Just as industry is dynamic, constantly evolving according to the state of technology, economics, politics and so on, so must be, higher education. Studies have shown that higher education, for the past century, has constantly adapted to the dynamic skill and knowledge requirements of industry. This adaptation, however, is not always timeous and precise resulting in a widening gap between industry skill requirements and the skills that graduates receive during tertiary learning. This gap can be narrowed if higher education develops futuristic models that prepare students for not only the present day, but the future as well. Higher education in the fields of science, technology and engineering in particular, are in critical need of this future-prediction approach given the high levels of constant, and in some cases, even accelerating change or dynamics. This study develops a concept for industrial engineers of the future and demonstrates that is it possible to better prepare graduates for the uncertain future, by predicting some key skill requirements of industry ahead of time from information of yesterday and today.