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THE ONLY ACCREDITED

Data Science

Bootcamp

The Metis 12-week live online data science bootcamp is an immersive program designed to give you the skills and connections you need to launch a career in data science. Career Advisors are dedicated to helping students and grads get hired, while Data Scientists bring real-world experience to the classroom and guide students as they use real data to build a 5-project portfolio.

APPLY

Upcoming

Program Dates

Sept 21 to Dec 11

Final App Deadline: Aug 24, 2020

APPLY NOW

Jan 4 to Mar 26

Early App Deadline: Nov 9, 2020

APPLY NOW
Questions?
Schedule a Call

Upcoming Program Dates

Sept 21 to Dec 11

Final App Deadline: Aug24, 2020

APPLY NOW

Jan 4 to Mar 26

Early App Deadline: Nov 9, 2020

APPLY NOW

Sept 21 to Dec 11

Final App Deadline: Aug24, 2020

APPLY NOW

Jan 4 to Mar 26

Early App Deadline: Nov 9, 2020

APPLY NOW
Questions? Schedule a Call

All data science bootcamps are not created equal.

LEARN WHY

Student Experience

See how our Live Online technologies bring the student experience to life.

Follow along during lecture as your instructor shares their screen.

Interact with your instructors and peers on video, in the chat, and via polling.

Real-time whiteboarding simulates the classroom learning experience.

Connect and collaborate with classmates during pair-programming, project work and fun activities.

Connect with your instructors and classmates in your cohort’s dedicated Slack channel.

Here's what you'll learn at the bootcamp.

Metis is the only accredited data science bootcamp, which is taught by Data Scientists with deep industry experience. The Metis program combines traditional instruction in theory and technique with a project-based approach. Each project is a start-to-finish application of the skills needed to be a well-rounded, competitive practitioner in the data science workforce.

ONLINE

PRE-WORK

PROJECT 1:

Exploratory Data Analysis

PROJECT 2:

Regression & Web Scraping

PROJECT 3:

Classification & Interactive Dashboards

PROJECT 4:

Natural Language Processing & Unsupervised Learning

PROJECT 5:

Passion Project

Online

Pre-Work

ONLINE PRE-WORK

30 hours minimum of academic pre-work and variable hours to setup.

Project 1:

Exploratory Data Analysis

WEEK 1: INTRODUCTION TO THE DATA SCIENCE TOOLKIT

Python, Bash Shell, Git & Github workflow, data wrangling and EDA (Exploratory Data Analysis) with Python, pandas, and Matplotlib

Project 2:

Regression & Web Scraping

WEEK 2: LINEAR REGRESSION, DESIGN PROCESS & WEB SCRAPING

Linear regression theory/application, web scraping via BeautifulSoup and Selenium, machine learning concepts (overfitting and train/test splits)

Week 3: Statistics Review, Intro Machine Learning & Communicating Results

Intro to time series modeling, statistics review, intro to Bayes Theorem, linear regression regularization, hypothesis testing

Project 3:

Classification & Interactive Dashboards

Week 4: Databases, Machine Learning Concepts, More Supervised Learning

Classification and regression algorithms (Knn, logistic regression, SVM, Naive Bayes), SQL concepts, cloud servers

WEEK 5: SUPERVISED LEARNING & VISUALIZATION

More algorithms (Classification and regression trees, Random Forest), interactive visualization with business intelligence tools, web dev essentials, Flask

WEEK 6: INTRODUCTION TO NLP, NoSQL & UNSUPERVISED LEARNING

NLP (textblob, NLTK, chunking, stemming, POS tagging, tf-idf) data & databases (RESTful APIs, NoSQL databases, MongoDB, pymongo), k-means

Project 4:

Natural Language Processing & Unsupervised Learning

WEEK 7: MORE NLP, NoSQL, UNSUPERVISED LEARNING

More clustering algorithms (DBSCAN), machine learning topics (curse of dimensionality, dimension reduction, PCA, SVD, LSI), intro to deep learning & neural networks

