offer job guarantees). While learning cutting-edge digital skills entirely online, students receive teaching and mentorship from industry experts. Springboard offers a number of self-paced, mentor-led workshops, plus a full Data Science Career Track program. The Data Science Career Track includes a deferred tuition option, so students can enroll for a small deposit and finish paying after starting a job. In all of Springboard’s self-paced courses, students develop job-ready skills that display industry-worthy capstone and portfolio projects. Throughout the entire process, students receive support from their industry mentor, as well as Springboard's resident advisors and the larger student/alumni community. Springboard combines expert-curated curricula with one-on-one mentorship. Springboard has served thousands of students from around the world.
To apply, applicants fill out an online form, take an aptitude test, then talk with a school representative about their background and motivations. For the data science career track a background in statistics and/or programming is required. For the UX career track, students should have academic or professional background in user design or development-oriented fields.
All graduates receive 1:1 career coaching including networking tips, resume and LinkedIn assistance, interview prep, and salary negotiation. Graduates go on to considerable success: those who accepted new jobs reported an average annual salary increase of $19,919. And because of the job guarantee, students who don’t find a job within six months of graduation receive a full refund.
Recent Springboard Reviews: Rating 4.73
Recent Springboard News
- From Self-Teaching to Springboard: How Jake Learned Machine Learning
- How to Get a Remote Data Science Job After Springboard
- From Artist to UX/UI Designer with Springboard
Courses
Courses
Data Analytics Career Track
ApplyStart Date Rolling Start Date Cost $5,500 Class size N/A Location Online Become a data analyst in six months, job guaranteed! Through this course, developed in partnership with Microsoft, you’ll master the technical and business thinking skills needed to get hired. In addition to learning fundamental business statistics concepts, key tools (like Excel, SQL, Python, Power BI, and Tableau), and advanced analysis techniques, you’ll develop your problem-solving skills—something hiring managers told us most job applicants lack. Two capstone projects will allow you to bring all of your skills together, becoming the center of a powerful portfolio. And you’ll do it all with the guidance of your personal mentor and career coach, plus support from your fellow students and Springboard alumni.Financing
Deposit N/A Financing Lending partner available: Climb Credit
Deferred tuition plan: Pay $500 and the rest when you get a job.Tuition Plans $5,500 upfront or $1,100 monthly payments, or deferred tuition plan. Refund / Guarantee Become a data analyst. Job Guaranteed. Scholarship $500 scholarship for veterans and women in tech. Getting in
Minimum Skill Level 2 years of professional work experience working regularly with office, design or programming tools. Strong critical thinking and problem-solving skills. Prep Work None Placement Test No Interview No
Data Science Career Track
ApplyStart Date Rolling Start Date Cost $7,500 Class size N/A Location Online Get a job, or your money back, through Springboard’s mentor-guided online bootcamp. With our job guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded. Students will master the data science process, from statistics and data wrangling to advanced topics like machine learning and data storytelling, by working on real projects designed by industry experts. With the guidance of your personal mentor and career coaches, you will graduate with an interview-ready portfolio and a network of data scientists. We won’t stop there. We know that career transitions are hard, and we’ll support you every step of the way—until you get hired.Financing
Deposit N/A Financing Lending partner available: Climb Credit
Deferred Tuition available: Pay $700 and the rest when you get a job.Tuition Plans $1490/month or $7,500 upfront or deferred tuition plan. Scholarship Women in Tech Veterans Getting in
Minimum Skill Level Comfortable programming and comfortable with statistics. Placement Test Yes Interview No
Data Science Career Track Prep
ApplyStart Date Rolling Start Date Cost $490 Class size N/A Location Online Need more prep before you begin the Data Science Career Track? In this mentor-led course, you'll spend 4-6 weeks mastering the foundational Python and statistics skills needed to pass the admissions challenge and start your career. This course was designed specifically for go-getters who want to enroll in our Data Science Career Track, but who need an introduction to, or a refresher in, Python programming, statistics, or other core data science concepts. With guidance from your personal mentor, you’ll finish the course having learned how to use Python to complete real-world coding exercises. You’ll also be able to ace our Data Science Career Track admissions challenge and begin your data science journey.Financing
Deposit None Getting in
Minimum Skill Level Beginnger Prep Work None Placement Test No Interview No
