For Graduate Students

Enhance Your Graduate Research with Digital Humanities

Our Digital Humanities certificate offers graduate students the advanced research skills and technical expertise needed to enrich your scholarly projects and boost your academic profile. Through courses focused on digital archiving, advanced text analysis, data visualization, and computational methods, you'll gain practical tools directly applicable to your thesis or dissertation. Whether you're enhancing qualitative research with interactive archives, leveraging quantitative text analysis, or integrating digital methods into your scholarship, our program supports your research goals and prepares you for innovative work across the humanities.

Graduate students who complete the five-course requirements are elligible to receive a Certificate in Digital Humanities.

Course Spotlight: Data Science for Social Justice

Data Science and Social Justice uniquely bridges rigorous data science methodologies with critical frameworks from social justice, offering advanced training that complements and expands upon the foundational digital skills introduced in other Digital Humanities offerings. The course broadens your graduate skill set by applying Python to varied and socially impactful datasets—including criminal justice records and geospatial information—reflecting the real-world data challenges you are likely to encounter as researchers and practitioners. This integration of sophisticated analytical methods with a clear ethical perspective empowers you to critically examine and address the societal implications of data science, preparing you to meaningfully contribute toward equity and social good in academia and beyond.

Graduate Student Testimonials

“In the DSSJ course, I was able to reinforce the understanding that data science and machine learning are powerful tools that must be used responsibly in journalism.”

“As a disabled PhD student, I’m grateful to the DSSJ program for giving me the opportunity to begin exploring data science and to think critically about the implications of data science for social justice.”

“Working on the notebooks before the live sessions allowed me to slowly work through coding errors at my own pace, rather than have the mentors always provide me with working code without any understanding of what went wrong or how to fix things. I found that over time, I was able to recognize certain common errors and fix them myself! It was incredibly satisfying to get to the end of a notebook and have every line of code run without errors.”

Important Dates

Enrollment Opens

UC Berkeley Students: February 3, 2025

Visitors and International Students: February 18,  2025

Session Dates

Session A: May 27 - July 3, 2025

Session D: July 7 - August 15, 2025

Enroll Now

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