Bachelor of Science (Industrial Mathematics)

Description of the Programme

Industrial mathematics is the application of mathematical methods in solving problems in the industry. The Bachelor of Science in Industrial Mathematics is therefore tailored to equip students with skills necessary for formulating and developing mathematical models and applying them in solving problems in the industry as well as in engineering, science and medicine among others in society. Industrial mathematics focuses on problems that come from industry and aims for solutions that are relevant to industry, including finding the most efficient (i.e., cost-effective) way to solve the problem. The emphasis is on using mathematical models and computational techniques in solving those problems. By design, students enrolled in the programme will undergo a rigorous study of relevant advanced courses in mathematics, optimization and computational techniques that find applications in the areas of industrial investments. Industrial mathematics is an inherently interdisciplinary field. In addition to mathematics, it draws on tools from applied mathematics, computer science, statistics, chemistry, physics, accounts and engineering, and trains mathematics students how to apply mathematical analysis to problems arising in these areas. With the increasing complexity and sophistication of modern industry, personnel who are able to understand technical issues, who are able to formulate precise and accurate mathematical models, who can implement solutions using the latest computer techniques, and who can convey these ideas to their co-workers who may be managers, engineers, etc, are becoming a necessary part of many organizations and companies. Modern manufacturing and service industries have changed drastically in modern times due to the explosion in the knowledge economy. Fast and inexpensive computing, office products, the development and utilization of large databases, have necessitated sophisticated methods to meet new demands. Industrial mathematics is the enabling factor in realizing and implementing these methods.

Minimum Entry Requirements