Introduction to Design
ApplyStart Date Rolling Start Date Cost $349 Class size N/A Location Online This four-week, online course allows students to experience the Springboard curriculum in a bite-sized, easily digestible format. It’s created for those who want to test if online learning is for them, and those who are simply curious to see if their interest in design could lead them towards a new career. Introduction to Design students have access to one-on-one mentorship from a design expert, a one-on-one call with a career coach, hands-on, exercise-based learning, access to a dedicated student advisor, a teaching assistant, student operations support and a community of aspiring designers and design experts.Financing
Deposit N/A Tuition Plans There is a one time fee of $349 at the time of enrolling in the course. Getting in
Minimum Skill Level No minimum skill level required. Prep Work No prep work needed for this course. Placement Test No Interview No
Machine Learning Engineering Career Track
ApplyStart Date Rolling Start Date Cost $7,940 Class size N/A Location Online Fast-track your machine learning career through our mentor-guided, hands-on machine learning engineering course—the first to come with a job guarantee. Our curriculum, designed for people with software engineering experience, is rigorous and deeply technical, teaching the foundations of machine learning and deep learning. But it’s also hands-on. Of the 400 hours of work we estimate it will take to complete this course, 100 hours go toward capstone projects. You’ll build and deploy large-scale AI systems—with guidance from your mentor, an experienced machine learning engineer currently working in the industry.Financing
Deposit N/A Financing Lending partner available: Climb Credit
Deferred Tuition Plan Available: $700 refundable deposit at the time of enrollment, pay the rest after landing a role in machine learning engineering.Tuition Plans $7,940 upfront $1490/month Climb Credit Loan Refund / Guarantee Job Guarantee. Get a job after 6 months or get your money back. Scholarship Women In Tech: $750 Veterans: $750 Getting in
Minimum Skill Level N/A Placement Test No Interview No
Software Engineering Career Track
ApplyStart Date Rolling Start Date Cost $8,500 Class size N/A Location Online Launch your career as a software engineer with 1:1 mentorship, career coaching, and a job guarantee. If you don’t land a job within six months of graduating, your tuition is refunded. We’ve partnered with legendary coding instructor Colt Steele to develop a cutting-edge curriculum covering everything from Python and SQL to the latest JavaScript frameworks that employers are hiring for, React and Node. As part of the course, you’ll build your own production-ready web apps to showcase to employers. You’ll also be paired with a personal mentor, an experienced software engineer currently working in the industry, who will guide you throughout the course.Financing
Deposit N/A Financing Lending partner available: Climb Credit. Pay $500 upfront. Then make low monthly payments of
$61-121 during the course, and $346-380 for 33 months after.Tuition Plans One-time Upfront Payment: $8500 Month-to-month: $1,150/month Refund / Guarantee Land a software engineering job in 6 months of graduating or get a full tuition refund. Scholarship We offer a $750 scholarship for women in tech and veterans. Getting in
Minimum Skill Level Prerequisites: JavaScript fundamentals & programmatic problem solving skills. Recommended: HTML & CSS fundamentals Placement Test No Interview No
Software Engineering Career Track Prep
ApplyStart Date Rolling Start Date Cost $490 Class size 1 Location Online Learn HTML/CSS and JavaScript in this online self-paced course from your own senior software engineer mentor. The perfect foundation to becoming a software engineer and taking more advanced job-guaranteed bootcamps like Springboard’s Software Engineer Career Track.Financing
Deposit N/A Getting in
Minimum Skill Level N/A Placement Test No Interview No
UI / UX Design Career Track
ApplyStart Date None scheduled Cost $8,200 Class size N/A Location Online Want to break into the tech and have a creative impact? Even if you have no previous design or tech experience, you can become a UI or UX designer in 9 months, equipped to own the product design process end-to-end. With our guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded. The course curriculum is ideal for those looking to career transition from non-design related backgrounds. You'll learn to apply design tools and concepts in the context of real-life design problems. Receive rigorous training from user research and wireframes to high fidelity mockups and working with developers to implement them. Build your confidence and a stellar portfolio curated from hands-on projects with clients. You have the flexibility to study online whilst working full time. Plus get 1-1 expert mentor support and a dedicated career coach to ensure your success throughout your journey.Financing
Deposit N/A Financing Lending partner available: Climb Credit
Deferred Tuition: Pay $700 upfront, and the rest when you get a job.Tuition Plans $1099/month, $8,200 upfront, or deferred tuition Refund / Guarantee Job Guarantee Scholarship $750 for women and veterans Getting in