WEEK 8: HANDLING BIG DATA

A/B testing experiment design and interpretation, distributed databases (Dask, Hadoop, HiveQL)

Project 5:

Passion Project

WEEK 9: BIG DATA MACHINE LEARNING, DEEP LEARNING, ETHICS & BEGIN PASSION PROJECT

PySpark, deep learning (CNNs, RNNs) data ethics, MapReduce algorithm, and final project initiated

WEEK 10-12: COMPLETE FINAL PROJECT & CAREER READINESS

While completing your final project, work with your career advisor during one-on-one meetings and mock interviews. You'll also record your final project presentation for our Graduate Directory, which we share with companies actively seeking data scientists.

Career support until you’re hired.

Our Career Advisors are dedicated to helping students and grads get hired. Participate in weekly workshops plus mock technical interviews and more to ensure you’re ready upon graduation.

Workshops

Engage in workshops like resume writing, networking, interview preparation, and more.

One-On-One

Discuss salary, location, industry, and culture to best align you with the right company and career.

Speaker Series

Learn from industry experts through our Speaker Series, where we invite guests to share their experiences.

Passion Projects

Present your final passion project and we’ll get it in front of hiring companies to facilitate introductions

Mock Interviews

Participate in a practice technical interview with professional data scientists to prepare yourself.

Post-Grad Support

Get one-on-one career support until you’re hired and use our custom built Alumni Portal to find roles.

Some of the companies where our alumni work.

Program Schedule & Details

Course Details

12-week, Live Online Bootcamp

Program Schedule Options*:

  • 9:30am - 5:30pm ET
  • 11:30am - 7:30pm ET

*Includes independent project work and lunch time.

PREREQUISITES

Experience with programming and stats

Tuition

$17,000

AVG RATING
4.89
AVG RATING
4.8
AVG RATING
4.91

Multiple ways to pay tuition

Pay Upfront

Tuition $17,000

Installment Plans

Work with our team to identify zero interest payment plans that work for you.

Third Party Financing

We partner with Skills Fund, an innovative financing company that offers multiple financing options for students accepted to our bootcamp.

The Metis Scholarship

We offer a $3,000 scholarship for women, members of underrepresented groups, the LGBTQ community, or veterans of U.S. military personnel. Learn more by visiting our Diversity page.

Don’t feel ready to apply? Explore our prep courses and free resources.


COMPARE YOUR OPTIONS

Meet the Data Science Bootcamp Team

Meet Our Alumni

Our network of 1,100+ bootcamp alumni now work all over the globe. We’re proud to feature their stories highlighting the many paths to becoming a data scientists.

Laura

Chen

Data Scientist, Spotify

New York, Winter 2018

Read their story

Alex

Smith

Data Scientist, Socos Labs

San Francisco, Winter 2018

Read their story

Chris

Gillespie

Data Scientist, United Airlines

Chicago, Winter 2018

Read their story | Watch Video

Nathan

Maton

Data Scientist, Omada Health

San Francisco, Winter 2019

Read their story

Tiffany

Moeller

Software Engineer, Cloudflare

Chicago, Winter 2018

Read their story

Alexandra

Fox

Data Scientist, PAX Labs

San Francisco, Winter 2019

Read their story

Jeff

Kao

Computational Journalist, ProPublica

San Francisco, Fall 2018

Read their story

Emy

Parparita

Software Engineer - ML, Quora

San Francisco, Winter 2018

Read their story

Kai-Ray

Wang

Analytics Manager, NY Times

New York, Fall 2017

Read their story
VIEW ALL ALUMNI
Brennan Biddle,
CAPITAL ONE

“We’ve been working with Metis for a few years now across several different geographies. Their talent bar is extremely high, and we repeatedly hire very strong candidates from them. Their curriculum, staff, and career partners tend to produce candidates that pass our rigorous interview process and then hit the ground running once they start.”

