Springboard is an online learning platform that prepares students for the tech industry’s most in-demand careers with comprehensive, mentor-led online programs in software engineering, data science, machine learning, UI/UX design, cybersecurity, and more. All Springboard courses are 100% online, remote, and self-paced throughout an average of 6-9 months. Springboard acts as a support system, coach, and cheerleader for working professionals who are ready to level-up or make a major career shift. Students have access to a unique community of industry mentors, thought leaders, and alumni, who are on hand to offer insights, networking opportunities, and support throughout the program and well past graduation. Every Springboard student is matched with a personal student advisor and industry mentor who guides them throughout the program through weekly video calls.
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.
Before graduation, Springboard’s career services team supports students in their job search, helping prepare them for interviews and networking, and facilitates their transition into the tech industry. Springboard’s tuition-back guarantee allows students a six-month runway to land a job.
Springboard’s support does not end when students graduate. All graduates benefit from an extensive support network encompassing career services, 1:1 career coaching, networking tips, resume assistance, interview prep, and salary negotiation. Since Springboard was founded in 2013, 94% of eligible graduates secured a job within one year, earning an average salary increase of $26,000.
Recent Springboard Reviews: Rating 4.64
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- CompTIA Security+, Ethical Hacking, Network Security, Penetration Testing
OnlinePart Time15 Hours/week24 Weeks
Start Date Rolling Start Date Cost $9,900 Class size N/A Location OnlineThis Cyber Security Career Track is the first online cyber bootcamp to guarantee your first cybersecurity job or your tuition back. In this fully online Cyber Security Career Track, you will learn from the comfort of your home and at your own pace with 1:1 support from a skilled cybersecurity mentor and dedicated support from career coaches. You’ll complete 30+ labs and 35+ mini-projects while getting everything you need to pass the Security+ certification test. By the end of the bootcamp, you'll have all of the blue team technical and communication skills you need to start a cybersecurity analyst role (A job that helps you earn about $100,000 in average salary). Units include: - Cybersecurity Basics (optional) - Cybersecurity Fundamentals - IT Project Management - Host-based security - Network Security - Identity and Access Management - Security Assessment and Training - Security Operations - Application Security - Security+ Prep
Deposit N/A Financing Tuition Plans $1,890/month, $9,900 upfront, loan financing and deferred tuition payment plans available. Refund / Guarantee Your money back if you don't land a job within 6 months after graduating from our online bootcamp and receiving your Security+ Certification. Scholarship $750 scholarship for veterans and women in tech.
Minimum Skill Level All backgrounds are welcome, as long as you can demonstrate strong analytical skills and a determination to work through and complete all required course activities. Placement Test No Interview No Start Date Rolling Start Date Cost $8,500 Class size N/A Location OnlineBecome 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.
Deposit N/A FinancingLending partner available: Climb Credit
Deferred tuition plan: Pay $500 and the rest when you get a job.
Tuition Plans $8,500 upfront or $1,690 monthly payments, or deferred tuition plan. Refund / Guarantee Become a data analyst. Job Guaranteed. Scholarship $500 scholarship for veterans and women in tech.
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 Start Date Rolling Start Date Cost $10,900 Class size N/A Location OnlineData Engineering students will learn to translate business needs into data infrastructure. The curriculum is designed to teach students the framework, skills, and tools the world's top technology companies demand. Some of the topics the curriculum covers include ETL and data pipelines, big data technologies like MapReduce, Apache Hadoop and Spark, and data warehousing, data schema, and modeling.
Deposit N/A Financing Tuition Plans $2190/month, $10,900 upfront, loan financing, and deferred tuition plans available. Refund / Guarantee Full tuition refund if you don't land a job within 6 months of graduating. Scholarship $750 scholarships for veterans and women in tech.
