Data Science Bootcamp | IE Exponential Learning

Data Science Bootcamp

Start dateMay 17th, 2024
Duration26 weeks
LanguageEnglish
LOCATIONGlobal (online), Madrid
FormatFace to face + Virtual
Tuition Fees€12,500
Start dateMay 17th, 2024
Duration26 weeks
LanguageEnglish
LOCATIONGlobal (online), Madrid
FormatFace to face + Virtual
Tuition Fees€12,500

THE DATA SCIENCE BOOTCAMP ADMISSION PROCESS

The IE Admissions Department has a rigorous selection process.

We seek motivated, creative and high-potential candidates who stand out for their academic and/or professional achievements, as well as interpersonal skills.

We take a holistic approach when evaluating each candidate in order to bring in the most talented people into our international classrooms.

Admission is on a rolling basis and although there is no deadline for applications, there are limited spaces, so early applications are recommended.

The admission process is divided into three steps. Below you will find detailed information on each step, from sending of the online application form to the final decision of our Admissions Committee.

WANT TO KNOW MORE?

TUITION

The tuition for Data Science Bootcamp is 12.500€* for the 2020-2021 academic year.

*Tuition is reviewed on a yearly basis and therefore subject to change.

**Special Conditions for IE Alumni, please contact your admissions advisor for more information.

PAYMENT PLAN

We understand that you’re making a significant investment and we believe that maximizing the availability of payment plan options is important in making your Data Science Bootcamp affordable. Our payment plans offer the following benefits:

  • The ability to pay your tuition fees in up to 3 consecutive instalments during the program and the last payment has to be completed 3 weeks before the program ends.
  • They can be used in conjunction with your financial aid award shall you receive a scholarship.
  • Our payment plans are interest-free and there are no pre-approval requirements or credit checks.

For further information, please contact the Admissions Team.

Step 1: Online application form

Candidates should complete the sections that appear in the online application form and you must also upload the following documents:

  • Your diploma or certificate from an accredited university or educational institution (or a statement that you are currently completing, or will have completed, a Bachelor’s Degree or any other similar educational accreditation before beginning the Data Science Bootcamp).
  • A motivation letter answering the following question: Why do you want to be part of the IE Data Science Bootcamp?
Admissions step 1

STEP 2: PERSONAL INTERVIEW

Once you have submitted your online application, the Admission Team will contact you to request your CV* and schedule a personal interview.

It is our goal to make you feel confident and comfortable during the application process, therefore, it’s flexible for you to choose whether you would like to do it through voice call or video call.

The Admission Team would like to know more about your background, and most importantly, your motivation for studying data science and why IE University.

*See example here.

Admission step 4

STEP 3: ADMISSIONS COMMITTEE FINAL DECISION

After the interview, your entire application will be evaluated holistically by our Admissions Committee. This is the last step of your application and it will take roughly 2 – 3 days for the Admissions Committee to get back to you with a final decision.
admission step 5

STEP 4: FINAL ENROLMENT

If you are finally admitted in the Data Science Bootcamp, first of all, congratulations! We offer a 2-week pre-work right before the official program, to help you prepare for the bootcamp. Therefore, after being accepted, you will have to confirm your enrolment by reserving your place at least 2 weeks before the starting date of the program.

AM I A POTENTIAL IE FIT?

Am I a potential IE fit? video
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MEET THE ADMISSIONS TEAM

Claudio Alonso
CLAUDIO ALONSO
Program Advisor
Carlos Martín | IE Exponential Learning
CARLOS MARTÍN
Program Advisor
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