Frequently Asked Questions

What kind of support can I expect?

You’ll have support from:

Your mentor: A professional, industry expert will provide regular 1:1 guidance and accountability in a 30-minute video call at a time that works for your busy schedule.

Community teaching assistants: Dedicated help when you’re stuck and detailed feedback on each project.

Career coaches: Your career coach will help with resume reviews, mock interviews, job search strategy, etc.

Student advisors: Our advisors will answer questions, discuss goals, and provide tips and support on any aspect of the program.

And, finally, your classmates: You can form study groups, get feedback, and work on projects together!

How do I earn a certificate of completion?

You will receive a certificate of completion from Washington University upon graduating.

Are these courses conducted online or in person?

The course is completely online. All you need is an internet connection.

Is this program full-time or part-time?

Our programs are designed to go “at your own schedule.” Most students spend 15-20 hours/week, but the program is asynchronous. So if you want to spend more time, you can finish it faster than average with the continued aid of our support teams.

Do I need to purchase any software to take a program?

All of the tools required to complete our programs successfully are included in the tuition.

I’m interested in multiple programs and I don’t know which is the right fit. Who can help?

Our enrollment advisors are here to help you with these tough questions. After you submit an application to any of our programs, our team of aenrollment advisors would like to schedule a call with you to make sure you're a good fit for the program, but also help you find the right program for your career goals.

Fill out an application to any of our programs, and we’ll help you with these questions.

Is this program really offered by Washington University?

Yes, this program is offered by the Washington University Technology & Leadership Center and is powered by Springboard, an online-first global education provider.

This partnership creates the opportunity for learners to build and advance their technical skills while earning a professional certificate of completion from Washington University.

Don’t see your question here? Contact us!

Our Enrollment Advisors can help you decide if one of our bootcamps is the right course for you.

Reach out at washu@career-bootcamp.com

Data Science Boot Camp

How long does this course take?

We expect most students will complete the course in 9 months studying between 15-20 hours per week. The curriculum is built to teach you the skills needed to land a job. 

How does the admissions process work?

Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process.

1. Interview via phone with an Enrollment Advisors

If your application and profile meet certain standards, we'll soon reach out by phone for a fit interview - be ready for a call shortly from a number with either a local area code or a 314 area code. This interview is required to gain provisional acceptance into the program.

2. Complete the technical skills survey

In parallel with your fit interview, we'll send you a survey via email to assess any knowledge gaps you may have before the program begins. Plan to complete this within 24 hours - most applicants take about 1 hour to do this.

3. Reserve your seat

Our program is very selective. If you are accepted, we will send you a registration link via email, to fill out within 24 hours. You will choose a start date and payment plan, and fill out your student profile to complete your enrollment and be eligible for mentor matching.

How do the tuition payments work?

We offer three payment options. Explore detailed payment options on the data science boot camp page, or speak to an enrollment advisor to learn more.

Upfront payment: You pay a discounted total payment upfront.

Month to month: Pay in five payments while in the program.

Climb Credit loan: Pay a deposit at the time of enrollment, and make payments for a duration of 12 months.

How soon can I find a job?

Within the course, optional career units are offered. You can also work 1:1 with your career coach to create a successful job search strategy, build your network, craft a data science resume and LinkedIn profile, practice mock technical and behavioral interviews, debrief after actual job interviews, and negotiate your salary. We expect you can land a job within six months of course graduation.

What are the prerequisites for admission?

This boot camp is designed for students who have:

  • English fluency (spoken and written), as determined by interactions with the enrollment team

  • Proficiency in math and statistics

During the application process, you’ll take a technical skills survey to determine your starting line:

  • Students without prior coding experience, with proficiency in math and statistics will be provided units that cover essential data science concepts, including Python, which you’ll need to succeed in the core curriculum.

  • Students with prior experience in statistics and programming, such as software developers, analysts, and finance professionals, will have access to the same introductory units, but they will be optional. You’ll be able to move right into the core curriculum. 

Data Engineering Boot Camp

How long does this course take?

We expect most students will complete the course in 6 months studying between 15-20 hours per week. The curriculum is built to teach you the skills needed to land a job. 

How does the admissions process work?

Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process.

1. Interview via phone with an Enrollment Advisor

If your application and profile meet certain standards, we'll soon reach out by phone for a fit interview - be ready for a call shortly from a number with either a local area code or a 314 area code. This interview is required to gain provisional acceptance into the program.

2. Complete the technical skills survey

In parallel with your fit interview, we'll send you a survey via email to assess any knowledge gaps you may have before the program begins. Plan to complete this within 24 hours - most applicants take about 1 hour to do this.

3. Reserve your seat

Our program is very selective. If you are accepted, we will send you a registration link via email, to fill out within 24 hours. You will choose a start date and payment plan, and fill out your student profile to complete your enrollment and be eligible for mentor matching.

How do the tuition payments work?

We offer three payment options. Explore detailed payment options on the data engineering boot camp page, or speak to an enrollment advisor to learn more.

Upfront payment: You pay a discounted total payment upfront.

Month to month: Pay in five payments while in the program.

Climb Credit loan: Pay a deposit at the time of enrollment, and make payments for a duration of 12 months.

How soon can I find a job?

Within the course, optional career units are offered. You can also work 1:1 with your career coach to create a successful job search strategy, build your network, craft a data science resume and LinkedIn profile, practice mock technical and behavioral interviews, debrief after actual job interviews, and negotiate your salary. We expect you can land a job within six months of course graduation.

What are the prerequisites for admission?

This boot camp is designed for students who have:

  • English fluency (spoken and written), as determined by interactions with the admissions team

  • Proficiency in math and statistics

  • Applicants with professional work experience in any analytical role, ideally working with SQL or as a software engineer using Python or Java or C++ or Bachelor’s degree in CS or other degree that involves extensive programming skills are preferred

  • Self taught programmers who pass the technical skills survey can also enroll in the program

Request a Syllabus

Programs

This program is offered through the Washington University in St. Louis McKelvey School of Engineering in partnership with Springboard.

Washington University in St. Louis Technology and Leadership Center Lopata Hall, 5th Floor MSC 1141-0122-05 St. Louis, MO 63130

Copyright © 2023

Powered by Springboard

This program is offered through the Washington University in St. Louis McKelvey School of Engineering in partnership with Springboard.

Washington University in St. Louis Technology and Leadership Center Lopata Hall, 5th Floor MSC 1141-0122-05 St. Louis, MO 63130

Copyright © 2023

Powered by Springboard