A curated list of accessible internship opportunities designed specifically for students from humanities, social sciences, and liberal arts backgrounds who wish to transition into data analytics. These programs emphasize transferable skills like critical thinking, communication, and ethical reasoning alongside technical training.
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This intensive program bridges the gap between liberal arts education and data science, focusing on practical application of SQL, Python, and Tableau. It is specifically designed to help non-STEM majors build a robust portfolio and prepare for entry-level analytics roles.
An inclusive online curriculum from Microsoft tailored for individuals with no prior technical experience. It covers fundamental concepts of data visualization and analysis using Power BI, offering certifications that validate skills to employers seeking diverse talent pools.
While primarily a certification, many universities partner with Google to offer internship tracks for non-STEM students. The curriculum emphasizes data cleaning, analysis, and visualization, providing a structured pathway for liberal arts graduates to enter the tech industry.
This unique initiative targets students from non-traditional backgrounds, focusing on using data to improve healthcare outcomes. It provides hands-on experience with real-world datasets without requiring advanced mathematics, leveraging strong communication and organizational skills.
A rare opportunity for journalism and communications students to apply data storytelling techniques within a major media organization. Interns work with editors to visualize complex information, blending investigative reporting skills with basic data handling tools.
Access to a vast ecosystem of user groups and mentorship programs specifically for CRM data analysis. Non-STEM majors can connect with professionals to learn how to interpret sales and marketing data, gaining practical insights into customer behavior analytics.
IBM’s courseware is often adapted for community colleges serving non-STEM populations, offering flexible learning paths. It focuses on the business side of data, helping students understand how to derive actionable insights for marketing and operations roles.
ASA partners with organizations to create pathways for underrepresented groups and those from non-traditional academic backgrounds. The program highlights how statistical literacy enhances fields like sociology, economics, and public policy, offering mentorship and placement support.
These free workshops guide non-technical users in creating compelling data visualizations using Tableau Public. Participants learn to design dashboards that tell a story, a crucial skill for marketing and HR analytics positions that value presentation abilities.
A graduate-level pathway designed specifically for those without a STEM degree. It provides the necessary technical foundation in statistics and programming while respecting the applicant's existing knowledge base, often leading to direct internship placements through partner firms.
Focuses on the intersection of marketing strategy and data analysis, ideal for communications and English majors. Interns learn to interpret inbound metrics and customer journey data, skills highly sought after in digital marketing agencies.
CUNY offers specialized tracks that teach R and SQL to students from diverse majors. The program includes career services and internship referrals, helping non-STEM students translate their analytical thinking into tangible data science applications.
A self-paced course series that teaches fundamental data concepts to business and liberal arts professionals. It helps non-STEM interns speak the language of data teams, enhancing their value in cross-functional roles within corporate settings.
While not a direct internship, these mentorship networks connect ambitious non-STEM students with industry leaders in data-driven industries. Participants gain access to hidden job markets and internship opportunities in startups and tech firms.
Allows students to apply data analytics skills to social impact projects. Non-STEM majors are encouraged to join, bringing ethical perspectives and community engagement skills to technical teams working on social justice and public policy issues.