Digital Culture and Data Analytics, BS
Requirements
Required Courses
Introduction to the Digital Humanities | 3 | |
OR | ||
Writing Games | 3 | |
OR | ||
Introduction to Multimedia Authoring | 3 | |
OR | ||
Language, Technology, and Society | 3 | |
Elementary Statistics | 3 | |
OR | ||
Statistics | 3 | |
OR | ||
Statistical Analysis | 3 | |
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Data Analysis and Visualization | 3 | |
OR | ||
Introduction to Coding in the Humanities | 3 | |
OR | ||
Introduction to Python for Data Analytics | 3 | |
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Multimedia Authoring: Image and Hypertext | 3 | |
OR | ||
Multimedia Authoring: Animation and Film | 3 | |
OR | ||
Multimedia Authoring: Mobile Apps and eBooks | 3 | |
OR | ||
Multimedia Authoring: Comics Production | 3 | |
OR | ||
Multimedia Authoring: Sound & Podcasting | 3 | |
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Senior Honors Seminar | 3 | |
OR | ||
Capstone Course | 3 |
Elective Courses
Digital Culture | Elective | 3 |
Digital Analytics | Elective | 3 |
The remaining 12 elective hours may be from either the DC or DA category and may include courses from both categories (x4 courses)
Category 1: Digital Culture
Coursework from English, writing, fine arts, and communication.
Digital culture outcomes
Students will demonstrate knowledge of the social and historical context of digital culture.
Students will demonstrate an ability to compose digital arguments.
Students will encounter significant works of scholarship and methods for doing research in digital studies.
Category 2: Data Analytics
Coursework from criminal justice, economics, geography, political science and math.
Data analytics outcomes
Coding: Students will develop intermediate proficiency or greater with at least one coding language used for spatial/statistical analysis (STATA, R, Python).
Data management and manipulation: Students will learn how to find data, create datasets, manipulate and clean data, and create new variables from pre-existing data sources.
Analysis and statistics: Students will choose and apply proper statistical methods for analysis and interpret the results.
Regression and spatial analysis: Students will use GIS and statistical software to explore patterns, relationships and processes.
Presentation of data: Students will present the results of their analysis in a variety of formats including, plots and graphs, digital mapping and cartography, and online.
With the approval of the academic dean, up to two courses (or six hours), including the statistics requirement, may count for both major and minor requirements. For example, if the student seeks a DCDA minor and a STCO major, course (Digital Storytelling) could potentially count toward the requirements for the minor and the requirements for the major, with approval and not in excess of 6 credit hours.