A CDIO Oriented Curriculum for Division of Data Science and Big Data Technologies: The Content, Process of Derivation, and Levels of Proficiency

Abstract

Undergraduates from the division of data science and big data technologies must graduate with a series of technical knowledge. The personal, interpersonal and mathematical modeling skills, as well as acquiring, storing, analyzing, and visualizing data, should be possessed under a curriculum to combine technical expertise with ethical, innovative, philosophical and humanistic acumen. The goal of engineering education is not only a description of the knowledge, skills and attitudes appreciate to university education, but also an indication of the level of proficiency expected of graduating students. This paper aims to translate of the underlying requirements for the division of data science and big data technologies into a formal set of goal, and the level of proficiency under the Conceive-Design-Implement-Operate (CDIO) initiative’s objective. The curriculum consists of a list of syllabuses derived through a consensus process to the appropriate list of knowledge, skills and attitudes possessed by fresh engineers.