Become a data scientist while traveling the world.

With the Springboard + Remote Year Live and Learn program, you’ll launch your data science career while experiencing and immersing yourself in other cultures. 

In partnership with 

How the Springboard + Remote Year Live and Learn program prepares you for a career in data science

Learn in-demand data science skills while gaining global exposure

Master foundations of data science while traveling the world and choose your area of focus: advanced machine learning, NLP, or deep learning.

All the human support you need

What you'll learn


My Remote Year journey and my loving new family taught me how to take care of myself; how to be my own star player and biggest fan. They taught me to love myself; to trust myself and my talents. They helped build my self-esteem. They fortified the confidence, peace, and strength within me and in others. I couldn’t have asked for a better year.


Payment options



1:1 unlimited mentorship and career support from the best—job guaranteed

To support your career goals while in the program, you’ll have 1:1 mentorship and career support. If you don’t get hired within 8 months of completing the course, you’ll get a full tuition refund.

Gain access to two vibrant communities of professionals

While you study, you’ll be traveling with other students from your cohort, along with entrepreneurs and creators who will encourage you to do things you never thought possible.

Upcoming travel itineraries for the Springboard + Remote Year Live and Learn program

Get a detailed course syllabus:

We'll be there to support you at every step of the way. Here's how:
Each week, as you progress through the curriculum and your projects, you'll get unlimited 1:1 mentor support from data science experts, including a weekly standing call with your personal mentor who knows you and your learning objectives. During your calls, you set the agenda so you can get personalized help on course materials, feedback on your projects, or ask for career advice. The time is yours.
1-to-1 mentorship from a data science expert
Traveling with other students
As you work through the curriculum and traveling through Latin America or Asia, you’ll have the chance to form study groups with other students, provide support and accountability to one another as you complete projects and begin your job search.
Student advisor, community managers, and program leader

Your advisor will be there to support you, with tips on everything from time management to navigating the course. Stuck? Community managers are there to help you work through the course. Think of them as your own personal support team. While on the ground, you’ll have a program leader and local staff for traveling and communication support.

See what Remotes are saying about traveling with Remote Year

Sure, I could travel abroad by myself for cheaper than Remote Year, but the value of the friendships I have made in Remote Year and the connections I have made through the Remote Year network at large enrich my experience in the moment, and will continue to do so for years to come. I wouldn’t have it any other way.

Back in Jersey, I thought I was happy; I thought I was motivated. After just one week on Remote Year I thought, 'How the hell haven't I done this sooner? This is amazing.' I can't imagine going back to that life. I'm the happiest and most inspired I've ever been in my life.

Erica Brooks

Creative Director

Eddie Contento


Climb Credit loan

Finance your travel and education with monthly payments. Pay $1,500 at the time of enrollment. Monthly payments vary based on approved interest rate. 

Click here to read the terms of the refund policy.

Is the Springboard + Remote Year Live and Learn program right for me?

The study and travel program for data science is a 4-month program. As a student in the program, you’ll have a unique opportunity to immerse yourself in other programs while studying with like-minded individuals. Don't worry about the logistics. Remote Year arranges all the travel and experiences, and we’ve partnered with Climb Financing to provide flexible payment options.


View itinerary

January 27 - May 25, 2019

Frequently asked questions

1. What are the eligibility criteria and terms for the job guarantee?

A career transition into data science is exciting, but involves focused and consistent effort. We are thrilled to have your back in this journey and ask for an equal commitment from you. In order to be eligible for this job guarantee, you should:

  • be 18 years or older.
  • hold a bachelor’s degree from any educational institution in any subject, which is still a requirement by most employers for these roles.
  • be proficient in spoken and written English, as determined by initial interactions with our admissions team.
  • be eligible to legally work in the United States (or Canada if applying for positions in Toronto) for at least 1 year following graduation from the program. See the detailed policy for further requirements about specific Visa types.
  • be able to pass any background checks associated with jobs that you apply for.
  • apply to positions, dedicate sufficient time and effort, and follow the job search process recommended to you by our career coaches.

Note that while our different specialization tracks prepare you for a career in a specialized field, we cannot guarantee that your first data science position will be in that field.

Read the full eligibility criteria and terms here.

The Python Data Science Stack

Learn to program in Python (lingua franca of data science), how to follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools

Topics covered: 

  1. Python data science stack
  2. Writing clear, elegant code


16+ hours
The curriculum is split into 6 units, followed by your capstone project and career advice.

