Lambda School’s data science program is one of the quickest and most affordable ways to become a data scientist. It can also be one of the most fun. Our hiring manager-influenced programs put you in the same (virtual) room as industry pros who arm you with every skill you’ll need to thrive in a career in applied statistics and machine learning.
If you have a passion for tech and a mind for numbers, getting accepted into Lambda School’s data science program is fairly straightforward. This post will tell you everything you should know to ace the application process.
Lambda’s coursework is rewarding but it’s also challenging, so there’s a little bit of housekeeping you’ll need to take care of before you start the application process.
Make sure you meet Lambda’s requirements
The first thing you should do before applying for the online data science course is make sure you meet Lambda’s applicant requirements. Are you passionate about finding a job in tech? Do you have grit and excitement about the field? Think about your work and home environment. Can you commit to attending 95% of your course and keep to your course schedule? Do you have access to WiFi and a computer with a webcam that will allow you to collaborate with your classmates and instructors online? Are you comfortable collaborating with other people and asking for help when you need it? If you can answer yes to all of those questions, you’re ready.
Pick a course schedule that works for you
Lambda offers both part-time and full-time tracks for prospective data science students so whether you’re ready to commit to studying full-time or you’d like to learn to code after work, there’s likely to be a course option that will work for you.
Full-time Schedule: Full-time classes run from 9 a.m. to 5 p.m. Pacific Monday through Friday with a personal warm up time from 8 to 9 a.m. and breaks for lunch. The full-time coursework takes about six months to complete.
Part-time Schedule: There are two part-time tracks you can choose from: 6 p.m. to 9 p.m. or 4 p.m. to 7 p.m. Pacific. Both part-time tracks are held Monday through Thursday plus three hours of work time over the weekend. Please see the Data Science program page to see which schedules are available for upcoming start dates. The part-time coursework takes about 12 months to complete.
Learn about Lambda’s tuition options
Lambda’s variety of tuition options make a new career in tech possible for anyone. There are several tuition options you can choose from as a student: Income Share Agreements (ISAs) and upfront tuition.
An ISA is a form of deferred tuition under which you agree to pay 17% of your post-Lambda School salary for 24 months, but only when you’ve been hired in a position paying more than $50,000 a year. ISA tuition is capped at $30,000, so you’ll never pay more than that for any reason. And if you don’t get hired after graduation, you don’t have to pay a cent.
ISAs are currently unavailable in California. However, students in California who would like to defer tuition until after graduation have the option of using a Retail Installment Contract (RIC). Under a Retail Installment Contract, you agree to pay 17% of your post-Lambda School salary, but only once you're making more than $50,000 per year (or the equivalent of $4,166.67 per month). The RIC is capped at $30,000, however, unlike the ISA, students who sign a RIC will be required to pay $30,000 regardless of how long it takes.
For students who would rather pay upfront, Lambda’s upfront tuition option helps you get your payments taken care of right away. Eligible students who apply to pay upfront can save 50% on the cost of tuition. This offer is not available in California, Texas, Washington DC, and Georgia.
If you’d like to spread your tuition payments out over time, you can choose to pay tuition in installments. This option allows you to make three payments over the course of several months. Depending on the state you live in, your payment schedule and the amount you’ll be required to pay may vary.
You should carefully consider each of these options before deciding a financial plan that works best for your circumstances.
Understand what you’re in for
It’s important to know what you’re getting yourself into before you get into a Lambda data science course. Lambda School is fast-paced and immersive, and includes over 900 hours of guided instruction. Our admissions advisors look for career-focused applicants who are digitally savvy and already have some experience with coding. Passionate, proactive, and dedicated students will excel in this kind of course, but it may not be for everyone. If you’re not interested in starting a data science career right away, a Lambda course probably isn’t the best choice for you.
One thing you can expect as a Lambda student is to be pushed outside of your comfort zone. You’ll be asked to apply the skills you learn in scenarios you may feel a little awkward in at first. That’s how we prepare graduates for whatever may come in the workplace. If you’re willing to embrace new experiences, you’ll thrive.
You can learn more about what we require at Lambda School in our Lambda School Course Catalog.
How are we doing? Still excited? If so, you’re ready to apply. Lambda School has an easy, four-step admissions process:
Once you’ve completed your application, it will be zipped along to our Lambda Admissions Team for review. We’ll send you an email in one to two days if you’ve been selected to proceed. At that point, you’ll be sent instructions to complete precourse work for the class.
Every student who applies for Lambda’s data science course is required to complete the Criteria Cognitive Aptitude Test (CCAT), which helps us predict your ability to be successful at Lambda School. There are 50 questions on the CCAT that measure verbal, math/logic, and spatial reasoning and you will have 15 minutes to complete the test. It's normal to not complete all 50 questions during the time allotted, so simply do your best.
You'll also be asked to complete a data science skills challenge to show off what you know. This challenge has a 1-hour time limit and will test your knowledge on fundamental data science concepts. You'll need to achieve a score of at least 11/15 to proceed with the application process.
How to prepare
Once you’ve submitted your application, we’ll send you coursework that will help you prepare for the entrance exam. This precourse work will introduce you to or give you a refresher on the basics of linear algebra, statistics, and Python so you’re ready to pass the test. These assignments are designed to challenge you, so don’t be discouraged if you find that you don’t understand every concept right away.
What happens if you take Lambda’s data science challenge and you don’t pass? The good news is you’ll be able to retake the test after waiting 24 hours.
Lambda's precourse challenge is a great primer to get you ready for our data science program. It gives us a sense of what kind of student you’ll be and it also gives you a chance to learn if becoming a data scientist is really your thing before you commit to joining a Lambda School cohort.
If you take the course work and realize you may be interested in the Web Development track, no worries. Contact us at email@example.com and we’ll help you find a course that fits best.
You will not be able to pick a course start date until you’ve completed the data science challenge, so if you’ve got your heart set on starting at a specific time, you’ll want to complete the challenge at least two weeks in advance.
Once you’ve filled out an application and passed the data science challenge, all we need is a bit of paperwork to get you started. You’ll need to provide us with proof of your educational background, like your college transcripts, high school diploma, or GED certificate. You can take a Wonderlic basic skills test as an alternative if you do not have your diploma or certificate.
After you sign your enrollment agreement, we’ll email you all the information you’ll need to get ready for your first class, including details about your Lambda Launch. From that point, you’re officially in. Welcome to Lambda!
Ready to take the next step? Learn more about the application process or download Lambda School data science curriculum.