Women in Data Science Scholarship

$1000 will be awarded to a deserving female student in a data science program

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To be eligible for the scholarship, participants must be:

  • Female residing in the United States (non-Citizen OK with visa)
  • Enrolled full or part-time in a relevant undergraduate or graduate degree program in the United States during the 2019-2020 school year – data science, business analytics, statistics or computer science, or computer information systems.
    • Please note that students enrolled in short term bootcamps, nanodegrees, etc. programs are excluded.
    • University certificate programs of 1 year or more in length and online degree programs at a higher education institution are acceptable.
  • Provide 1 letter of recommendation - will be submitted with application, can be from anyone, maximum 1 page single spaced, on why you merit this scholarship

Scholarship Eligibility


The winners of our Data Challenge in 2019 were both women with impressive backgrounds and career goals. These young women also had access to a stellar education in data science.  We'd therefore like to support another young woman in her pursuit of a quality education that prepares her for a career in data science. 

A critical benefit of QuantHub's skill assessment platform is its potential to reduce bias in the recruitment process and therefore increase diversity in tech and analytical teams.  We believe that diversity in data science teams is critical to success.  We're committed to providing employers with a skill assessment tool that enables unbiased and objective hiring processes. 

To this effect, we are offering a $1,000 scholarship award to support women pursuing an education in the data science field.

Gender diversity in tech and data science is still lacking. As the chart to the below and other research shows women still represent a low percentage of workers in the data science field.  Many factors have been cited as contributing to this, one of which is unconscious bias on the part of male hiring managers who have historically dominated the tech and data science sectors.  Bias in general is a key driver of the lack of diversity in tech, including data science, data engineering and data analytics fields.

Why it Matters

Applicants will be asked to answer a series of questions and to demonstrate achievement, leadership, and initiative in the field of data science. You are also asked to submit 1 letter of reference with your application.  

The deadline to submit your application is May 1, 2020. Award will be announced June 1, 2020.

For questions contact scholarships@quanthub.com.

How to Apply

Apply Now


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