The holder of a bachelor’s degree in data science and analytics must be able to:

• Collect, analyze, and interpret empirical evidence and communicate problems effectively in written and oral forms. 
• Use key techniques in data science and analytics, statistical analysis, including data mining, machine learning, visualization techniques, predictive modelling, and statistics.
• Apply standard techniques of mathematics, probability, and statistics to address practical problems in a data science career. 
• Accurately analyze complex datasets in various domains and communicate insights clearly to both technical and non-technical stakeholders.
• Apply appropriate modelling techniques to conduct quantitative analyses of large, complex datasets. 
• Use programming languages and software packages to solve data science problems. 
• Summarize and communicate data science findings and insights effectively in written and oral formats to specialized and non-specialized audiences. 
• Apply high standards of ethical conduct and be able to articulate best practices for ethical work in professional practice.