Minimum Skill Level All backgrounds are welcome as long as you can demonstrate strong visual, creativity, and communication skills. Placement Test Yes Interview No
UX Career Track
ApplyStart Date Rolling Start Date Cost $5,400 Class size N/A Location Online Become a UX designer in six months, job guaranteed! The UX Career Track is an intensive user experience course with a full career services component. With our guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded. This self-paced, mentor-guided, online bootcamp is designed for people with adjacent skills from a few specific backgrounds: visual design, coding, marketing, and research. With the fundamentals already in place, you'll master design thinking, develop cross-functional communication skills, and create real-world projects that you can show off in a unique portfolio. After graduation, you’ll continue to enjoy the support of career coaches and access to our employer network so that you can land an entry-level UX job.Financing
Deposit N/A Financing Tuition Plans $1199/month, $5,400 upfront, or deferred tuition Refund / Guarantee Job Guarantee Getting in
Minimum Skill Level Academic or professional experience in user design or development oriented fields. Placement Test Yes Interview No
Scholarships
Scholarships
1 Scholarship
$500 Springboard Scholarship
Course Report is excited to offer an exclusive Springboard scholarship for $500 off tuition!Eligibility
Offer is only valid for new applicants. Applicants who have already submitted an application cannot claim this scholarship. & This scholarship cannot be combined with other offers.Qualifying Courses
- UX Career Track (Online)
- UI / UX Design Career Track (Online)
- Software Engineering Career Track (Online)
- Machine Learning Engineering Career Track (Online)
- Data Science Career Track (Online)
- Data Analytics Career Track (Online)
Reviews
Springboard Reviews
Shared Review
- Enriching experience- 4/25/2019Demetri Lee • Corporate IT Support Engineer • Student • Course: Introduction to Data Science • Campus: Online • Verified via GitHub
I was interested in a career change but didn't know any data scientists. It's probably possible to learn from other free sources everything Springboard curated for me but I didn't know where to start and without guidance from a mentor, it was hard to guage where I was in this journey towards a career change. I felt having 1-on-1 access to a mentor was worth the price of admission. I truly valued my time with my assigned mentor as he was encouraging, helpful and experienced about the subject matter. Although I didn't take the career track, my mentor answered my career related questions. As a working professional with a family, Springboard made it possible to follow a syllabus and learn at my own pace.
- Outstanding Job Prep and Community- 12/5/2019Rachel Braun • Student • Course: UX Career Track • Campus: Online • Verified via LinkedIn
I enrolled in Springboard's UX Career Track in April 2019. I was able to finish in eight months and still get the job guarantee. What I liked the most was the one on one weekly mentor calls and the community on Slack. With those tools I was able to have any of my questions answered. Springboard also really prepares you to work in the industry, since in order to be eligible for the job guarantee, you need to pass a behavioral mock interview and a portfolio walkthrough, which are the two types of interviews you have to go through when applying for UX jobs. I am now excited to start my job search and look forward to keeping in touch with everyone on the Slack community.
- Promises never kept- 12/4/2019Keith Snyder • Student • Course: UX Career Track • Campus: Online • Verified via LinkedIn
I am rewriting my review as it has been 6 months and still no job. The problem is that the career coaches are always booked up and you cant book a time that works for you. I booked 2 career coach calls within a 2 week period and canceled one of them because I had one booked already. Sometimes the career coach has to reschedule, thats why I did 2 schedules. Not a month later the school emails me that I am no longer eligble for the money back guarantee because I canceled one of my 2 calls. The problem with this Bootcamp school is they dont have enough resources for you and your set up for failure. Also you should try and stick to one career coach as multiple people have different ideas and it messes you up. Like, one said to do this on your resume and the other said to do this. Stick with one that you like.
- Philip Sparks • Graduate • Course: Machine Learning Engineering Career Track • Campus: Online • Verified via LinkedIn
This course gives an extremely broad foundation for getting into ML/AI/DS careers. The weekly mentoring is perhaps the best part, and having weekly meetings with an experienced member in the field pays huge dividends, especially as you find yourself changing jobs or feeling like some impostor to the field.
You will become extremely knowledge about the math and proof of concept stage to getting machine learning-based projects off the ground. I think this is helpful, but could improve in many ways for 2020.