Brennan Biddle,
CAPITAL ONE

Data Science Bootcamp Application Process

1

SUBMIT YOUR

APPLICATION

2

COMPLETE TECHNICAL

ASSESSMENT

3

INTERVIEW WITH

A DATA SCIENTIST

4

WELCOME

TO METIS!

SUBMIT YOUR

APPLICATION

Our applicants come from diverse backgrounds. We recommend you at least have some experience with programming and statistics. Upon submitting your application, you will be matched some alumni with similar backgrounds so that you may reach out if you’d like to get their experience in the bootcamp.

1

SUBMIT YOUR

APPLICATION

Our applicants come from diverse backgrounds. We recommend you at least have some experience with programming and statistics. Upon submitting your application, you will be matched some alumni with similar backgrounds so that you may reach out if you’d like to get their experience in the bootcamp.

2

COMPLETE TECHNICAL

ASSESSMENT

After initial review of your application, our team will invite you to complete a technical assessment. It features a mix of questions in math, statistics, python, and basic intuition in working with data.

3

INTERVIEW WITH

A DATA SCIENTIST

Once you’ve successfully completed your challenges, you’ll get an opportunity to interview with a Data Scientist to further dive into your technical background, discuss your goals, and brainstorm on your project idea.

4

WELCOME

TO METIS!

Congratulations on making it into one of our Bootcamps! We pride ourselves on having a highly selective and rigorous admissions process. This in part ensures you and your peers are setup for success. Now the real fun begins; Complete the pre-work materials in order to feel prepared and ready to tackle day 1!

Upcoming
Program Dates

Schedule a Call

Sept 21 to Dec 11

Final App Deadline: Aug24, 2020

APPLY NOW

Jan 4 to Mar 26

Early App Deadline: Nov 9, 2020

APPLY NOW

One Hour at Bootcamp: Intro to Clustering

EVENT

One Hour at Bootcamp: Intro to Clustering

During this recorded workshop, Roberto Reif, Executive Director of Data Science here at Metis, introduces you to an unsupervised machine learning algorithm used for clustering, called k-means.

GET RECORDING
EVENT

Prepare to Apply

Learn about the free tools and live online courses available to help you prepare to apply.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only five percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Explore Bootcamp Prep

Take The First Step

Ready to take the first step toward becoming a Data Scientist? Start your application.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only five percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Apply today

Chat With Admissions

Have more questions about our data science program? Our admissions team is happy to speak with you.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only five percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Schedule a Call

FAQs about the Metis Immersive Data Science Bootcamp

  • **Learn more about recent changes at Metis.**

  • 1. Who can apply to the live online bootcamp?

    We are currently able to accept applicants for the live online bootcamp from only the following states. We are seeking to gain approval in the remaining states and will keep the list up to date here. If you’d like to receive an update from our Admissions team when we receive approval to accept applicants from your state, please email [email protected]

  • 2. Can you describe the live online bootcamp experience?

    The live online bootcamp is held virtually using Zoom. Instruction will be delivered in real time with live simulcast lectures. Students will interact with their Instructors, Teaching Assistants and classmates using Zoom and Slack. Lectures will take place in the main zoom room, and breakout zoom rooms will be used for live online students to collaborate during pair programming exercises and for 1:1s with their Instructors and Teaching Assistants.

  • 3. Is this a full-time commitment?

    Yes, it requires a full-time commitment Monday through Friday. The bootcamp is offered on two different schedules so you can apply to the one that best meets your needs: 9:30 - 5:30 ET and 11:30 - 7:30 ET.

  • 4. What if I don’t feel prepared to apply for the bootcamp right now?

    If you’d like to enhance your math, python, and overall data science skills prior to applying, we’d recommend considering one of our part-time bootcamp prep courses. Gain the skills you need, and apply your tuition paid from one course towards the bootcamp.

    Or sign up for our Metis Admissions Prep and develop your data science fundamentals for free!

  • 5. Does this program guarantee a job at the end?

    No, a job is not guaranteed. However, we do guarantee to:

    • Work insanely hard to provide you with a great data science learning experience.
    • Introduce you to many hiring partners who are looking to hire data science professionals.
    • Provide post-session support and professional development through our Careers Team.
  • 6. What are the payment options for the bootcamp?

