The Applied Data Analysis degree program is designed to give students with wide and varied interests the tools to further explore subjects within their chosen specialty by learning computational techniques for data retrieval, analysis, and reporting.
A student who receives the ADA degree will have been exposed to programming principles and paradigms, industry-favored programming languages, contemporary data analysis software, and key insights on how to data can inform their understanding within their chosen specialty.
I. Student will understand fundamental programming principles and paradigms.
II. Student will use contemporary data analysis software.
III. Student will understand and apply best practices of use of this software.
IV. Student will synthesize the student’s concurrently developing specialty knowledge with modern techniques of data analysis.
Major Requirements (53 total hours):
PHY 115 College Physics I
PHY 116 College Physics II
MAT 220 Statistics
ART 225 Graphic Design
ENG 302 Digital Culture
CSC 120 Web Programming
CSC 216 Programming I
CSC 218 Programming II
MAT 250 Data Analysis
MAT 350 Algorithms
MAT 450 Data Analysis Seminar or approved internship/PDE experience
6 courses at the 200 level or above with the same prefix
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