Which Bootcamp is Right for Your Career Goals? Explore Programs
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.
Metis accelerates data science and analytics learning for individuals, companies, and institutions through online education, corporate training and immersive bootcamps. Courses are taught by industry-seasoned data analytics instructors, integrating project-based learning with real datasets.
Metis runs all bootcamps, short immersive courses and bootcamp prep courses via live online delivery.
The beauty of the Live Online format is that you’re taught by our industry-leading instructors live, but can attend class sessions from literally anywhere you have an internet connection. Our courses allow for interaction with the instructor, teaching assistants, and other students, and because these courses are on a set schedule, you’ll be motivated to actually attend, do the work, and master the material (which is what you’re really here for anyway!).
Our research shows an ever-growing demand for qualified individuals in the field of data science and analytics. This is largely driven by the exponential growth of available data (the amount of data generated each day is expected to reach 463 exabytes globally, by 2025, according to the World Economic Forum) and the narrow set of specific skills required to extract value from that data. As a result, the number of data-related job postings has surged and median salaries have risen as well, leading to “data scientist” becoming the best job in America in 2016 and 2017, and the third best as of 2020, according to Glassdoor.
External data continues to validate the demand for the types of programs Metis offers. For example:
We’ve certainly seen variation in regards to what employers have in mind when they use these terms, so please consider the answers below as general guidelines. Learn more about our existing bootcamp offerings to see which bootcamp is the right fit for you based on your goals.
A Data Analyst is someone who creates and communicates insights from data to measure outcomes, make predictions, and guide business decisions. Data Analysts are expected to be subject matter experts on the different business problems and be able to translate these challenges to the technical team. Often, there is a lighter coding burden placed upon someone with the title Data Analyst, though they may be expected to know certain languages or packages in R or python.
A Data Engineer is the designer, builder, and manager of the information or "big data" infrastructure. They develop the architecture that helps analyze and process data in the way the organization needs it – and they make sure those systems are performing smoothly.
The term Data Scientist is used the most broadly. A job posting for a Data Scientist might describe a role identical to others calling for “data analyst,” though there are usually more diverse coding skills needed for a data scientist job. For the most part, data scientists are asked to participate in the entire cycle of problems and solutions. They help identify opportunities for companies to use data, while also finding, collecting, and integrating relevant data sources, performing analyses of varying degrees of complexity, writing code and creating tools that teams and businesses can use over time, and telling the story of what they’ve done to company stakeholders.
We believe we are different in several key ways:
Instructional Quality: Our Instructors are the individuals responsible for instructing our intensive bootcamps, among other year-round tasks such as making sure our curriculum is up to date, learning about the new trends in the field, publishing thought leadership content through conferences, webinars, blogs, podcasts, and more. They represent a wide swath of expertise and come from educational and professional backgrounds spanning physics, business, neuroscience, engineering, healthcare, academia, and more. They are the primary reason that our bootcamp is successful and they push the student experience to the next level.
They are not only knowledgeable about all of the material in our curricula, but they’ve put it into practice at some of the top companies, organizations, and institutions in the country and beyond.
Curriculum: Our data science and analytics curricula feature iterative, project-centered approaches to developing experience and expertise with data. Our Instructor led lectures are recorded and students will have access to the recordings for 6 months after graduation. Students can utilize our curriculum and course recordings to feel confident in their knowledge as they enter the job search. On each project, students learn to identify business problems, extract, clean, analyze and interpret data, and communicate the results in a presentation. We focus on the full lifecycle of being a data professional, in addition to teaching theory and technologies.
Career Support: Our career services team offers valuable tools and coaching during and after the bootcamp to help students achieve their individual goals. You’ll have one-on-one meetings with your career advisor, exposure to industry experts via our in-class speaker series, workshops focused on resume writing, LinkedIn, and salary negotiations, mock technical interviews and more. Our team provides personalized, ongoing support to each student during and after the bootcamp until they’re hired.
Having welcomed students to our bootcamps since 2014, our graduates work in cities and states all over the U.S., as well as across the globe. Our Career Advisors are committed to:
We are currently able to accept applicants for the live online bootcamps from the following U.S. states.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]
The live online bootcamps are held virtually using Zoom. Instruction will be delivered via 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 students to collaborate during pair programming exercises and for 1:1s with their instructors and teaching assistants.
Yes, it requires a full-time commitment Monday through Friday. The bootcamps run from 11:00 am - 6:00pm ET / 10:00am - 5:00pm CT / 8:00am - 3:00pm PT. The daily schedule includes pair programming, lectures, one hour lunch, and independent project work.
If accepted into one of Metis’ bootcamps, a deposit of $1,500 is required within 7 days of signing the enrollment agreement to secure a spot (includes a $100 non-refundable registration fee). After making the deposit, students have the option of paying in three monthly installments. We also partner with Skills Fund and Climb for affordable financing options. As our third party financing partners, they both offer several monthly repayment options for our students accepted to the bootcamp. Learn more by visiting Skills Fund or Climb Credit.
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 $2,000 scholarship toward their Metis Data Analytics Bootcamp tuition, and $3,000 towards the Data Science & Engineering Bootcamp, the Data Science Bootcamp, and the Data Science & Machine Learning Bootcamp. Applicants eligible to receive the scholarship will submit a scholarship application form upon acceptance. Metis offers up to 30 scholarships per bootcamp per cohort.
* 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.
Admission to the Metis data science bootcamp is selective and comprises three phases.
