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Feb 17, 2025
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2023-2024 Undergraduate Catalog [ARCHIVED CATALOG]
Statistics and Data Science, B.S.
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The ability to reason and communicate with data - skills that fall under the umbrella of “data literacy” - is a key competency for those seeking employment in almost all professional sectors of the job market. Beyond this competency requirement, however, there is a sizable and growing demand from employers for individuals with specialized training in statistics and data science.
Employers are looking to hire statisticians and data scientists who are able collect and curate large volumes of data, bring statistical and machine learning methods to bear on new questions, and create data pipelines and workflows that transform digital information into actionable insights.
Perhaps most importantly, employers are looking for individuals who are equipped with the foundational training needed to ensure that the young professionals they hire into these roles are readily able to learn and critically assess new tools as they become available.
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I. Intellectual Inquiry in Arts and Creativity
II. Intellectual Inquiry in the Humanities
III. Intellectual Inquiry in the Social Sciences
IV. Intellectual Inquiry in Natural, Physical and Mathematical Sciences
V. Composition and Communication I
VI. Composition and Communication II
VII. Quantitative Foundations
VIII. Statistical Inferential Reasoning
IX. Community, Culture and Citizenship in the USA
Graduation Composition and Communication Requirement (GCCR)
- STA 495 STATISTICS AND DATA SCIENCE IN CONTEXT: A PRACTICUM Credit(s): 3
Graduation Composition and Communication Requirement hours (GCCR): 3
I. Foreign Language: 0-14
Placement exam recommended II. Disciplinary Requirements
III. Laboratory or Field Work: 3
IV. Race and Ethnicity Requirement: 3
College Requirement hours: 18-32
Major Requirement hours: 29
Specialization Through Other Course Work Required by the Major
12 or more credit hours In addition to the core courses, students have the option to further specialize their training in statistics and data science. Twelve (or more) credit hours must be proposed by the student and approved by the Director of Undergraduate Studies. This flexible specialization will allow students from a variety of backgrounds to complete the major with an approved speciality of their choosing and will make it easier for students to double major. Specialization Requirement hours: 12
Free Electives
6 hours of free electives - that do not count toward any other requirement - must be taken. Additional electives may be required to reach the required minimum of 120 hours. Free Elective hours: minimum of 6
Total Minimum Hours Required for Degree: 120
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