Corresponding to rapid advances of modern science and technology, the frontiers of engineering application are continuously expanding. While the contents of engineering disciplines are quickly increasing, cross-disciplinary training is becoming even more critical. The need for broad knowhow is also a necessity for engineering related management and business practices. The Department of Engineering Science under the Faculty of Innovation Engineering is created in response to these challenges. The Department provides training that emphasizes on a solid foundation in mathematics, science, and technology whilst providing students with broad interdisciplinary exposures (with area of concentration). The foundation is a pre-requisite to build the capacity to pursue advanced work. The goal of the Department is to produce engineers who can deal with the technically multifaceted nature of projects and thus can create solutions with comprehensive considerations. Areas of concentration include applied mathematics and data science, intelligent systems engineering, biotechnology, integrated simulation, and management engineering. The Department is planning to offer bachelor degree programs in Automation and Systems Engineering and Interdisciplinary Engineering*. At present the Department is running a Master of Science degree program in Intelligent Technology and one Doctor of Philosophy degree program in Intelligent Science and Systems.
The Department has made significant research contributions on engineering science. According to the report of “Essential Science Indicators (ESI)” in May, 2019 made by Clarivate Analytics (former Thomson Reuters), the rank of the Engineering field of M.U.S.T. falls into the top 1% among universities and research institutes across the world. Also, according to the Shanghai Ranking’s Global Ranking of Academic Subjects announced in 2021, Control Science and Control Engineering is ranked 51-75 of the around 500 universities in the world.
The Department of Engineering Science is composed of international high-level researchers from broad disciplines. It is developing to become a first-class research and education institute in the Greater Bay Area, to produce innovative talents in intelligent production, intelligent robotics, digital twin systems, biotechnology, and management engineering.
* Choice from three concentrations: Biotechnology, Integrated Simulation, Management Engineering.