The current global computing curriculum guidelines including MISI2016, IT2017 and IS2020 are built to promote and facilitate competency-based higher education programs development and to enhance graduate employability. Their applications however are facing challenges in understanding, interpretation and operationalization. Taking data analytics and data engineering, this study shows how these guidelines are used to discover and analyze competencies, the boundaries between typical IT and IS programs and between IS undergraduate and postgraduate programs and further, the gaps for these programs to fill to incorporate professional practice competencies. The global skills frameworks are invoked and SFIA 7 is used to assist analysis.