2021 Boost:
Equal Opportunity Scholarships

4 scholarships for our Data Science Immersive starting in May 2021
4 scholarships for our Web Development Immersive starting in May 2021

About this scholarship 

We believe 2021 is the year for women in Data Science and Web Development, and we want to make good on this promise. So to do our part in creating equal opportunities for women, we’re offering:

– 4 scholarships to future female Data Scientists
– 4 scholarships to aspiring female Web Developers.

We will be offering 4 scholarships for our Data Science Immersive Bootcamp of 50% off the total tuition fee (3475€).

4 scholarships for our Web Development Immersive Course of 50% off the total tuition fee (3475€).

Winners will have to cover the remaining 50% fee in order to attend the course, which is the same amount as the scholarship.

These Equal Opportunity Scholarships are intended for women with low income and/or other socio-cultural barriers that have the drive and the vision to develop Data or Web Development solutions but lack the funds to get started in these fields

This scholarship is open to anyone who identifies as a woman (including transgender, genderqueer or non-binary individuals). Applicants must be 18 years of age or older at the date of submission.

We know you are proud of your problem solving skills. But let us help you to solve this one. Tell us your story about why you’re passionate about technology for a chance to receive one of our scholarships.

The deadline to apply to these scholarships is Sunday, March 28th, 2021.

Thanks for your interest!

Selection Criteria

To qualify for this scholarship, applicants must submit the standard application form before the 28th of March, 2021. 

Selected candidates will then go through a personal interview process and pass a technical assessment (all details can be found in the Selection Process section). 

Winners are selected by our admission committee and must be at least 18 years of age when applying.

The following collectives will be considered a priority: 

– Women with low income
– Unemployed women
– Unemployed women because of COVID-19
– Women with dependents
– Women representing ethnic minorities
– Women representing gender and sexual minorities
– Women with disabilities

We aim to run a transparent and fair scholarship process, that’s why we present you with the criteria that we will follow in order to select the winners. We hope you find this process fair; we ask you to be honest in your application and read it carefully.

  • 1st phase: Your application form (7 points in total):

    Your drive and motivation (3 points), 
    your availability (1 point),
    your previous experience relevant to the course (1 point),
    your communication skills, including english skills (2 points). 

    * A minimum of 5 points are needed here to go into the 2nd phase.

  • 2nd phase: Personal interview & Tech Assessment (10 points in total):

    Interview (5 points): We want to meet you, understand your motivations and expectations for the course.

    Technical assessment (5 points): a technical background is not required here, but we want to test your capacity to look for answers elsewhere and catalyze your tech mindset.

  • Other criteria: (1 point per eligible criteria):

    women with low income; unemployed women; unemployed women because of COVID-19; women with dependents; women representing ethnic minorities; women representing gender and/or sexual minorities; women with disabilities.

Selection Process

This section is very important. Please read carefully and keep the deadlines in mind: 

  1. Go to our Data Science Immersive Course and to our Web Development Immersive Course to take a deep dive into the syllabi.
  2. The 50% scholarships are valid for:

    – The Data Science Immersive edition starting on the 10th of May until the 16th of July

    –  The Web Development Immersive edition starting on the 10th of May until the 16th of July

    When applying please make sure you can attend 95% of the classes.

  3. First Selection Phase:

    For both the Data Science and Web Development Courses:

    – From the 29th of March until the 1st of April. 
    – You will be notified whether or not you pass on to the next phase on the 1st of April.
    – You can apply through this form. 

  4. Second Selection Phase:

    For both Data Science and Web Development Courses:

    – From the 6th of April to the 9th of April. 
    – Personal Interview + Technical Assessment.
    – You will be notified to schedule an interview and a technical review.

  5. The selected applicants are announced:

    For both Data Science and Web Development Courses: on the 9th of April.

  6. Complete the mandatory pre-work:

    For both Data Science and Web Development Courses:
    From the 9th of April to the 9th of May

    The pre-work will take you about 40h, please keep in mind your availability to complete it before applying for this scholarship and before starting the course. You won’t be able to attend the course if you don’t finish the pre-work before.

  7. Starting dates of the course:

    Data Science Immersive Course: From the 10th of May until the 16th of July.

    Web Development Immersive Course: From the 10th of May until the 16th of July

1. Applicant Acknowledgements

Applicants certify that their answers are true and complete to the best of their knowledge. If this application leads to a scholarship, Applicants understand that false or misleading information in their application may result in the disqualification for the scholarship. By applying for this scholarship, Applicants acknowledge and agree to the following terms: Any space left unanswered will be considered an incomplete application. Incomplete applications will not be considered. All scholarships are subject to the availability of funds and based on the satisfaction of scholarship conditions. Scholarship funds are only applied to allWomen tuition and fees.

2. Application Period

All applications must be received between 08:00 CET on the 8th of March 2021 and 23:59 CET on the 28th of March 2021.

3. Eligibility

In order to be eligible, applicants must be 18 years of age or older. Applicants must be women or women identifying only. 

In order to be eligible to win the scholarship, all candidates must meet the following criteria:

  • Participants must complete the Application Form.

  • Participants must meet the required skills of the chosen course and be accepted as a student by the allWomen team.

  • Applicants must be able to complete the Data Science Immersive Course (May 2021 edition) or the Web Development Immersive course (May edition) remote or in person at the allWomen campus located at Carrer del Dr. Trueta, 114, 08005 Barcelona or remotely.

  • Participants must be able to attend at least 95% of the classes.

  • All our classes are in English so a high level of English is required in order to qualify for the scholarship.

  • Awarded candidates must be able to pay the remaining 50% of the tuition fee before starting the course.

4. Scholarship Conditions

  • 4 scholarships are available for Data Science Immersive and 4 in Web Development Immersive.

  • The scholarship provided by allWomen will cover 50% of the total tuition fee. The remaining fee will have to be covered by the awarded student.

  • The scholarship will be only valid for the Data Science edition from May 10th until July 16th and for Web Development edition from May 10th until July 16th.

  • Candidates may apply to both courses but they can only be awarded one scholarship for one of the two courses.

  • This scholarship will only be awarded to a candidate one time and may only be used once by that candidate.

  • The scholarship may not be transferred to another course once the initially chosen course begins.

5. Privacy And Use Of Promotion Information

allWomen collects personal information from you when you enter this scholarship process, and we reserve the right to use any information collected in accordance with its privacy policy. By entering this scholarship, entrants are agreeing to receive email communications from allWomen.