1. More emphasis on deploying systems and system design. The curriculum delves very little into cloud services (AWS, GCP, Azure), preferring a more open-source based model. I think this is good in general, but machine learning engineers are inevitably going to be using one of these services in their careers. The course gives you credits for AWS, but little attention is paid in the curriculum to its use cases. Given all the time spent in the course, reading other paid material like "Grokking the System Design Interview" shouldn't be necessary if the curriculum is better formed.
2. Techniques other than machine learning. It's kind of ironic to ask a course like this to do something other than ML, but knowing when ML is useful and when other techniques are appropriate (from heuristics to Deep RL) does not really get much attention.
3. More work on data collection. It would be much more helpful if the course explained more further up the pipeline on how to collect, ETL, and store data to make ML possible. It might be an old school way of thinking, but many companies have older data systems that need to be understood in order to get to the interesting ML portions.
- Tough, but Fair and Valuable- 12/2/2019Jorge Agustin Suarez-Marill • Graduate • Course: Machine Learning Engineering Career Track • Campus: Online • Verified via LinkedIn
This course covers a lot of info in a very detailed manner. You get a wide variety of topics, and you will get a nitty-gritty view of it, too. I appreciate the mentor they give you to get you through it. I had a very helpful one that I met with every week and was very good about answering my questions. You even get some career help, and you can't graduate from the course unless you do some practice interviews. This is were my negative comes in. It was very difficult to even schedule these interviews (and other career advisor meetings that are separate from the mentor ones). The slots were few and filled very quickly. For one practice interview, the person that I was supposed to do it with didn't even show up, so I had to reschedule that one. That was frustrating to me and a mar on an otherwise good course. Other than that, I would recommend it.
- Varun Tyagi • Data Scientist • Graduate • Course: Machine Learning Engineering Career Track • Campus: Online • Verified via LinkedIn
Springboard did a really good job in putting together all the coursework and materials together. The materials and topics were up to date and quite relevant to the latest trends in machine learning. Even though the coursework and videos might have come from different sources and might seem unstructured, the content was useful and pointed you in the right direction in case you wanted to delve into that subject using resources you found on your own. Hands-on mini-projects for certain topics were crucial in helping gain a practical understanding of the subject matter. The one-on-one weekly meetings with the mentor were an invaluable experience.
The coursework and videos will take up a lot of your time and sometimes it is hard staying on track, especially while trying to work on the capstone project in parallel.
Overall, it was well worth the time and effort!
- Excellent!- 11/25/2019Kristen Colley • Data Science Intern • Course: Data Science Career Track • Campus: Online • Verified via LinkedIn
Springboard definitely got the job done. Their mentors and career services really make the entire experience.
- Excellent Self Paced Learning Experience- 11/25/2019
I had done my research into choosing this course, and it is the best school to sign up for if you are working full-time. The curriculum is well-paced and offered a lot of technical coursework to supplement my existing knowledge of product design. The support I received was absolutely fantastic. Everyone was gracious and understanding to my needs. I've also noticed the community has been growing quickly since I've last signed up.
- Overall good experience- 11/19/2019Melanie Malinas • Graduate • Course: Data Science Career Track • Campus: Online • Verified via LinkedIn
I just completed the Data Science Career Track with Springboard. I had a good experience overall. My mentor was very helpful with the two capstone projects. I felt that the curriculum was pretty in-depth, although it would have been nice at some points to get more practice with some of the concepts because it is a lot of information to digest and I feel like over the course of the last few months I have forgotten a lot of what I've learned.
I do feel like the career support is good because they are actually invested in you getting a job because of the job guarantee. I don't have a job yet but I have had a few phone interviews, and I am optimistic about my prospects.
- Best Online Bootcamp- 11/18/2019Debisree Ray • Graduate • Course: Data Science Career Track • Campus: Online • Verified via LinkedIn
Pros:
Nice and organized curriculum, with mini hands-on projects.
Continuous help from the mentor (real Data Scientist working in industry)
Remote and part-time. So you can maintain your present job while working on this.
Opportunity to work on two capstone projects with the help and support from your mentor.
Career coaches are there to help with your resume/LinkedIn profile, networking, and soft skills.
Mock interviews to prepare.Cons:
No in house lectures/ they are tied up with Data camp/Khan Academy/ LinkedIn learning mostly for all lectures.
Everything is remote, so you might lose motivation sometimes, where in-person boot camps are like a real school.
