This program is designed to provide in-depth coverage topics of industrial and applied mathematics in two sub-specializations, namely (i) Data Computing, and (ii) Computational Mathematics. The program caters two pillars of Industrial Revolution 4.0 (IR 4.0) including simulation and big data computing. The program emphasizes embedded case study in all courses that enables students to integrate theory and application as well as using mathematical software such as Python, R Language, VBA, EXCEL, MATLAB, TORA, Minitab and KNIME as the vital computational tools. The program also requires every student to complete a project dissertation based on a chosen applied and industrial problems. The program caters to fresh graduates and professionals, especially the non-mathematics degrees holders, who aspire to enhance their knowledge and competency in one of the sub-specializations being offered. Applicants who possess a first degree in any of the following specializations: Statistics, Mathematics, Finance, Economy, Computing, Engineering and Sciences as well as good mastery in undergraduate mathematics courses are welcomed to apply.
This program is designed to provide in-depth coverage topics of industrial and applied mathematics in two sub-specializations, namely (i) Data Computing, and (ii) Computational Mathematics. The program caters two pillars of Industrial Revolution 4.0 (IR 4.0) including simulation and big data computing. The program emphasizes embedded case study in all courses that enables students to integrate theory and application as well as using mathematical software such as Python, R Language, VBA, EXCEL, MATLAB, TORA, Minitab and KNIME as the vital computational tools. The program also requires every student to complete a project dissertation based on a chosen applied and industrial problems. The program caters to fresh graduates and professionals, especially the non-mathematics degrees holders, who aspire to enhance their knowledge and competency in one of the sub-specializations being offered. Applicants who possess a first degree in any of the following specializations: Statistics, Mathematics, Finance, Economy, Computing, Engineering and Sciences as well as good mastery in undergraduate mathematics courses are welcomed to apply.
