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Nov 22, 2024
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2023-2024 Undergraduate Catalog [ARCHIVED CATALOG]
Data Science, BS
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The Bachelor of Science in data science is designed to meet the rising workforce demand on professional in data management, big data and data analytics fields. It prepares students for careers in the data science with a broad knowledge of the tools, techniques and methods needed to work with data and information in an information intensive environment. Some of the areas this program is concerned with include data management, data modeling, big data, data analytics, data and information visualization, information organization, Internet applications development, game design and technology. The program helps students to acquire the type of skills, critical thinking, and competencies needed in data science and digital data management, as well as one of the professional fields. The program will educate a new generation of information professionals, particularly those students with science background pursuing an analytic related field.
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Hours required and general university requirements
A minimum of 120 semester hours, of which 42 must be advanced. See University Core Curriculum in the Academics section of this catalog.
Pre-data science requirements, 15 hours
Major requirements, 24 hours
Professional field, 24 hours
A professional field of 24 hours from information science or a related field, such as business analytics, computer science, digital communications analytics, education analytics, health data analytics and statistics.
Information science professional field
Business analytics professional field
Electives, 15 hours
Hours required for electives may vary based on course selection and the University Core Curriculum requirements . Electives may be required to satisfy the advanced hour requirement (42) and/or the minimum total hours required for the degree.
Advanced courses in a related field such as business analytics, computer science, digital communications analytics, education analytics, health data analytics and statistics.
Other requirements
A grade of C or higher is required in all Pre-Data Science, Major courses, Professional field, and Supporting field courses. A 2.0 UNT, 2.0 Overall, and 2.7 Professional/Supporting Field GPA is required for graduation.
Four-year degree plan (example)
The following four-year plan is one example of a variety of ways in which you can complete your chosen degree in four years, and will serve as a guide for you to design your pathway to degree completion. Variations will depend on whether you need to take prerequisites or have college credit from exams or dual enrollment.
Year 1
Year 2
Year 3
Year 4
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