Monday: FINAL Fall Bootcamp Application Deadline! Apply Now
Metis is a data science educator that accelerates the careers of data scientists by providing full-time immersive bootcamps, evening professional development courses, online training, and corporate programs. Courses are taught by expert data science practitioners, integrating project based learning with real datasets.
Yes. Kaplan, Inc. launched Metis in 2013 and has been awarded accreditation by the Accrediting Council for Continuing Education & Training (ACCET) for all Metis data science programming. ACCET has been recognized by the U.S. Department of Education since 1978, and Kaplan Test Prep, a division of Kaplan, Inc., has received back-to-back 5-year grants of recognition — the longest period provided to an accredited member school. The rigorous standards prescribed by ACCET include demanding review and approval of the Metis curriculum, of instructional personnel, of instructional delivery, and of admissions and student services.
1033 West Van Buren, 3rd Floor, Chicago, IL, 60607
Metis is located in Chicago’s West Loop district
27 East 28th Street, 3rd Floor, New York, NY, 10016
(WeWork Nomad) in New York’s Flatiron district
149 New Montgomery St 2nd floor, San Francisco, CA 94105
in San Francisco's SoMa district
51 University Street, Suite 300, Seattle, WA 98104
in Seattle’s Pike Place Market Area
2025 M St. NW, Washington, D.C., 20036
(Kaplan Test Prep)
Our research shows a still-growing demand for qualified individuals for positions in the field of data science. This is largely driven by the exponential growth of available data (2.5 quintillion bytes of data are created daily and 90% of the world’s data was created in the past two years) 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 according to Glassdoor.
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.
A Data Analyst is someone who creates and communicates insights from data to measure outcomes, make predictions, and guide business decisions. 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. Each develops 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 is 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 Sr. Data Scientists are the individuals responsible for instructing our intensive bootcamps, among other year-round tasks. 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 cyclically and they push the student experience to the next level.
They’ve not only studied all of the material in our curriculum closely, but they’ve put it into practice at some of the top companies, organizations, and institutions in the country and beyond.
Curriculum: We take an iterative, project-centered approach to our data science bootcamp curriculum. On each of the five projects, we teach students how to identify the problem, extract and clean data, analyze and interpret data, and communicate the results, both visually and orally in a presentation. We focus on the full lifecycle of being a data scientist, rather than just teaching theory or just teaching tools and technologies.
Career Support: Our careers team offers valuable tools and coaching before, 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 with professional data scientists, and more. Our team provides personalized and ongoing support to each student during and after the bootcamp.
Accreditation: Metis is an accredited data science bootcamp. In order to keep our courses running, we must adhere to certain regulations determined by the Accrediting Council for Continuing Education and Training (ACCET). Our future is directly tied to our ability to help students get jobs related to data science.
Yes, the bootcamp requires a full-time commitment Monday through Friday from 9am-5pm.
No, a job is not guaranteed. However, we do guarantee to:
While our hiring network is largest within our home bootcamp cities of Chicago, New York City, Seattle, and San Francisco (and therefore many local companies attend our Career Day events), we're also dedicated to helping those who wish to connect with companies based outside of these areas.
Because Metis is backed by Kaplan, which has global reach, we have the ability to help introduce graduates to companies around the world. Our career advisors are 100% dedicated to helping you find a job, no matter the location.
No, however, we do partner with Common, which provides short-term, collaborative living arrangements in Chicago, New York City, San Francisco, and Washington D.C. In Seattle, we have a list of places we can recommend. If you want more information, please email us at [email protected]. There are also a number of other affordable short-term living options that you can research.
International Students may attend the Metis Data Science Bootcamp in all four of our U.S. campuses on an M-1 Visa. Details here.
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.
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.
Admission to Metis is selective and comprised of three phases.
Not sure if your skills and experience are strong enough for the Data Science Bootcamp? Try scoring yourself using this brief self-assessment:
Statistics total = _____
Programming total = _____
Personality total = _____
If you scored a six or greater in each of the above categories, you may be the kind of person we’re looking for. Of course, the bootcamp itself will be much more challenging, involved, and technical, but this assessment highlights the combination of skills, interests, and personality we think are necessary for a seriously considered application.
A computer science program tends to be more broad and theoretical. Our bootcamp focuses on applications, so the computer science material covered within the bootcamp will be narrowly focused on topics in data structures, algorithms, input/output, and Python language that are pertinent to the data science workflow.