Minimum Skill Level - 6+ months of work experience in any analytical role, ideally working with SQL - 6+ months of work experience as a software engineer using Python or Java or C++ - Bachelor's degree in CS or other degree that involves extensive programming skills Placement Test Yes Interview Yes Start Date Rolling Start Date Cost $9,900 Class size N/A Location OnlineGet 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.
Deposit N/A FinancingLending partner available: Climb Credit
Deferred Tuition available: Pay $700 and the rest when you get a job.
Tuition Plans $1,890 /month or $9,900 upfront or deferred tuition plan. Scholarship $750 for Women in Tech and Veterans
Minimum Skill Level Comfortable programming and comfortable with statistics. Placement Test Yes Interview No Start Date Rolling Start Date Cost $490 Class size N/A Location OnlineNeed 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.
Minimum Skill Level Beginnger Prep Work None Placement Test No Interview No Start Date None scheduled Cost $349 Class size N/A Location OnlineThis course is designed to help students decide if a career in data analytics is right for them. It will also help them decide if Springboard is the right educator for them. The course will introduce students to data analytics fundamentals, including structured thinking processes, Excel foundations, and how to present data-driven insights.
Minimum Skill Level N/A Placement Test No Interview No
- User Experience Design
OnlinePart Time10 Hours/week4 Weeks
Start Date Rolling Start Date Cost $349 Class size N/A Location OnlineThis 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.
Deposit N/A Tuition Plans There is a one time fee of $349 at the time of enrolling in the course.
Minimum Skill Level No minimum skill level required. Prep Work No prep work needed for this course. Placement Test No Interview No Start Date Rolling Start Date Cost $10,900 Class size N/A Location OnlineFast-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.
Deposit N/A FinancingLending 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 $10,900 upfront $2190/month Refund / Guarantee Job Guarantee. Get a job after 6 months or get your money back. Scholarship Women In Tech: $750 Veterans: $750
Deposit N/A Financing Tuition Plans One-time Upfront Payment: $9,900 Month-to-month: $1,290/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.
Minimum Skill Level N/A Placement Test No Interview No Start Date None scheduled Cost $11,900 Class size N/A Location OnlineWant 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.
Deposit N/A Financing Tuition Plans $1,590/month, $11,900 upfront, or deferred tuition Refund / Guarantee Job Guarantee Scholarship $750 for women and veterans
Minimum Skill Level All backgrounds are welcome as long as you can demonstrate strong visual, creativity, and communication skills. Placement Test No Interview No Start Date Rolling Start Date Cost $7,900 Class size N/A Location OnlineBecome 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.
Deposit N/A Financing Tuition Plans $1,590/month, $7,900 upfront, loan financing and deferred tuition payment plans available. Refund / Guarantee Job Guarantee Scholarship $500 scholarship for veterans and women in tech.
Minimum Skill Level Academic or professional experience in user design or development oriented fields. Placement Test No Interview No
Course Report is excited to offer an exclusive Springboard scholarship for $1,000 off tuition!
EligibilityOffer 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.
- Machine Learning Engineering Career Track (Online)
- Data Analytics Career Track (Online)
- Data Science Career Track (Online)
- Software Engineering Career Track (Online)
- UI / UX Design Career Track (Online)
- UX Career Track (Online)
1073 reviews sorted by:
- excellent- 9/30/2019Anonymous • Student • Course: Intermediate Data Science: Python • Campus: Online
I finished off the "intermediate Data Science with Python" course in September 2019. My background was a master's degree in operations research and an undergraduate degree in mechanical engineering. My prior programming experience consisted only of MATLAB from my time in graduate school.
I highly recommend this course for someone with a background that is similar to mine who wishes to evaluate their interest in data science and machine learning. The "go at your own pace" approach allows for students to take the time they need to fill in any gaps in their background and to really understand the course material before moving on. But at the same time, the weekly calls keep the student on track and motivated. I was quite happy with the guidance and supervision I received from my course mentor. The course material and assignments were well selected and the chronology that they were presented in works well also.
