The 4-Week Data Science Bootcamp is an immersive, hands-on program designed for undergraduate students to explore data science within the context of equity and public interest. The program combines technical skill-building, project-based learning, and professional development to prepare students for meaningful contributions to data science.
Program Curriculum:
Data Science Foundations: Focused instruction on statistical thinking, data visualization, and data mining using computational environments such as Python and R.
Equity and Public Interest Technology: Exploration of how data science addresses critical issues, including climate resilience and health disparities, with hands-on experience working with open health and climate data.
Professional Development: Opportunities to develop networking and soft skills, supporting students’ preparation for impactful careers in data science and public service.
Program Features:
Hands-On Training: Daily workshops and collaborative group activities, guided by experienced instructors, with individualized mentorship from faculty and graduate students.
Guest Lectures: Presentations by experts in health, policy, and climate science, providing insights into data science’s role in public interest technology.
Networking Opportunities: Opportunities to connect with mentors, industry leaders, and other students focused on using data for social impact.
Project Showcase and Portfolio Building: Participants present their projects at a showcase event, creating a professional portfolio to demonstrate their skills and accomplishments.
Eligibility Requirements:
The boot camp is open to undergraduate students who will be rising sophomores, juniors, and seniors at U.S. colleges and universities over age 18 at the time the program begins. Participants should have completed at least one course in statistics or a related field in computation or data analytics and be interested in the intersection of data science, technology, and social impact, with a focus on equity. Participants must be able to attend the full four-week program in person.
Program Details:
Duration: 4 weeks (May 19 - June 13, 2025), including a project showcase on September 6, 2025.
Format: In-person at the GWU campus, with structured workshops, group projects, and guest lectures.
Application Deadline: January 20, 2025.
Applications should be submitted through the following link. The application package must include:
- CV: Include your current academic program, expected graduation date, and relevant coursework in data science or statistics. Highlight key skills such as programming (Python, R), data visualization, and statistical analysis. If applicable, detail relevant experience outside the classroom in data science, public health, or equity.
- Motivation Letter: A personal statement outlining your interest in the program and how it aligns with your academic and career goals.
- Contact information for one recommendation letter writer. We will reach out to them with a separate form for submitting the letter. The recommendation should address the applicant's academic standing, potential to engage in a rigorous data science program, and ability to contribute positively to a collaborative, equity-focused environment.
Target Enrollment: The program aims to accept 12 students for the bootcamp.
Scholarships: The program offers a $2,000 stipend to each accepted student who completes the full four-week program, funded by an award from the Public Interest Technology (PIT) University Network program of New America. Room and board are not provided.
For further details, contact Dr. Tatiyana Apanasovich at apanasovich@gwu.edu.