FIU Data Science Bootcamp Application Deadline is Oct. 3 - Apply Now

We are currently able to accept applicants for the live online bootcamp from the states listed below. We still encourage you to submit an app even if your state is not listed so we may notify you when we are able to move your application forward.

Arizona

Arkansas

California

Colorado

Connecticut

Delaware

Hawaii

Illinois

Indiana

Louisiana

Maine

Maryland

Massachusetts

Minnesota

Mississippi

Missouri

Montana

Nevada

New Hampshire

New Jersey

New York

North Carolina

North Dakota

Ohio

Oregon

Pennsylvania

South Carolina

South Dakota

Tennessee

Vermont

Virginia

Washington

West Virginia

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DATA SCIENCE & ENGINEERING BOOTCAMP

Jumpstart Your Tech Career

Become a competitive job applicant in the data engineering field with the Metis Data Science and Engineering Bootcamp. This program consists of expert-led classes and five projects, plus a full Career Week where we’ll help prepare you to find a job in the field.

Acquire In-Demand Tech Skills and Transform Your Career

Our bootcamp will teach you how to use and leverage essential data engineering skills—but we don’t stop there. Our career advisors will take over the week after graduation to help you land your dream role.

Expert Data
Science Instructors

Metis teachers aren’t just data scientists, they’re also experts at teaching and engaging students in an online classroom.

A Professional
Portfolio

Use the projects you complete during bootcamp to build a knock-out portfolio, and wow your interviewers.

Career Support Until
You’re Hired

Our career support is multifaceted. You’ll work with a dedicated advisor and get connected with our world-class hiring partners.

A Lifelong
Community

The Metis alumni community is something you want to be a part of. Connect, network, and make lifelong friends.

What You’ll Learn

MODULE 1 - 

Exploratory Data Analysis

MODULE 2 - 

Linear Regression & Web Scraping

MODULE 3 - 

Introduction to Data Engineering

MODULE 4 - 

Machine Learning Classification

MODULE 5 - 

NLP & Unsupervised Learning

UNIT 1: Exploratory Data Analysis Basics

Get a grasp on the basics of exploratory data analysis and how to use tools such as SQL and Python libraries.

UNIT 2: Exploratory Data Analysis Advanced

Understand advanced SQL and Python methods used in Exploratory Data Analysis.

Project Due:

You’ll extract insights from a messy dataset. You will also use Jupyter notebooks to write code, the pandas Python package to perform exploratory data analysis, and packages like Matplotlib to visualize results. Finally, you’ll work with an SQL-based relational database to obtain, clean, and maintain data.

UNIT 1: Linear Regression Basics and Web Scraping

Learn the basics of linear regressions, feature engineering and cross validation, and how to webscrape.

UNIT 2: Linear Regression Advanced

Learn about advanced methods in linear regression, including regularization and stochastic gradient descent. Plus, we’ll introduce you to time series regression methods.

Project Due:

You’ll solve a linear regression problem. You will gather data using web scraping tools and go in-depth into regression theory, practicing using python modules such as scikit-learn. Finally, you’ll apply foundational machine learning techniques such as validation and feature engineering.

UNIT 1: Advanced Coding and Cloud Computing

Learn advanced programming techniques, advanced database tools, cloud computing, and web application deployment.

UNIT 2: Big Data

Learn the techniques and application of big data handling tools.

Project Due:

You’ll develop a modularized data processing pipeline, incorporating tools such as cloud computing, relational and non-relational databases, web application deployment, and big data handling tools (Hadoop or Spark).

UNIT 1: Classification Basics

Learn basic classification models, classification metrics, and feature engineering for classification problems.

UNIT 2: Classification Advanced

Understand advanced classification models and how to work with imbalanced datasets.

Project Due:

You’ll solve a classification problem using algorithms such as KNN, logistic regression, Naive Bayes, decision trees, random forests, and gradient boosting. You’ll further explore the foundational concepts and techniques in supervised machine learning, determine the proper metrics to use for your modeling problem, and address potential challenges involving class imbalance.

UNIT 1: Natural Language Processing and Unsupervised Learning Basics

Learn the basics of natural language processing, recommendation systems, and dimensionality reduction. In addition, you’ll discover some basic clustering techniques.

UNIT 2: Natural Language Processing and Unsupervised Learning Advanced

Learn advanced clustering algorithms and natural language processing techniques.

Project Due:

You’ll analyze text data using NLP algorithms. You’ll then utilize different techniques for dimensionality reduction such as Principal Component Analysis, apply clustering algorithms such as K-means, and learn topic models such as Latent Dirichlet Allocation.

REQUEST CURRICULUM VIEW PROJECTS

Program Benefits

Our project-oriented, career-driven approach will take you to places you never thought you could go.

ONLINE FLEX FORMAT

Part-Time

Study on your own time with pre-recorded lectures. Structured modules, dedicated 1:1 instructor support, and assignment deadlines keep you on track.

Length

Weekly Time Commitment

Schedule

Lectures

Instructors

Office Hours

Instructor 1:1s

Projects

Project Presentations

Career Support

Get a Feel For Our Online Flex Programs

Online Flex

On-demand lectures let you study at your own pace.

Follow along during lecture as your teacher presents.

Assignment deadlines and topic modules keep you accountable and organized.

Interact with your teachers and peers through video, chat, and with the interactive polls.

Metis’s data scientists designed every aspect of this program—so you can deepen your learning effectively.

Our whiteboarding makes it feel like you’re actually in the classroom.