Student support was excellent. When I identified some issues with my first mentor that indicated a poor fit, student support reached out for a phone call, took the time to understand the situation and promptly assigned me to a new mentor.
- Springboard UX Design Course- 9/18/2019Anonymous • Student • Course: UX Design • Campus: Online
- UX?- 9/17/2019Anonymous • Student • Course: UX Design • Campus: Online
I had a terrible experience working with Springboard for the user experience module. The mentors assigned to me, other than the one or two individuals i have worked with were disrespectful and were not considering the need to allow for students to pursue their civil liberties. The unjust interference in attempting to tell me that I should spend my time working on a project for the healthcare industry as opposed to working on something for the fashion industry is absolutely ridiculous and uncalled for. It is unamerican, I have wasted so much of my time trying to work alongside someone who doesn’t see eye-to-eye with me when it comes to things that truly matter. Springboard’s mentor matching program seriously needs some major improvement and maybe even a variety of mentors spanning across various industries and sectors. Narrow-mindedness doesn’t help. Having already been exposed to UX material, I should have also been able to complete the course much earlier, but due to these conflicts with said mentor and attempting to work alongside and take guidance from someone whose values differ conflictingly from yours, it took me more than twice the amount of time to progress through the course. I could not complete the course due to these issues and having considered the fact that I’m paying $499 a month just to work alongside a conflictingly contrasting individual. It was totally unnecessary and I have most certainly asked for my full refund back for the course as I have dealt with absolute ridiculousness and have come out of the experience with no additional valuable UX mastery. Ridiculous.
- SpringBoard Data Science Career Track- 8/7/2019Anonymous • Student • Course: Data Science Career Track • Campus: Online
The main positives to take from the course are the interactions with the mentor and the interview preps. Now I had a very hesitant mindset about applying for a bootcamp wondering whether I would be able to get employment considering I do not have a computer science degree or a STEM degree. I have a political science degree. I was told that these things do not matter and that you can easily land a job after you get both your projects done. I had done very detailed projects and posted them on github and did everything the career coaches suggested I do. Unfortunately not a single data science position had reached out to me.
Now for the curriculum. This was sadly most dissappointing. The course mainly revolves around data camp courses. And then these are supplemented by youtube lectures from Harvard or other institutions that would talk about the subject with the impression that you have intermediate knowledge of the subject matter, despite it being a beginners intro video to a concept. I have had much better success with the self study resources available on the internet, such as youtube tutorials etc. Also did two Udemy courses for 11 dollars each and got a better understanding of the subjects. There was no feel of an actual boot camp teaching you, they basically link you to external sources that arent theirs.
- UX Design Course- 4/28/2019Anonymous
Great course to get an introductory knowledge to UX. There is an indepth explanation of the entire process with references and helpful links. Through the projects and assignments you get an idea of what UX design entails and the processes to be followed.
- Springboard - A Positive Experience- 4/2/2019Anonymous • Graduate • Course: Data Science Career Track • Campus: Online
I enrolled in the Springboard Data Science Career Track on December of 17, completed April 19. Due to life circumstances, I had to freeze and extend my completion date during the latter half of 2018. When I returned, I made sure I kept the same mentor as that was an absolutely highlight of this experience. I was working full-time while enrolled.
Depth of coursework
My mentor was simply superb, this was in my opinion the best feature from this program that differs itself from others. Having a professional data scientist with working experience to offer insight concurrently while the course progresses enhanced the learning experience, I was able to bounce questions and solicit feedback both from course content and my perfornce freely and openly on a weekly basis. This has helped fuel my growth tremendously.
Although, in my opinion, I wish there was stronger emphasis and more depth offered on the machine learning portion of the coursework. For those who are curious, the way Springboard structures their coursework follows the format of data science work flow: Familiarization with programming -> Data Wrangling -> Exploratory Data Analysis/Visualization -> Statistical Inferences -> Modeling/Machine Learning -> Delivery of Results/Implementation. This flow offers a very good broad perspectives on what a Data Scientist does, but I was left craving a bit more material on the depth of Machine Learning models, such as the math and science behind some of the methodologies and the tools used.
