Springboard is an online coding school that offers courses in many different career tracks, including UX design, data science, and machine learning. All of these courses come with a job guarantee.
In this Springboard review, we’ll look deeper into the courses the coding school offers, and what sets it apart from others in the industry.
Springboard’s career tracks and self-paced workshops help students develop job-ready skills. Its curriculum is project-based, with students working on their portfolios throughout their course.
Students also get plenty of support from career advisers, industry mentors, and Springboard alumni as they prepare to enter the workforce after completing their program.
Locations | Online |
Tuition | $3,300-10,000 |
Financing Options | Deferred Tuition, Upfront Payment, Month-to-month Installments, Scholarships, Loans |
Start Dates | Varies |
Program Types | Online, Self-paced, Full-Time, Part-Time |
Courses | UI/UX Design, UX Design, Introduction to Design, Data Science, Data Analytics, Data Engineering, Machine Learning Engineering, Software Engineering, Software Engineering Prep, Cyber Security |
Springboard classes are taught exclusively online. This allows students to go at their own pace, and to study from anywhere in the world.
Tuition at Springboard varies depending on which track you choose to pursue. The Data Science, Machine Learning, and Data Engineering courses cost between $7,500 and $7,940.
The Web Design programs cost from $6,900 to $10,000, while the Data Analytics track is $5,500. The Software Engineering career track is $8,500, and the Cyber Security course is $8,900.
Springboard provides its students with several financing options. These include a deferred tuition plan, scholarships, loans, and a discount on upfront payments.
Those who can pay upfront will receive a discount on their tuition. As per the school’s job guarantee, if you don’t find a job within six months of graduating, you will receive a full refund.
There are a few scholarships at Springboard for veterans, college students, and women. If you fit into one of these categories, this is a great way to reduce tuition costs.
Each of the career track courses at Springboard offers a job guarantee, so you can choose to defer your tuition until after you get a job. If you choose this option, you will need to pay a deposit at the time of enrollment. You will pay nothing during your program, and monthly installments after graduation.
In this option, you will only need to pay a refundable deposit at the time of enrollment, then pay monthly installments.
Springboard works with Climb Credit to offer student loans with low monthly payments to US students. You will pay $500 at the time of enrollment, and then $55 to $111 payments on interest during the course. After the course, you will pay between $293 and $324 for 36 months depending on the interest rate of your loan.
Springboard doesn’t accept the GI Bill. However, it does offer veterans scholarships ranging from $500 to $750.
Springboard offers several career track programs, including in Software Engineering, UX/UI Design, Data Analytics, and Cyber Security. Each course features unlimited one-on-one mentorship, hands-on projects, and career support. The coursework will include articles, videos, and exercises.
In each of these courses, you will attend weekly calls with your mentor. Because these courses are self-paced, you can track your own progress and check off projects as you work your way through the curriculum.
The school’s courses are broken down into four categories, as seen below.
There are four data science courses at Springboard, including the Data Science Career Track, Data Science Career Track Prep, ML Engineering Career Track, and the Data Engineering Career Track. All of these courses take six months to complete.
The Data Science Bootcamp was designed for those with prior coding experience, including software developers, analyasts, and finance professionals. The Machine Learning Bootcamp is for those who want to become a machine learning engineer, and who have at least one year of relevant professional experience or a master’s degree.
The data science and data engineering courses cover coding with Python, statistical inference, and machine learning techniques. The ML Engineering course gets further into deep learning, image processing, and how to deploy machine learning systems.
The six-month Data Analytics Career Track is ideal if you love problem-solving and critical thinking.
In these lessons, you will learn how to analyze business problems, categorize data using SQL, and to visualize data using Python. During the course, you will complete two projects in which you’ll utilize your new skills in end-to-end analysis and synthesizing insights.
Prerequisites for the program include two years of work experience using office, design, or programming tools.
In this six-month course, you will start off by learning about cyber security fundamentals such as threat types and malware. Then, you’ll move on to more advanced concepts like how to authorize access to a system to keep it secure, and how to conduct risk assessments and check for vulnerabilities.
Throughout the coursework, you will complete labs on each of these topics to test your skills. The final project involves putting all your skills together to address a security risk using the testing and problem-solving techniques you’ve learned.
There are three different design course options at Springboard, including Introduction to Design, a UI/UX Design Career Track, and a UX Career Track.
The Introduction to Design course is a way for you to decide if you want to pursue a career in design. New cohorts for this course start every Monday. The course costs $349, but you will get this amount taken off your tuition in the UX or UI/UX Career Track should you decide to move on to that course.
The nine-month UI/UX Career Track includes many design projects which you’ll compile into a portfolio and use on your job search. Topics covered in this course include design thinking, interaction design, and wireframing. You’ll learn to create website designs with Sketch, Adobe XD, and Figma.
To enter the six-month UX Career Track, you must have at least one year of experience in a design-related job. During this course, you’ll learn how to conduct user research, how to use designs to solve users’ problems, and how to create website prototypes Sketch and Adobe XD.
