Apply for a Data Science Scholarship with Paperform

Finding financial support for your data science education shouldn't be harder than building a neural network. This Data Science Scholarship Application template makes it simple for educational institutions, tech companies, and foundations to collect detailed applications from aspiring data scientists—all while showcasing their analytics portfolio, machine learning projects, and commitment to ethical AI.

Whether you're a university program manager, a corporate social responsibility team, or a nonprofit foundation, this template helps you identify the most promising candidates through structured questions about their technical experience, project work, and values. The form captures everything from academic credentials and portfolio links to statements on algorithmic fairness and responsible AI development.

Why Paperform for scholarship applications?

With Paperform's document-style editor, you can customize this template to match your brand and specific scholarship criteria. Add conditional logic to show follow-up questions based on student responses, embed video prompts, or include scoring calculations to rank applicants automatically. File upload fields make it easy for students to submit their project portfolios, recommendation letters, and transcripts—all in one place.

Need to route applications to different reviewers? Use Stepper (stepper.io) to automatically assign submissions to selection committee members, trigger reminder emails for missing documents, and move top candidates through your review workflow. You can even connect to your student database or scholarship management system to keep everything synchronized.

The form includes validation for email addresses and file uploads, conditional sections that adapt to each applicant's experience level, and a professional design that reflects the serious nature of scholarship opportunities. Plus, with Paperform's security features including SOC 2 Type II compliance, you can trust that sensitive student information stays protected throughout the application process.

Give talented data science students a straightforward path to funding their education, and give your selection team a streamlined process for discovering the next generation of ethical AI leaders.