Creating a robust curriculum is key to ensuring success in an academic degree. This paper provides insight into the use of data science tools to enhance curriculum mapping in higher education. Using course learning outcomes and program learning outcomes, a network map is produced to ensure synthesized outcomes that can allow for great success of a program and enforce student education. Based off this project, different departments and universities can obtain insightful information about their own curriculum and how successful their curriculum mapping is. Students can also benefit from seeing the way course learning outcomes map to their program learning outcomes which could guide them through their studies and future careers.
Application of Network Models to Assist in Data Science Curriculum Using Program and Course Learning Outcomes
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