There are two coding courses at Springboard. One is the Software Engineering Career Track, and the other is the Prep Course associated with this career track.
The Software Engineering Career Track Prep Course takes four to six weeks to complete, and covers web basics such as HTML, CSS, and Javascript.
The nine-month Software Engineering Career Track covers all elements of front end and backend web development. You’ll learn programming languages like JavaScript, Python, and SQL, and how they can be used together to create full stack applications. This program includes several projects so you can put your design skills to the test.
The prerequisites to get into Springboard School vary depending on which career track you have your heart set on. If you are not qualified for a particular career track right away, Springboard’s introductory courses can help you get ready.
The application process for each career track is the same. You will need to follow the steps below to apply.
Springboard School looks for students with strong critical thinking, problem-solving, and communication skills. A school representative may inquire about the following topics during the coding bootcamp interview.
If you are new to bootcamps or trying to decide if a specific course is right for you, enrolling in a prep class might be the right first move.
Below are the two prep courses that Springboard offers.
If you are interested in a career in data science, analytics, Design, or Coding, then Springboard might be worth it. The school’s graduates have gone on to work for top tech companies such as Lyft, Google, Facebook, Dell, Wayfair, and Pandora.
Additionally, graduates in the UX Design and Data Science courses have reported receiving an average salary increase of $26,000.
Springboard does not make its job placement rate public. However, it does offer plenty of career services for students, including coaching, mentoring, and access to a network of tech professionals. Your career coach will give you feedback on your resume, help you devise a job search strategy, and answer any questions you have.
Yes, all non-introductory Springboards courses offer a job guarantee. This guarantee means that if you don’t find a job within six months of graduating, you will get a full tuition refund.
If you are looking for a bootcamp that will lead to a tech career, then you should apply to Springboard. You can attend its self-paced courses and receive one-on-one mentoring even if you’re still working while pursuing your career change.
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Anonymous
The curriculum is well structured and the mentors are a great deal of support for the price. The only thing that I had trouble with was completing the program in the advertised amount of time. I think in total I averaged about 25-30 hours a week over the course of 7 months, but that could have been due to the complexity of my capstone projects. I definitely learned a ton in that time period though and they were very supportive the whole time!
June 12, 2019
Anonymous
My experience with Springboard was AWESOME. I started the program with no experience, the curriculum, mentors and career coaches were excellent. I had a terrific time learning and now I have invaluable skills!
July 10, 2019
Anonymous
The Springboard Data Science track is a well-rounded bootcamp program. Over the course of six months, there are two major projects, weekly calls with an industry professional, several career coaching sessions and ample study material. The cohort participation is a little lacking but for a program that is online and for working professionals that is to be expected. I wish there were more post-bootcamp resources available regarding interview prep. Overall this is well worth the price and students will get the most out of this program.
July 14, 2019
Anonymous
Springboard’s curriculum is a nicely curated selection of resources around the web that pay attention to the core concepts of UX design, starting with its history and evolution and continuing into a nicely-paced guide to doing the steps yourself. I think the real star of the show is the 1:1 weekly mentor calls included in the course, which do well to provide a real voice to real world experience, and have the added bonus of keeping you on task.
July 17, 2019
Anonymous
it was an excellent program if you want to make or improve your portfolio. Mentors are very good and knowledgeable.
July 3, 2020
Anonymous
I chose to do the UX Design course with a goal of completing within 3 months. I was lucky to be paired with a mentor with many years of experience and he was instrumental in taking my capstone project to the next level. He was available and flexible to meet my tight deadline for completion and I am grateful for his support through the whole process. The content itself is easy to work through and when I did have a question regarding the curriculum, my mentor was able to quickly answer and clarify. This is a great course for people looking to see a glimpse into the UX process and I think a great starting point! There is so much more to learn of course but I feel I have the real-world skills to start incorporating these into my daily routines as a designer.
July 7, 2020
Anonymous
As a working professional, I’ve learned that constant learning is essential for career success! As such, I had a great experience with Springboard’s data science courses and was expecting the same out of their business analytics course. I really enjoyed learning about the various concepts taught in the program: data modeling, dashboarding, customer life-time value among many others. Despite being familiar with the basics of these and other concepts (I have a Master’s Degree in a program that covered these areas) I was very surprised at how much I didn’t know and how much I learned through Springboard.
The course work is challenging and have applied it to my current work on various projects. However, the most valuable aspect of my experience with this program was the mentorship I received as I completed the course. My mentor was someone who provide some of the most valuable advise and guidance with respect to business analytics. Being a business analyst himself it was great to hear about this field from someone who has been working with these concepts at such an advanced level.
I summarize this review by saying that my expectations were exceeded, I learned a lot, and I was able to apply the concepts and advise I received in this course immediately to my work. I whole-heartedly recommend this course if you are interested in learning about (or learning more about) business analytics. Enjoy!
July 17, 2020