At each of the 3 stages, the admissions committee will review your application and determine your preparedness to succeed in our bootcamp. We assess applicants on (1) programming experience, (2) math experience, (3) communication skills, (4) personality traits of curiosity, grit, and passion, (5) motivation to join the bootcamp and (6) their potential overall fit within Metis. If the admissions committee agrees that the applicant has the potential to succeed in the program, the applicant is informed in writing of their acceptance within 2 business days of completing the technical challenge.
If you’d like to enhance your math, python, and overall data science skills prior to applying, we recommend that you enroll in one of our part-time bootcamp prep courses. Gain the skills you need, and apply your tuition paid from one course towards the bootcamp.
We recommend that all potential students sign up for our free Metis Admissions Prep!
Some experience in both programming and math are necessary. A deeper background in either one is helpful but not critical for overall success at the bootcamps.
Completing the pre-work is essential to obtaining the foundational knowledge necessary to successfully start the Metis Data Science & Analytics Bootcamps and set up of your software. Each student should expect to spend approximately 60 hours on tutorials as they become familiar with Python, take a Command Line Crash course, go through a number of package installation tutorials (i.e., Numpy, Scipy, pandas, Scikit.learn), and do some preliminary linear algebra and statistics work.
The pre-work is intended to provide students with the essential background and foundational knowledge they’ll need in order to start the bootcamp and hit the ground running.
You will need your computer, high-speed internet, and a readiness to learn. Your computer needs to run OS X and have at least 8GB 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. Previous students have also recommended an external monitor as a nice to have - this way you can have your video lecture on one screen and your jupyter notebook on the other.
Depending on the bootcamp you are enrolled in, you will complete between three to seven projects to include in your digital portfolio. At the beginning, you follow along with the instructors as they guide you, but as you learn more, your control over each project increases. You soon make your own choices when tackling data science problems, and with each project, you get concrete, shareable results like blog posts, graphs, and/or reports, and you will conclude with a story of what the problem was, how you approached it and solved it, and what the results look like. Aside from giving you hands-on data science experience and confidence, these projects provide you with stories and outcomes as a great way to demonstrate your abilities to potential employers. You can see examples of past student projects here.
Our more than 1,200 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.
We know everybody learns differently. 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 many students seek Metis because of their desire for a structured learning environment.
Metis offers two part-time courses:
Beginner Python & Math for Data Science: This 36-hour program is typically scheduled over 6 weeks is a beginner level live online course designed to provide an introduction into the basic Python programming skills and mathematical essentials critical for succeeding at the Bootcamp application technical assessment.
Introduction to Data Science: This 36-hour program is typically scheduled over 6 weeks and provides a well-rounded introduction to the core concepts and technologies taught in the bootcamp, including basic machine learning principles and hands on coding experience.
To compare the course curriculum side-by-side, visit our bootcamp prep page.
Our part-time courses typically run two nights per week over the course of 6 weeks, totaling 36 hours of instruction. You can see the full schedule here – we consistently add new courses, so be sure to check back routinely.
Our Beginner Python & Math for Data Science and Introduction to Data Science are $750 each. As a Metis Alumni, the amount of tuition paid for one part-time course can be applied to an upcoming bootcamp upon admittance.
Our instructors are all working in industry, and while some are actually former Metis bootcamp instructors themselves, all have extensive experience working in data science and analytics roles themselves. Read our instructors’ bios here.
Yes, we currently offer both of our part-time courses in a Live Online format. Students interact with their instructor and classmates in real time in a virtual Zoom classroom and connect with them outside the classroom in a dedicated Slack channel. Recordings of all classes are provided.
We evaluate each and every bootcamp applicant the same way in order to ensure fairness. However, if accepted to a bootcamp, you do have the advantage of applying the amount of one part-time course tuition toward the bootcamp tuition if you enroll within one year of the Prep Course and are a resident from an eligible state, so you essentially received a bootcamp tuition discount for your part-time course cost.
Yes, a certificate of completion is available upon request.
Metis offers Short Immersive Courses designed for students looking to upskill in specific data science and analytics topics in just two weeks.
These courses are offered on full-time, immersive schedules. All of the courses culminate with a project and offer a certificate of completion to those who pass the course assessment and project. To see the full list of courses, click here.
The short immersive courses are a full-time commitment Monday through Friday for two weeks. The short immersive course runs from 11:00 am - 6:00 pm ET / 10:00 am - 5:00 pm CT / 8:00 am - 3:00 pm PT. The daily schedule includes pair programming, lectures, one hour lunch, and independent project work.
Students can expect to spend additional time each night outside of class hours reviewing lectures, completing assignments, and working on their project. Students must maintain attendance and achieve passing scores on both the project and assessments to receive a certificate of completion.
The Metis short immersive courses run once every 4 weeks. The enrollment period for the courses will close on the Friday before the class start date by 8 pm ET. This will help ensure you receive any information required to join the class successfully on day 1.
Tuition for the short immersive courses are $3,500. Students pay for the course in full upon enrolling.
No. We do not offer career support for students of these courses like we do for our bootcamp students, but you will gain access to our alumni community network of 1200+ data professionals. Networking events and job opportunities are posted on a regular basis in this active digital community.
However, students who successfully complete a short immersive course and enroll in the bootcamp will receive credit for the short immersive course they have completed.
Yes. To receive a certificate of completion, students enrolled in a short immersive course must successfully pass the course assessments and project.
As long as a student has successfully completed a short immersive course within one year of enrolling into a bootcamp, they will receive credit for that module associated with the bootcamp curriculum.
To learn more about our online events and how to register, please visit our events page.