The explosive growth in data collection has created demand for individuals who can understand how to make decisions and predictions in the context of uncertainty through use of experimental design, statistical methods, and programming, especially in the context of large data sets. This need spans many fields such as environmental applications of climate modeling over space and time, medical and genomic applications that use electronic medical records to correlate demographics, genetic data, and clinical outcomes over millions of individuals, national security applications (including real-time monitoring of internet trends), and manufacturing with real-time monitoring of features over a variety of processes to both troubleshoot and optimize manufacturing.
The Data Science BS provides a vigorous curriculum that will prepare students to meet this demand. The Data Science BS currently has several options (General, Business, Chemistry, Computer Science, Economics, Geography, and Mathematics). The pages linked below summarize the specific data science-related course requirements for each option but do not describe broader university or college degree requirements. Additional program requirements related to GPA, minimum grades, credit hours, restrictions, etc. are provided in the university catalog description of the Data Science BS.
If you have questions about the degree program or need advising, please email data.science.advising@ucdenver.edu with your inquiry.