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This forum was created for professors and students using Qlik within academia.


We are witnessing a rapid shift towards multi-disciplinary learning which includes a diverse range of subjects which were probably not included earlier. Although not an entirely new step, the need to include multi-disciplinary topics in formal curriculum is more prominent now than ever before. This breadth in interest often supports the theory that breakthrough ideas cannot be attributed to domain- specific expertise alone. Claude Shannon, the person behind the Information Age, studied philosophy during his learning at the University of Michigan. The basis behind inter-disciplinary education is the fact that to develop all round capabilities of a human being, his intellectual, physical, emotional, aesthetic, and moral senses must be shaped well. Ancient Indian education focused on learning, spiritual and physical development, thus being holistic in nature.

Students pursing engineering and design and environment at the National University of Singapore (NUS) from this year will take a new set of seven interdisciplinary modules from this year. The University feels that these modules would converge skills and knowledge required for work. Earlier NUS college of Humanities and Sciences included interdisciplinary modules in areas such as design thinking and scientific inquiry.  The aim of the University is to expose students to knowledge and skills outside their specializations and prepare them for work and society. Among the six “pillars” that have been identified, data literacy is among these.  Clearly, data literacy is gaining increasing prominence since the ability to read, work with, analyze and communicate with data is an important skill to possess. To read more about this article, visit: https://www.straitstimes.com/singapore/parenting-education/nus-introduces-common-curriculum-for-inco...

To know how data literacy and data analytics learning can be a part of your curriculum, visit qlik.com/academicprogram

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