    Tuition for the Metis Data Science Bootcamp is $17,000. A deposit of $1,500 is required within 7 days of signing the enrollment agreement to secure a spot. After making the deposit, students have the option of paying in three monthly installments or through SkillsFund, our third party financing partner. 

  • 7. Are there any scholarships to the bootcamp?

    Yes. Women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military are eligible to receive a $3,000 scholarship toward their Metis Data Science Bootcamp tuition.

    *Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

  • 8. What hardware and software do I need?

    You will need a strong internet connection, a free Zoom account, and a computer. Your computer needs to run OS X and have at least 4GB RAM, 2GHz, and a 100 GB HD. Alternatively, if you are a Windows user and your computer is fairly powerful, you could run a Linux Virtual Machine inside your normal Windows install. This requires some configuration. We strongly recommend students to use a MAC.

  • 9. What types of backgrounds do alumni have?

    Our more than 1,100 alumni have diverse educational and professional backgrounds. From finance to analysis, and academia to marketing; We’re proud to feature their stories and highlight the many paths to becoming a data scientist. Learn more about our alumni and their backgrounds by reading our infographic: Metis Bootcamp Alumni By The Numbers.

  • 10. Why should I enroll in a bootcamp instead of a master’s program or self-study?

    We know everybody learns differently, and like to highlight that bootcamps aren’t for everyone; Likewise, master’s programs or self-study might not be for you either. Aside from the differences in length and costs of a master's program, we've seen that most master's programs tend to be more theoretical, while Metis has a higher emphasis on the practical application of data science, getting you ready to re-enter the workforce with all the necessary skills. Similarly, self-study can be great for some, but we’ve learned that many students come to us because of the need for a structured learning environment. 

ADDITIONAL FAQ

Questions?

Read our FAQs

Vinny Senguttuvan

Senior Data Scientist

Vinny enjoys the nexus of mathematics, computer programming, human perception and arts. 

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Alice Zhao

Senior Data Scientist

Alice enjoys making complex things easy to understand and is passionate about teaching and mentoring, and loves using data to tell fun and compelling stories. 

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Joe Eddy

Senior Data Scientist

Joe loves tackling unusual problems with the tools of data science and has a passion for effectively communicating quantitative ideas.

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Kimberly Fessel

Senior Data Scientist

Kimberly is passionate about data storytelling and the power of compelling data visualizations to challenge pre-conceived assumptions. 

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Richard Chiou

Data Scientist

As a former teacher assistant for several courses at Columbia, Richard is excited to share his knowledge of data science, academic and industrial, with aspiring data scientists of all backgrounds.

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Chris Bruehl

Data Scientist

Chris Bruehl, a Data Science Instructor, enjoys empowering others to turn data and algorithms into clear business results.

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Joan Wang

Data Scientist

Joan comes to Metis from Omelas, where she built machine learning models and data pipelines that map the online information environment around geopolitical actors. 

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Leon Johnson

Data Scientist

Leon is a creative deep thinker who has made it his mission to bridge the gap between application and aesthetic in data science.

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Brian McGarry

Data Scientist

Brian's main interests in data science are interpretability and bayesian statistics.

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Jennifer Raimone

Director of Career and Student Support

Jennifer enjoys creating individualized career plans designed to breakdown the job search process and distinguish you from your competition.

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Ashley Purdy

Career Advisor

Ashley is a passionate Career Advisor who enjoys helping job seekers realize their full professional potentials and loves assisting them with finding their dream careers.

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Jesel Roosevelt

Program Manager

Jesel enjoys using every possible resource to help others recognize their talents and improve their outcome for success.

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Caroline Csernus

Program Manager

Caroline is passionate about forming meaningful relationships with students and helping them reach their greatest potential.

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Stephany Bittar

Program Manager

Stephany is a numbers girl with a passion for statistics, social entrepreneurship, and education.

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