Internships

Experience That Sets You Apart
Providing real-world, hands-on experience, data science internships offer an essential bridge between academic learning and professional application. These high-impact opportunities allow students to apply analytical techniques, programming skills, and statistical methods to solve real business problems, while contributing meaningful insights to their host organizations. Faculty and the Career Center support students in identifying internships and other valuable experiential learning opportunities.
College grads have completed at least one internship
Provided by The UNC Asheville Career Center
Employers prefer to hire candidates with relevant work experience
Provided by The UNC Asheville Career Center
Interns receive full-time offers
Provided by The UNC Asheville Career Center

Student Spotlight
Jump Start Your Career with an Internship

Jump Start Your Career with an Internship
The UNC Asheville Internship Program offers structured, funded internships each fall, spring, and summer, offering students real-world experience aligned with their academic and career goals. With support from the Career Center in internship matching opportunities, students with at least 60 completed credit hours are eligible to participate. Participants develop learning objectives tied to career readiness competencies and may earn academic credit. The program includes preparation workshops, employer interviews, and ongoing support to help students gain meaningful professional experience.
Ready for what's next?
The Data Science minor at the University of North Carolina Asheville equips you with the tools to analyze, interpret, and visualize data to solve real-world problems. This program offers a hands-on learning experience, providing opportunities to work with advanced technologies and collaborate on innovative projects. With a strong foundation in programming, statistics, and machine learning, the Data Science minor is designed to complement any major, opening doors to a variety of career paths in today’s data-driven world.