Data Science and Analytics, B.S.

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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 .

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Admission, Enrollment, and Graduation Policies

Admission Requirements

This program does not have specific admission requirements and only admission 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 rquirements outlined in Academic Policies: 5.0 PROGRAM REQUIREMENTS & GRADUATION

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Program Course Requirements

General Education Core Curriculum (Areas A-E) (42 Credit Hours)

General Education Core Curriculum

General Education Core Curriculum Requirements Specific to this Major:

Science Majors must take MATH 1113 or higher in Area A2 and MATH 1190 or higher in Area D1.

Science and Engineering Majors must take two four-hour laboratory sciences in Area D2. Students must choose from CHEM 1211/L, CHEM 1212/L, PHYS 1111/L*, PHYS 1112/L*, PHYS 2211/L*, PHYS 2212/L*, BIOL 1107/L, or BIOL 1108/L.
* Students cannot take both PHYS 1111/L and PHYS 2211/L nor PHYS 1112/L and PHYS 2212/L.

Lower Division Major Requirements (Area F) (18 Credit Hours)

Major Requirements (38 Credit Hours)

One carry over credit hour from Area D1
One carry over credit hour from Area D2
DATA 3010:Computer Applications of Statistics
STAT 3120:Statistical Methods I
or
STAT 3125:Biostatistics
STAT 3130:Statistical Methods II
DATA 3230:Data Visualization
MATH 3260:Linear Algebra I
DATA 3300:Data Science Ethics
CSE 3153:Database Systems
or
CS 3410:Introduction to Database Systems
DATA 4000:Data Science Communication
DATA 4030:Programming in R
or
DATA 4140:Python for Data Science
STAT 4210:Applied Regression Analysis
DATA 4310:Statistical Data Mining
DATA 4990:Data Science Capstone

Major Electives (6 Credit Hours)

Select six credit hours from the following:

Related Studies (16 Credit Hours)

A minimum of sixteen hours of additional courses taken at the 1000-4000 level. 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.