Summary
  • Cost
    $0-$7,500
  • Programs Pace
    Self-paced
  • Payment Options
    Upfront, ISA, Financing, Scholarship
  • Programs Available
    UX Design, Data Science, Cybersecurity, Data Analytics
Description

Springboard is a San Francisco-based career bootcamp offering a total of eight career-track and career-track prep courses, six of which come with a job guarantee. Springboard’s technology-focused bootcamp courses include data science, machine learning, deep learning, user experience (UX) and user interface (UI) design, data analytics, and digital marketing. This online bootcamp takes a flexible approach to curriculum, allowing students to complete their classwork remotely and on their own schedule. In addition to the flexible schedule, students have access to a student advisor, personal mentor, the Springboard community, and a career advisor, all included with the program. Students can connect with their mentors via messaging and video calling throughout the program. Mentors are intended to provide technical advice, guidance, and problem-solving assistance during the course.

Additional Info

The course curriculum at Springboard varies widely between subtopics, but subjects such as data science (which have multiple bootcamp options) have many common elements. For example, data science students learn Python, databases, statistics, analysis, and more. Students can also opt to study machine learning or deep learning and cover many of the same foundational topics. Students interested in a data-related career path can choose the data analytics program, which covers Python, SQL, Tableau, and more. Some of the curriculum offered by Springboard, such as data analytics, was developed in partnership with Microsoft. The design programs at Springboard allow students to choose between user interface (UI) and user experience (UX) design, or to specialize in UX design alone. Students can take a quiz on the website to help narrow down their course options and find the best fit.

Course schedules also vary between course type. The part-time programs offered by Springboard last for six months. Students enrolled in a six-month data science program at Springboard are expected to spend between 15 to 20 hours per week to complete the course. Digital marketing students spend less time on coursework and generally devote between eight and ten hours per week to complete the course in six months. The program does not run on a rigid schedule, so individual time spent will vary. The prep courses last four to six weeks and students are expected to spend 10 to 15 hours per week on classwork. During those weeks, students spend 30 minutes per day, six days per week, talking to their mentor.

Springboard offers six courses with job guarantees. These include UX design, UX and UI design, data science, machine learning engineering, deep learning, and data analytics. According to the student outcome statistics published on Springboard’s website, 1,450 students had an average salary increase of $26,000 after graduation, without a single job guarantee refund requested (May 2019) since the inception of the program.

Tuition varies between courses, but students have multiple ways to pay. The least expensive option is to pay tuition in full upfront. Students can also opt for a month-to-month financing plan if they qualify. Additionally, Springboard offers a deferred tuition plan that goes into effect only after students land a job. Students begin paying when they’re hired and pay off the class for a total of one year. Students can also apply for a Climb Credit loan. Payments begin while the student attends classes, but monthly prices are reduced (interest only) until after graduation. Students must apply for all financing plans to determine their individual eligibility and interest rates. Scholarships are also available to some people.

Programs Pace

Self-paced

Programs Available

UX Design, Data Science, Cybersecurity, Data Analytics

Subjects
Financing Options

Upfront, ISA, Financing, Scholarship

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  • Kathie Fitzpatrick
    November 10, 2019 at 11:55 pm

    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!

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  • Anonymous
    November 14, 2019 at 7:25 am

    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.

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  • Brandon Goei
    November 17, 2019 at 8:48 pm

    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.

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  • Jose Reyes
    November 18, 2019 at 3:32 am

    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!

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  • Azi Khastoo
    December 3, 2019 at 5:59 am

    it was an excellent program if you want to make or improve your portfolio. Mentors are very good and knowledgeable.

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  • Josh Maynard
    December 7, 2019 at 5:01 am

    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.

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  • Logan Rudd
    December 12, 2019 at 7:09 pm

    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!

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