
The last decade has seen bigger and faster developments in the technology space than the world experienced in the past century, and this is permeating right the way through to the education programmes and approaches that are shaping our business leaders, doctors and scientists of tomorrow.
In terms of the technology space, big data solutions are quickly becoming one of the most important overall areas. As such, the science behind this relatively new field is gathering pace rapidly, so there has never been a better time to pursue a career in data science career, and the latent data insights have never been so potentially valuable. Much of the current enthusiasm for data science focuses on technologies that simplify the data interpretation process and the related open-source tools applicable for cloud computing, and visualisation environments. While these are all important breakthroughs, the people with the skill and mindset to put them to good use are by far and away the most valuable asset. Data science has one foot squarely in the world of statistics and linear algebra, which are the sorts of applied mathematical skills, but in practicality it is a several steps down the evolutionary line.Read more on STEM:
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As companies increasingly look to find new value from their existing assets and differentiate themselves in crowded and competitive markets, the place of the data scientist to business strategy and objectives is becoming pivotal.
And as demand outstrips supply, a shortage of data science exponents is becoming a serious constraint in many different sectors. In just over a decade we have transitioned from a relatively data-scarce world, to a data-rich world, where the amount of data available is already virtually limitless and doubling almost every other year. The call to action is clear enough: we need data scientists now, just like we continue to need physicists, chemists and biologists.Share this story