Curriculum - what you'll learn

Learn the most common tools and workflows in Python that make tasks such as acquiring raw data, cleaning it, and getting it into a format amenable for analysis much easier.

Topics covered: 

  1. Pandas for data wrangling 
  2. Data in files and databases 
  3. APIs: Collect data from the internet
Data Wrangling


44+ hours

Data science is also about telling a good story. A data story is a powerful way to present insights to your clients, combining visualizations and text into a narrative. 

But storytelling is an art, and needs creativity. This section will try to get your creative juices flowing by suggesting some interesting questions you can ask of your dataset, and a few plotting techniques you can use to reveal insights

Data Story
10+ hours


Statistics is the mathematical foundation of data science. Within statistics, inferential statistics is a set of techniques that helps us identify significant trends and characteristics of a data set. Not only is it useful to explore the data and tell a good story, it also paves the way for deeper analysis and actual predictive modeling. 

Statistical Inference
16+ hours

Topics covered: 

  1. Theory of inferential statistics 
  2. Parameter estimation 
  3. Hypothesis testing 
  4. Exploratory data analysis


Machine learning combines aspects of computer science and statistics to make useful predictions and recommendations, or automatically find groups and categories in complex data sets. In this module, we'll cover the major machine learning techniques. 

Topics covered: 

  1. Scikit-learn 
  2. Supervised and unsupervised learning 
  3. Top machine learning techniques  best practices
  4. Evaluating and tuning machine learning systems
Machine Learning
60+ hours


In this unit, you’ll take all the Data Science and Machine Learning techniques you’ve learned, and apply them to large-scale data sets, using state-of-the art tools and libraries. You’ll also learn about best practices in taking a Machine Learning prototype to production.

Topics covered:

  1. Work with MapReduce, one of the most popular algorithms for large-scale data manipulation
  2. Understand NoSQL databases and how they differ from SQL
  3. Learn Spark, the state-of the-art in distributed computing frameworks
  4. Learn SparkML and MLlib to implement Machine Learning at scale on Spark
Data Science at Scale
10+ hours


Apply to the Springboard + Remote Year Live and Learn program

Full refund within 30 days of program starting. View the complete refund policy here.

Tuition refund if you don’t get a job within 8 months of completion.

Complete the course full-time in 4 months. You can pay up front or with Climb Credit financing.

The Admissions Process

This data science bootcamp is for people with a prior background in statistics and programming. We've taught software developers, grad students, analysts, and BI/finance professionals. 


Strong background in probability & statistics

Comfortable programming in any language

Write to or schedule a call with Katie, our admissions manager, who will help you think through your decisions.

Not sure if your background is a fit?

In three simple steps, you can start your journey to a data science career while traveling abroad.

Submit your application

Pass the challenge

Reserve your spot

Fill out our application form to get started. There is no application fee. It takes about 10-15 minutes. You should expect a reply in 2-3 business days.

If it's a fit, we'll send you a challenge to test your statistics and programming knowledge. Applicants spend up to 3 hours on the challenge.

If you pass the challenge, we will send you a registration link. Choose the itinerary start date and payment plan that works for you (we can help!).

Student outcomes


Total students

who have enrolled in the Data Science Career Track since its launch in 2016


Average salary increase

as reported by 64 of 84 students who accepted a job offer



requested by job guarantee eligible students through May 27, 2018

You'll meet 1-on-1 with your dedicated career support coach throughout your learning experience and they'll share personalized, career-advancing tips and advice at strategic points throughout the course.

Job support from personal career coach

2. What are the accommodations?

Accommodations vary from city to city, but we always provide Remotes with a private bedroom in a Remote Year-sourced apartment. Remote Year provides linens, towels, and an Internet connection in all accommodations. If you have any lodging preferences or special needs, we’ll do our best to prioritize those requests.

3. What is included in the in the travel + learn price?

Your tuition includes:

  • Travel accommodations, including transportation and hotels.
  • 500-600 hour curriculum of technical and career materials curated by industry experts.
  • Weekly 1:1 video calls with your personal mentor.
  • Access to quiet work spaces near your accommodations.
  • Unlimited mentor calls outside of 1:1 mentor calls.
  • Access to an exclusive community of mentors, career coaches, and peers.
  • Dedicated community managers to answer questions and give feedback on projects within a day.
  • Remote Year program leader for each group, plus local staff on the ground in each city for safety and communication support.
  • Hands-on learning through projects.
  • Personalized feedback to help you polish your resume, portfolio, and social profiles.
  • Cultural, educational, and social activities organized into Multiple Tracks™.
  • 1-on-1 sessions with a data science career coach to personalize your pitch and job-search strategy.
  • Interview practice via 1-on-1 mock interviews (behavioral and technical).
  • Exclusive access to Springboard’s employer network.
  • All taxes and fees. There will be no additional costs! 

