Data science career preference of Nigeria University students

This study examined the data science career preference, data science skills, and core competencies of 416 students from fourteen Nigerian universities using a Google Forms-created structured online questionnaire. A convenience sampling technique was adopted to select the participants. Data were analysed using both descriptive and inferential statistics, including Structural Equation Modeling (SEM). Results were presented using tables, figures, and charts. Three hypotheses were tested to guide the discussion. The findings showed that while core competencies had no positive significant effect on career preference, data science skills had positive significant effect on career preference, and a positive significant relationship with core competencies. By providing insightful information about the participants' degree of data science knowledge, abilities, and core competencies, this research adds to the body of previous knowledge. Additionally, it shows patterns in students' preferences for careers in data science, which has consequences for developing curriculum and training data scientists in Nigeria.