Note: As of the publication of the 2019-2020 academic catalog, the Bachelor of Applied Science-Data Analytics is not yet available to students. Course requirements to complete the degree are still under development, and pre-enrollment and general education requirements listed here are the recommended courses to prepare for the degree as of August 2019.
The Wenatchee Valley College BAS-DA Degree Program aims to prepare students to enter the workforce with a Bachelor of Applied Science Degree in Data Analytics. Graduates will be prepared to find jobs in a variety of industries particular to North Central Washington.
As an emerging field, Data Analytics refers to collecting, identifying and interpreting both qualitative and quantitative data. This data can be used to inform industry related to productivity or other business decisions as well as inform researchers seeking to support or argue against theories and hypotheses. The BAS-DA program at WVC aims to equip graduates with a broad depth of knowledge. This knowledge will be transformative for students, including topics such as applied statistics, management science, study design, modeling in discrete- or continuous-time, sampling methods, forecasting, machine learning, and current trends in business intelligence tools. All coursework has grown directly from conversations with local business partners.
WVC’s Associate in Technical Science Degree program in Computer Technology is one feeder program into the BAS-DA degree. If students are interested in the BAS-DA degree, they are advised to enroll in the pre-calculus math sequence during their two-year program of study, as well as CSC 110. Students need to be ready for upper division course work in math and science when they begin the BAS-DA degree.
Students pursuing an Associate of Technical Science Degree (ATS) in Computer Technology (Network Administration) will be able to significantly broaden their skillset by following a specific pathway to the BAS-DA. Having the BAS-DA in addition to the ATS can provide graduates with well-rounded knowledge and expertise in both computer hardware and data analytics.