Data Analytics, BS (CAGS)

The Bachelor of Science in Data Analytics equips students with the required technical skills common to the analysis of quantitative research data, with special attention to data analysis. This provides students with a deep knowledge of application development and theoretical practice for design, management and use of data analysis for decision-making. By drawing on the key elements of computer science, computational theory, statistics and interdisciplinary applications, these skills in data analytics open doors to most any field that relies on data analytics and decision making. The program also pulls from computer science, computer information technology, data engineering, and information systems management areas. Students are presented with a strong background study in mathematics, statistics, computation and science, and develop a strong foundation in analytical practices. In the advanced coursework students use the concepts and tools of analysts, buyers of research services, and those designing research to know how best to look at data and derive insights for decision-making. Ethics are a critical component of the data analytics program. There is a moral and ethical obligation to not only collect but also to report data in a fair and truthful manner. Beyond these basic ethical and moral considerations, the relationship between data analytics and a biblical worldview is integrated in each course.

The Bachelor of Science in Data Analytics requires completion of the following 120 credit hours, including six graduate-level credit hours:
General Education (39 hours)
Foundations Core (26 hours)
Data Analytics Major Core (51 hours)
Electives (4 hours)