Not all the mentors are equally caring and helpful.
- Machine Learning Engineering bootcamp- 11/14/2019Guilherme Lopasso • Head of Analytics • Student • Course: Machine Learning Engineering Career Track • Campus: Online • Verified via LinkedIn
6-month online bootcamp on ML Engineering, which is to put ML models into production, using high software engineering standards for quality, testing, serving, monitoring, documentation, etc.
- Misleading, Crooked in every aspects- 11/11/2019Tannistha Maiti • Graduate • Course: Data Science Career Track • Campus: Online • Verified via LinkedIn
They are one of the crooked so-called educational institutions. I took their course which ensures money back guarantee if I am unable to secure a job within a time frame. I did everything according to their guideline, and now, they are making false accusations to grab my money. I will not let this organization cheat students like this, and I will take every legal actions against them. All the good reviews on internet are simply generated by their robots. They even pay some employers, so that the employers can do fake advertisement of recruiting their students after the completion of the Springboard career-track program. This is such a deceptive and fishy institution ripping off many innocent students in North America. I would never recommend them.
Response From: Jonathan Heyne of Springboard
Title: General Manager, Data CoursesThursday, Nov 14 2019Hi Tannistha,
I am Springboard’s General Manager of Data programs. Thanks for this feedback. I can completely understand your frustration, we witness almost daily how career change is a challenging journey which requires focused, consistent efforts. That’s why we created a comprehensive career services system that has helped hundreds of students secure new jobs with an average salary increase of over $25,000/year. We are committed (and excited!) to support our students through every step of this journey, and ask for a similar commitment from them.
For regulatory privacy reasons, I cannot share student-specific information and address your situation on this thread. However, generally speaking, as has been communicated to you over email, in those rare cases where the job guarantee process is not followed despite multiple reminders and exceptions by us, we are simply unable to create the desired outcome for the student single-handedly. When the process is followed, however, it’s been extremely successful (over 50% of our students’ job offers come in before they even finish the course!).
As any other Springboard student, if you are willing to commit to the process and work with us on completing your career change, you are very very welcome and will receive our full and complete support.
Best,
Jonathan
- (PhD in philosophy) Overall, Good Experience So Far- 10/31/2019Walker Page • Aspiring Data Scientist (currently unemployed) • Student • Course: Data Science Career Track • Campus: Online • Verified via LinkedIn
A little background: I'm currently about 25% through Springboard's Data Science Career Track program. My professional background is in higher education. I recently completed a PhD in philosophy and have experience teaching undergraduate philosophy courses. I have minimal background in math beyond the high school level, but my philosophy degrees have prepared me for the sort of technical and critical thinking skills used in data science. I'm doing the Springboard program to make a career change. I completed most of Springboard's Data Science Prep Course, which I found helpful, before being accepted into the Career Track program.
Review: Overall, my experience in the Career Track program has been pretty good so far. My impression is that the quality of one's experience with the program depends largely on the quality of one's mentor. My mentor was initially pretty poor, and I had a difficult time understanding his accent. But I reached out to Springboard early in the program, and they helped reassign me to a new mentor. Thankfully, my new mentor is excellent and has dramatically improved my experience. I'm in a study group with other students, and I've gotten the impression that their mentors are so-so. I have learned a lot so far in the program, and I've been especially happy with Springboard's "customer support" (very friendly and helpful) and career support (they get you started on job stuff early on in the program). A fair portion of the data science curriculum (so far) has consisted of Datacamp exercises. Springboard partners with Datacamp, and students get free access to Datacamp courses. Honestly, I haven't been that impressed with the Datacamp courses. They are helpful for gaining superficial exposure to tools and skills used in data science, but they don't cultivate a deep understanding. I will say that the time estimates Springboard gives (completion in 6 months, working 15-20 hrs a week) are pretty unrealistic. Most of my study group (including me) is working on the course full time, and we are all on track to finish in 5 months (at the earliest), and probably more like 6 months. Unless you already have significant data science experience, don't expect to finish the program in under 5 months, and possibly even under 6 months.
Overall, given my experience so far, I would probably recommend (pretty highly) Springboard's program to people (depending on their circumstances). I'm happy to discuss my experience with people if anyone would like to know more, especially people with an academic background in the humanities. You can find me on LinkedIn and around the web if you look (e.g. philpeople.org). Feel free to reach out.