In terms of Job Assistance, I thought the career advisors I worked with provided good feedback. However, I thought a lot of the resume and cover letters support are readily available online already, and that the job opportunities within Springboard I noticed are more relevant for students in the SF Bay Area and NYC. For those not living in the two areas, the process will not be noticably easier.
- Career Track Data Science- 3/31/2019Anonymous • Student • Course: Data Science Career Track • Campus: Online
I was completing my PhD in geophysics and I started my online course on Data Science with Springboard. One of the things I really liked the curriculum it stated with the basics and then went difficult. The curriculum helped me to understand the bigger picture of Data Science. I really appreciate the mentoring part of the program. It really helped me to get a good understanding of various topics in Data science. Without mentoring, I would not be confident in communicating with the Data science group. I shared my articles in Medium and LinkedIn and got acknowledged by the Data science group. I am still working with the career service to land a job as a Data Scientist. I can honestly say that I would not be able to make a transition from geophysicist to data scientist so fast without Springboard. Also special mention to the staff, incredibly responsive and helpful.
- UX Design- 3/14/2019Anonymous • Student • Course: UX Design • Campus: Online
This course is self paced and Springboard did a great job of estimating the amount of work necessary per week to get me to my desired completion date. I needed/wanted to complete the UX Design course in three months and their curriculum plan (with timing) worked very well for me.
- Great for self pace studying- 3/3/2019Anonymous • Graduate • Course: Introduction to Data Science • Campus: Online
Before I started this course, I didn't know how to code, and I didn't truly understand what data science was. But with the help of my mentor, the curriculum, and the projects in the course I know have valuable skills and a deeper understanding on how to analyze data.
This course is perfect for setting up your own pace. Since I had 0 experience coding, I was not pressured to cover it in a pace that I wasn't comfortable with. In contrast, since I did have a background in statistics I was able to quickly go though all of that material without being forced to work at a pace that didn't suit me.
- Springboard- 1/31/2019Anonymous • K • Graduate • Course: UX Design • Campus: Online
- Overall good with some bad- 1/29/2019Anonymous • Student • Course: Data Science Career Track • Campus: Online
Lot of material and practice with data munging/cleaning/visualization. However, certain topics, such as Spark and Data Science for production, are only covered superficially with no actual practice. Overall, there are plenty of resources to practice the general skill set needed.
- Anonymous • Student • Campus: Online
This is an entry level boot camp program designed for students with limited background in data analytics.
Pros: Weekly mentor calls is the main selling point, I enjoyed chatting with my mentor, but you need to be well prepared with agenda items, otherwise 30 minutes can pass so fast with no solid progression made. The mini projects in Jupytor notebooks are all very interesting and insightful, I think I've learnt more from those than videos and quiz. While I can see the trace that those are probably not what they originated, they did make modifications to those projects so it ended to be a good summary of each section.
Cons: I'm not a big fan for a student proposed capstone project. I can easily imagine someone getting stuck at thinking about valuable business ideas and reliable data source to begin with their project, especially for a program facing inexperienced students. The program course material is mainly from Datacamp, there is nothing wrong with that business collaboration, but you won't feel happy realizing Datacamp subscription is only $29 per month. I convinced myself I'm mainly paying for the tutoring, and this could be subjective people believe it worth the price or not. Not much job support if you are not choosing the career track.
One suggestion I'd like to make is to alter a little big the tempo of the program. Currently I can strong feel a jump of level of difficulty moving from statistical inference section to machine learning, and I consider myself half-experienced for those topics. If this is supposed to be a program for people start thinking about exploring their career at data analytics, I think you can simplify on machine learning topics and make the mini project as easy as what datacamp offered. If you believe this is a hard-core data science program, you'd like students to put more hours into the topic.