Technology has transformed the way we learn, work, and interact. Consider the speed of our digital conversion: Just twenty years ago there was no smart phone, mp3 file, streaming video, cloud storage, or GPS. Google wasn’t a verb and your social network was limited to your home, school, and office.
If you often find yourself thinking about digital media—how it’s changed our world, what the future holds and how the technology can be applied and improved—consider pursuing a B.A. in Digital Media, Arts, and Technology. This interdisciplinary degree combines the broad perspective of the liberal arts with technical skill, so you’ll study technology history and theory at the same time that you’re learning to use the newest programming languages, digital tools, and computer systems.
Only at Penn State Behrend
Digital Media, Arts, and Technology—abbreviated DIGIT—is Penn State’s only undergraduate degree in digital humanities. DIGIT meets growing employer demand for professionals capable of both critical analysis and creative production of digital media.
The curriculum is designed so that DIGIT majors can easily add a second major within the School of Humanities and Social Sciences. If a career in the field of interactive entertainment is your goal, pursue the Game Development minor.
DIGIT majors choose to study in any two of four concentrations:
- Digital Humanities: Learn how to use computers to solve humanities-based problems. Libraries and archives—as well as corporations and governments—have more information than can be practically read. Computing in the humanities gives us the ability to organize this material and make it available to the widest possible audience.
- Sound and Motion: Tell engaging stories by making and sharing online videos, digital music, video games, and professional-quality movies.
- Modeling and Simulation/Human-Computer Interaction: Conceptualize the world and the people in it. How can we represent them through live, virtual, and constructive simulations and realistic models of human behavior?
- Data Visualization and Assessment: Data is meaningless without a way to represent and interpret it. Learn to process data and make arguments based on both qualitative and quantitative values.