The Data Science program prepares students to analyze and interpret large volumes of data—an increasingly critical skill across all sectors.
At the Daytona Beach Campus in Florida, students study statistics, programming, and machine learning while benefiting from extensive research facilities, industry connections, and access to a large technology-focused campus environment.
At the Prescott Campus in Arizona, the program emphasizes smaller class sizes and hands-on, project-based learning within a STEM-focused academic setting that encourages collaboration between data science, engineering, and cybersecurity students.
The program is also available online through the Worldwide Campus, providing a flexible option for working professionals, military members, and remote learners to develop skills in data analysis, machine learning, and data-driven decision-making from anywhere. This interdisciplinary program focuses on the mathematics, statistics, and computer science necessary to understand and employ machine learning algorithms to model observations and make predictions. The program includes a specialization in Applied Data Science. Students who complete the program will gain a deep understanding of and expertise in the typical data science pipeline: gathering, processing, analyzing, and presenting data.
Program-Level Student Learning Outcomes
Students will:
Acquire data from a variety of sources including public research, web pages, and social media.
Assimilate skills acquired through the degree program in application to a capstone project providing solutions to real-world challenges.
Communicate deftly with proficiency in both verbal and nonverbal communication.
Convert unstructured and varied data into analysis-ready form.
Implement data storage and processing architectures across clusters of commodity hardware and cloud resources.
Use data to construct evidence-based solutions.
Manage issues related to program performance, scalability, and high-availability.
Use statistical theory and modern machine learning techniques to model observations and make predictions.
Present actionable results of data analysis in multimedia formats to both technical and nontechnical audiences.
Use software packages and libraries to support data analysis.
The Bachelor of Science in Data Science program requires successful completion of a minimum of 121 credit hours. The program may be completed in eight semesters, or four years, assuming appropriate background and full-time enrollment. Students pursuing this undergraduate degree must earn a minimum cumulative grade point average (CGPA) of 2.00 for all work completed at the University. Students are required to complete a track of specialization and may select coursework from disciplines such as Business, Computer Science, Cyber Security, Economics, Intelligence, Mathematics, Physics, or Psychology, subject to program approval. The courses necessary to earn this degree are listed below.
Students should be aware that many courses have prerequisites and/or corequisites. Students are encouraged to participate in applied practicum experiences, such as internships, cooperative education opportunities, or undergraduate research, to gain practical experience and enhance career readiness.
The Bachelor of Science in Data Science requires successful completion of a minimum of 120 credit hours. Students enrolled in the Worldwide Undergraduate Online program may complete the degree in 20 terms, or approximately four years, assuming full-time enrollment and continuous progress. Students pursuing this undergraduate degree must earn a minimum cumulative grade point average (CGPA) of 2.00 for all work completed at the University. The courses required to earn this degree are listed below.
Students should be aware that many courses have prerequisites and/or corequisites. Students are responsible for ensuring that all prerequisite and degree requirements are satisfied prior to enrollment in advanced coursework. The suggested plan of study is provided as a guide. A student's actual plan of study may vary based on term of admission, course availability, transfer credit, and other academic considerations. Students should consult with their academic advisor to develop an individualized plan of study.
Students are required to complete an approved minor in consultation with their academic advisor. The Applied Data Science and Mathematics minors may not be selected to fulfill this requirement. The selected minor should complement the student's academic interests and career goals while satisfying degree requirements.