4. Do I need visas?

We aren’t immigration/visa professionals, and the following shouldn’t be construed as visa, immigration, or legal advice rendered by Remote Year.

As a general rule, whether or not you need a visa depends on what country you’re from and which countries your Remote Year trip is traveling to. While some participants may need a visa to enter certain countries, many countries have visa waiver programs for tourists. To date, Remote Year has traveled to more than 20 countries with people holding more than 30 types of passports and we’ve found the process to be quite smooth.

There are also private companies, like VisaHQ, that can help you determine what visa (if any) you may need (they do this part for free), and also help you obtain any visas you may need (this part isn’t free).

5. How many hours is the curriculum?

The Data Science Career Track curriculum is a 500-600 hour course. You will complete the course in 4 months, working 40-50 hours per week while traveling.

6. What does the curriculum contain and how do I know it is the best?

We work with industry experts to determine the most relevant topics in Data Science, and find the best resources on each topic (e.g., videos, tutorials, and lectures).

Note that many of the videos and resources in the curriculum are not created in-house by us. Instead, we find and curate the best resources available on the subject. Think of us as a college professor who creates a syllabus by combining the best textbook chapters, articles, papers, and projects (instead of teaching from only their own textbook).

We believe that the curated curriculum is our unique strength. By standing on the shoulders of giants, we’re able to update the curriculum frequently, and always teach the latest tools and technologies.

7. What kind of support can I expect with the Springboard + Remote Year travel and learn program?

You’ll have support from:

  • Your mentor:  A data science expert will provide weekly 1:1 guidance and accountability in a 30-minute call.
  • Unlimited mentor calls: Outside of your weekly 1:1 mentor call, you’ll also have unlimited mentor calls to get extra support as needed.
  • Prep resources: Support from the Remote Year onboarding team with all of the details you will need leading up to your travels (visas, immunizations, packing, connectivity).
  • Community teaching assistants: Dedicated help any time you’re stuck, and available to offer detailed, unlimited feedback on each project.
  • Unlimited career coaching sessions: Your career coach will help with resume reviews, mock interviews, job search strategy, etc.
  • Springboard student advisors: Our advisors are here to provide unlimited support and answer questions, discuss goals, and provide tips and support on any aspect of the program. 
  • Local & Traveling Staff: Remote Year program leader for each group, plus local staff on the ground in each city for safety and communication support.

And finally, your classmates: You can form study groups, get feedback, and work on projects together! We have an active online community that you’ll receive lifetime access to.


View itinerary

March 3 - June 29, 2019

Springboard helped with career prep and the job search where we were exploring different companies I'd be interested in. We also did mock interviews, technical interviews, and take-home coding exercises. They put me in contact with a few different employers.

Justin Knight

Principal Data Scientist

Meet a few of our data science bootcamp alumni

Springboard has given me the opportunity to update my technical skills and my interviewing skills, which gave me the edge in being hired for this position with Verizon.

Working through exercises and lessons produced by multiple institutions or individuals accelerates the learning by exposing you to different approaches to data science concepts and techniques. Having a human mentor likewise accelerates the learning cycle by making sure you don't get stuck and lose motivation.

Karen Masterson

Data Analyst

Ledger West

Senior Data Scientist

Jacri Stubbs

8. How do I earn a certificate of completion?

We will provide a certificate of completion to all students who complete the course and receive mentor approval on their final project(s). You can display your certificate on LinkedIn via our integration, or add to your resume.

9. Is this course conducted online or in person?

All of our courses are entirely online. All you need is an internet connection.

10. Are there any prerequisites for this course?

You should have a strong background in probability and statistics, and should be very comfortable enough in programming to pick up a new language using resources on the web. If you do not meet these requirements, please check out our Introduction to Data Science workshop instead.

11. How does the admissions process work?

Spots are limited and we accept candidates on a rolling basis. We have a multi-step applications process. The first step involves a 10-15 minute questionnaire to learn about your prior educational and work experience. Based on your responses, we might ask for additional information (e.g., a brief phone interview, or a quick coding and statistics challenge) just to make sure the Data Science Career Track is a good fit for you.

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