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    Nov 22, 2024  
2022-2023 Undergraduate Catalog 
    
2022-2023 Undergraduate Catalog [ARCHIVED CATALOG]

Data Science, BS


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.

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.

Minor


None.

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

Semester 1 Semester 2
MATH 1650 - Pre-Calculus   5 hours   MATH 1680 - Elementary Probability and Statistics   3 hours  
Communication core   3 hours  Communication core   3 hours
Component Area Option A core   3 hours Government/Political Science core   3 hours
Government/Political Science core   3 hours Social and Behavioral Sciences core   3 hours
Elective 3 hours Elective 3 hours
Total 17 hours Total 15 hours

 

Year 2

Semester 1 Semester 2
CSCE 1030 - Computer Science I   4 hours   CSCE 1040 - Computer Science II   3 hours  
American History core   3 hours  American History core   3 hours 
Language, Philosophy and Culture core   3 hours  Creative Arts core   3 hours 
Life and Physical Sciences core   3 hours  Life and Physical Sciences core   3 hours 
Data Science Professional Field 3 hours  Data Science Professional Field 3 hours 
Total 16 hours Total 15 hours

 

Year 3

Semester 1 Semester 2
INFO 3010 - Introduction to Data Science   3 hours   INFO 4050 - Statistical Methods for Data Science and Analysis   3 hours  
INFO 3020 - Introduction to Computation with Python   3 hours   INFO 4501 - Principles of Data Science and Analytics   3 hours  
Component Area Option B core   3 hours  Data Science Professional Field 3 hours 
Data Science Professional Field 3 hours  Elective 3 hours 
Elective 3 hours  Elective 3 hours 
Total 15 hours Total 15 hours

 

Year 4

Semester 1 Semester 2
INFO 4670 - Data Analysis and Knowledge Discovery   3 hours   INFO 3901 - Data Science Internship Project   3 hours   
INFO 4707 - Data Modeling and Data Warehousing   3 hours   INFO 4730 - Digital Curation and Preservation   3 hours  
INFO 4907 - Data Visualization   3 hours   Data Science Professional Field 3 hours
Data Science Professional Field 3 hours  Data Science Professional Field 3 hours 
Data Science Professional Field 3 hours     
Total 15 hours  Total 12 hours