Data Analytics

The Data Analytics program provides a strong base for students interested in developing skills to collect, organize, analyze, interpret and present data. Students completing the program can pursue employment or a baccalaureate degree in the area of data analytics, business analytics, computer science, math, artificial intelligence, and other fields. The combination of courses in mathematics, computer science, and data analytics provides the student with the necessary knowledge and experience to use large data sets to make data driven decisions and to effectively communicate patterns and relationships. Program content is reinforced with hands on experience, and students will be required to apply course content to applications from business and industry.

Technical Standards: Please refer to Technical Standards for details regarding this program.

Upon the completion of the degree in Data Analytics, graduates will be able to:

Identify data sources, types of data, and data structures, including structured and unstructured data.
Remediate raw data as appropriate before analysis including cleaning and restructuring data using software tools and programming skills.
Collect and combine data from multiple sources using database programming (SQL) and related skills.
Use analytical tools to identify patterns and relationships in data sets including time trends, cluster analysis, association analysis, classification, and statistical associations and relations.
Apply data analytics to address real-world problems and communicate results to stakeholders
Visually communicate patterns and relations in data applying best practices of data visualization.
Identify legal and ethical issues in analyzing data and adhere to ethical standards