Data Science and Analytics, B.S.

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.

Program Student Learning Outcomes

Students who successfully complete this program will be able to: 

1. Write code to perform data analytics using various statistical programming languages.
2. Obtain, clean, process, and transform data for analysis utilizing legacy and modern modeling approaches.
3. Apply fundamental statistical and analytical methods and techniques to mine and visualize data for patterns and relationships.
4. Apply the data science lifecycle steps to identify, build, and evaluate appropriate models for a variety of data science tasks.
5. Interpret and effectively communicate decisions made, approaches used and results to clients in a professional manner.
6. Identify and analyze social, legal, and ethical issues relating to the use of data, models, and algorithms.

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

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Admissions, Enrollment, and Graduation Criteria

Admissions Criteria

Admission to this program is open to all students who meet Kennesaw State University’s general admission standards. Visit the Admissions  section of the Catalog for more details.

Enrollment Criteria

This program does not have specific enrollment requirements. 

Graduation Criteria

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

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Program Course Requirements