Program Description/Purpose: The computational and data science specialization is designed for students who wish to pursue a four-year degree in mathematics, statistical research, decision science, data analytics, or data science. The specialization prepares students with the core knowledge and skills needed for entry into baccalaureate schools of education programs in mathematics or data science.
Occupational Outcomes: Students who complete the program specialization can apply for roles at the junior/entry level such as research analysts, data technicians, healthcare analysts, research statisticians, and other data science-related roles. Many employers will hire students at the junior level who have completed their associate degree with the understanding that candidates will complete additional study through the pursuit of a 4-year degree.
Program Student Learning Outcomes
- Students will apply the properties of graph theory to model and gather insights for an authentic (real-world) situation or problem.
- Students will acquire proficiency in the use of transformations of matrices in solving a variety of abstract and applied problems.
- Students will manipulate data, make inferences, and summarize findings of analysis concisely in both graphical and written format.
Transfer Information: students should consult with their advisor to ensure that they select electives that best prepare them for the specific requirements of their intended transfer university’s program of study. More information can also be found at www.laurelridge.edu/transfer.
Courses are displayed under the semester in which they are regularly offered and are recommended to be taken in this sequence to ensure timely graduation. It is possible that a course shown in a particular semester may not be offered due to low enrollment or other factors.
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