The digital humanities graduate certificate welcomes students from all disciplines, including the humanities and arts, social sciences, natural sciences, computational and mathematical sciences, engineering, and communication, media and information science. The certificate prepares students to:
- create, utilize and evaluate digital methods and tools for research;
- integrate methods and tools into their teaching;
- assess the diverse impacts of technologies on people and society; and
- leverage digital technologies for public outreach and engagement.
Through an interdisciplinary curriculum, the certificate provides graduate students from across campus the opportunity to explore the evolution and variety of digital humanities theories and practices and to study approaches in the field in-depth. Moreover, the certificate is intended to stimulate collaborations among graduate students in a range of fields, thus preparing them for work in a team-based environment.
For additional details, including the procedures to declare and complete the certificate, visit the Digital Humanities Graduate Certificate webpage.
Requirements
Required Course and Credits
The certificate consists of course requirements only, at least 9 credit hours at the graduate level with an average GPA of 3.0 (B) or better.
In addition to the core course, students must choose two elective courses to complete the certificate. Certain special topics courses also count as electives. For a full list, please visit the certificate website's Elective Courses webpage.
Code | Title | Credit Hours |
---|---|---|
Core Course | 3 | |
Introduction to Digital Humanities: Movements, Methods, and Tools | ||
Electives | 6 | |
Game Design | ||
Mobile Application Development | ||
Big Data Architecture | ||
Empathy and Technology | ||
Creative Technologies | ||
Design Studio | ||
Web Front-End Development | ||
Introduction to Programming | ||
Historical Overview of Media Arts and Technology | ||
Research and Methodologies I | ||
Production Methods I | ||
Network Analysis and Modeling | ||
Data Mining (Same as CSCI 4502) | ||
Natural Language Processing | ||
Advanced Geovisualization and Web Mapping | ||
Geographic Information Science: Spatial Analytics | ||
Geographic Information Science: Spatial Modeling | ||
Geographic Information Science: Space Time Analytics | ||
GIS in the Social and Natural Sciences | ||
Readings in Digital History | ||
Online Communities | ||
Digital Identity | ||
Data and the Humanities | ||
Information Ethics and Policy | ||
Information Visualization | ||
Applied Machine Learning | ||
Network Science | ||
Computation for Research in Information Science | ||
Media Technology Boot Camp | ||
Video Documentary Production | ||
Data Journalism | ||
Digital Journalism | ||
Introduction to Computational Corpus Linguistics | ||
Connected Media Practices | ||
Political Network Analysis | ||
Statistical Collaboration | ||
Philosophical and Ethical Issues in Statistics | ||
Total Credit Hours | 9 |