Connect with other students in the online platform, and schedule 1:1 time with your instructor.

Partner with classmates during project work, pair-programming, and more.

Tune in to live speaker presentations, attend social events, and more.

Use the dedicated Slack channel to chat with your instructors and classmates.

Meet Some of the Metis Instructors

Beyond their deep industry expertise, all Metis teachers must complete rigorous training so we can ensure they’re effective and engaging online instructors.

  • Rita Biagioli

    Data Scientist

Meet the Full Team

Career Support the Whole Way Through

Work with career advisors with unparalleled industry experience throughout the bootcamp and after graduation—until you’re hired.

During Bootcamp

ONE-ON-ONE GUIDANCE

A dedicated advisor will help you map out your desired job location, industry, salary, and company.

SPEAKER SERIES

Join our speaker events where industry experts will share their experiences and give you advice.

JOB SEARCH TUTORIALS

On-demand videos will teach you to build your online presence, craft a resume, and network effectively.

The Week After Bootcamp

WORKSHOPS

Join our expert-led workshops and learn how to network, write a great resume, and practice for job interviews.

MOCK INTERVIEWS

Mastering the interview process takes practice. Work with our experts to nail your technical and non-technical skills.

Until You’re Hired

GRADUATE DIRECTORY

You’ll be added to our graduate directory automatically. It’s a place for hiring managers to view your profile, read your resume, and review your portfolio.

CONTINUED SUPPORT

We’ll support you until you get a job. Period. Plus, you’ll get access to our Alumni Portal where opportunities are posted regularly.

Metis Grads Landed Jobs at These Top Companies

Our Alumni

The network of 1,200+ international alumni will inspire you. Read some of their profiles now.

Tiffany
Moeller

Software Engineer, Cloudflare

Winter 2018

Read their story

Sami
Ahmed

Commercial Solutions Engineer, Confluent

Fall 2019

Read their story

Alexandra
Fox

Data Scientist, PAX Labs

Winter 2019

Read their story

Leon
Rosenstein

Security Operations Manager, BNY Mellon

Summer 2018

Read their story

David
Luther

Back-End Developer, The Perduco Group

Fall 2017

Read their story
VIEW ALL ALUMNI

One Hour at Bootcamp: Intro to Machine Learning

EVENT

One Hour at Bootcamp: Intro to Machine Learning

During this recorded workshop, Joe Eddy, Senior Data Scientist and instructor here at Metis, provides you with a roadmap of the most important definitions and applications of machine learning.

GET RECORDING

WORKSHOP

Students' Frequently Asked Questions

  • Who can apply to the Data Science and Engineering Bootcamp?

    We are currently accepting applications for the Data Science and Engineering Bootcamp from the following U.S. states. If you currently live in a state we are not yet approved in, please submit your application and our Admissions team will contact you to provide an update on your eligibility.

  • What is the application and admissions process like?

    There are three easy steps to the application process: 1) once you submit your application online, 2) our Admissions team will contact you to conduct a non-technical interview, and 3) then you can complete the technical assessment.

    During each of the 3 stages in this process, our admissions committee will review your application and determine your preparedness to succeed in our Data Science and Engineering Bootcamp. We assess applicants on (1) math experience, (2) programming experience, (3) communication skills, (4) motivation to join the bootcamp, (5) personality traits of passion, grit, and curiosity as well as (6) their potential overall fit within Metis. If the admissions committee confirms that the applicant has the potential to succeed in the Metis bootcamp, then the applicant is informed of their acceptance in writing within 2 day business days of completing the technical assessment.

    Are you ready to apply? Start your data science career here.

  • What if I am not sure if I am prepared to apply for the Data Science and Engineering Bootcamp right now?

    Our part-time bootcamp prep courses are a great option if you’d like to enhance your python, math, and overall data science skills prior to applying. Not only can you gain the skills you need, but you can also apply your tuition paid from one course towards the bootcamp.

    We also recommend registering for our free Metis Admissions Prep to help develop your data science and analytics skills!

  • Does the Data Science and Engineering Bootcamp require a full-time commitment?

    Looking for a more flexible format? Consider our Online Flex bootcamp, which requires a weekly time commitment of 15-20 hours and includes deadlines for assignments and projects to help you stay on track.

  • What payment options are available for the Data Science and Engineering Bootcamp?

    The tuition for the Data Science and Engineering Bootcamp is $11,000. Once you are accepted into one of Metis’ bootcamps, a $1,500 deposit is required within 7 days of signing the enrollment agreement to reserve your spot. After making the deposit, students can choose to pay in installments. Additionally, we have a partnership with Skills Fund and Climb to offer affordable financing options. Both of our third party financing partners offer several monthly repayment options for Metis students. Visit Ascent or Climb Credit to learn more.

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

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

  • What can Metis Career Support help me get employed?

    At Metis, we have welcomed students to our bootcamps since 2014. Our talented graduates work all over the U.S and the world. Our dedicated Career Advisors have committed to:

    • - Working extremely hard to counsel you through a critical career transition, which includes workshops focused on getting you job ready, one-on-one meetings, and bridging connections to our alumni network
    • - Providing post-session support and professional development through our Career Support Team until you are hired.
    • - Exposing Metis graduates to our extensive hiring network who are actively seeking to hire data science professionals.
ADDITIONAL FAQ

Questions?

Read our FAQs

Not Quite Ready to Enroll? Start Here.

Bootcamp modules are also offered as individual courses. This is a great choice if you’re interested in a specific topic or if you want to experience a taste of bootcamp, before committing.

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