Jun 14, 2024  
[DRAFT] 2024-2025 Undergraduate Catalog 
[DRAFT] 2024-2025 Undergraduate Catalog

Data Science and Analytics, B.S.

Return to {$returnto_text} Return to: Academic Programs

[linked graphic] Program Description [linked graphic] Admission, Enrollment, and Graduation Policies [linked graphic] Program Course Requirements [linked graphic] Have questions? Contact us! Hyperlink to Program Student Learning Outcomes

Program Description

The Bachelor of Science with a major in Data Science and Analytics will provide a student with foundational mathematical, statistical, and computational knowledge, skills, and methodologies within the context of the ethical and professional standards of Data Science. A student will also complete at least 16 hours of courses in either a domain of expertise in data science and analytics or a minor to provide them a context in which to apply their data science abilities. Thus, the degree will enable the student to either begin a career in industry, government, or community and non-profit organizations in a range of domains, or pursue graduate study. 

Students will begin the program by building a foundation in mathematics, statistics, computer programming, and algorithmic techniques.  They will then take 38 credit hours of data science core courses covering the fundamentals of data science, programming, machine learning, data mining, data science ethics, and communication. After completing the core, students will complete 6 credit hours of elective courses in data science and statistical learning. Students will also be required to take at least 16 hours in a suitable domain knowledge concentration to begin exploring an expert area of application.  The program will conclude with a required data science capstone course, in which the student will demonstrate overall knowledge of the discipline by completing a data science project, incorporating all the knowledge learned in the courses.  


 This program is a part of the College of Computing and Software Engineering .


return to top ↑

Admission, Enrollment, and Graduation Policies 

Admission Requirements

This program does not have specific admission requirements and only Admissions  to Kennesaw State University is required. For more information, please visit the Admissions section of the Catalog.

Graduation Requirements

Each student is expected to meet the requirements outlined in Academic Policies: 5.0 PROGRAM REQUIREMENTS & GRADUATION  


return to top ↑

Program Course Requirements 

Core IMPACTS Curriculum (42 Credit Hours)

General Education Core IMPACTS Curriculum  

Core IMPACTS Curriculum Requirements Specific to this Major

Science Majors: Must take MATH 1113  or higher in Mathematics & Quantitative Skills and MATH 1179  or higher in Applied Math.

Science and Engineering Majors: Must take two four-hour laboratory sciences in Natural Sciences. Students must choose from CHEM 1211 /1211L  , CHEM 1212 /1212L  , PHYS 1111 /PHYS 1111L *, PHYS 1112 /1112L  , PHYS 2211 /2211L *, PHYS 2212 /2212L  , BIOL 1107 /1107L  , or BIOL 1108 /1108L  .

*Students cannot take both PHYS 1111/L and PHYS 2211/L nor PHYS 1112/L and PHYS 2212/L.

University Electives (16 Credit Hours)

In accordance with KSU Graduation Policy , students must earn a grade of “D” or better in these courses while maintaining a minimum 2.00 cumulative GPA.

Free Electives (16 Credit Hours)

Select 16 credit hours of 1000-4000 level coursework from the University Catalog. Students are encouraged to take courses that focus on a particular domain with data science applications. These hours can also be used to earn a minor in another discipline.

Program Total (120 Credit Hours)

Return to {$returnto_text} Return to: Academic Programs