In addition, we cover topics in statistics and machine learning that are not computer science, per se. We also focus on the soft skills that make data scientists so valuable such as communicating results, working with deadlines, combating perfectionism, and setting expectations.
Some experience in both programming and statistics are necessary. Further background in either one is helpful but not critical for overall success this bootcamp. Students jump into solving problems directly, which requires the use of Python skills and statistics knowledge together. If it applies to you, you will certainly learn more in the area you’re currently less versed in, meaning you will graduate from the bootcamp feeling strong and qualified in both.
They will also learn about, and become comfortable with, distributed algorithm frameworks such as Hadoop/MapReduce, system architectures with multiple servers of different roles, and web app frameworks such as Django.
Completing the pre-work is essential to obtaining the foundational knowledge necessary to successfully start the Metis Data Science Bootcamp and setup 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, your brain, and a readiness to learn. 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.
You will complete five data science projects throughout the bootcamp. 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. The final project is your passion project, during which you have full control from start to finish. 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.
Metis offers two part-time courses:
Beginner Python & Math for Data Science: This course is for absolute beginners looking for 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 course 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.
Live Online bootcamp prep courses are $750. As a Metis Alumni, the amount of tuition paid for one part-time course can be applied to an upcoming Data Science bootcamp upon admittance.
Our instructors are all working in industry and have extensive experience working in data science 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.
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. Unlike some other online course options out there, which might consist of pre-recorded lectures, our courses allow for interaction with the instructor, teaching assistants, and other students, and because these are on a set schedule, you’ll be motivated to actually attend, do the work, and learn the material (which is what you’re really here for anyway!).
It does not, simply because we evaluate each and every bootcamp applicant the same way in order to ensure fairness. However, if accepted to the bootcamp, you do have the advantage of applying the amount of one part-time course tuition toward the bootcamp tuition, so you essentially got your part-time course for FREE.
Yes, certificates are available upon request.
1033 West Van Buren, 3rd Floor, Chicago, IL, 60607 in Chicago’s West Loop district
There are some free parking spaces behind the building. There are a number of nearby pay lots as well as you can pay to park on Van Buren St.
As a student of the bootcamp, you will be given a key card which will provide you 24/7 access to the campus. You are more than welcome to study in the space outside of regular business hours,but you’ll need your access card for access.
27 East 28th Street, 3rd Floor (WeWork Nomad) in New York’s Flatiron district
As a student of the bootcamp, you will be given a key card that will provide you 24 hour access to the campus Monday - Friday. On the weekend, you will have limited access to the building.
The Flatiron district in Manhattan is bustling – filled with many eateries, bars, comedy clubs, theaters, parks, and central to a number of subway lines that provide access to the nearly endless things to do in New York City (including tons of data and tech Meetups and events!).
149 New Montgomery St 2nd floor, San Francisco, CA 94105
There is not any designated parking for our building, however, there is metered street parking and various parking lots and garages nearby. Here is some information about a couple of those lots:
If parking on the street, make sure to read the street signs for street cleaning and parking rules. After 6:00 PM PT, most of the parking surrounding our building is free.
For BART, we are less than a 10-minute walk from the Montgomery St. Station on Market Street.
For Caltrain, we are about a 15-minute walk from the San Francisco Station on 4th and King Street.
51 University Street, Suite 300, Seattle, WA 98104. We are located near the Sattle Waterfront and Pike Place Market.
Pioneer Square is a vibrant part of Seattle with lots of different places to eat, things to do, and bars to check out – additionally, we’re located within walking distance of Seattle’s professional sports venues, Quest and Safeco Fields.
There are numerous parking garages around our office. They do charge, so please be prepared to pay for parking. There is also street parking available by the office, which is free after 6PM. If you take public transportation, it is very easy to get to our campus from many parts of Seattle and the surrounding areas.
As a student of the bootcamp, you will be given a key card that will provide you 24/7 access to the campus. You are more than welcome to study in the space outside of regular business hours, but you’ll need your card for access.
Join our city-specific Meetup groups to stay up-to-date on upcoming events near you.
This is desired but not required. As a student, we certainly encourage you to take advantage of any and all events we host at Metis – we consider them as great learning and networking opportunities. RSVPing gives us a more accurate idea of how many people to plan for, so if you remember to do so, that is preferred.
We host data science events for aspiring and practicing data scientists and are happy to partner with existing Meetups who would like to collaborate on events in our space.