The Applied Process Control MSc/PGDip will qualify you to manage the challenges of modern process control and process automation technology. It will provide you with advanced understanding of the principles of chemical engineering, and process control and automation methodologies.
Control Engineers apply engineering principles to design, build, and manage sophisticated computer-based instrumentation and control systems in the manufacturing industries. This sector depends on process control and automation technology to maintain a competitive edge.
Through this course you will understand the fundamental principles of chemical engineering and key aspects of: -Mathematics -Statistics -Information technology -Process control and automation methodologies
The interdisciplinary nature of this course qualifies you to manage the challenges of modern process control technology.
Engineers with training in these areas are in demand and enjoy a wide range of careers in the chemical and process industries.
The course is delivered by the School of Chemical Engineering and Advanced Materials.
The MSc requires you to study 120 credits of taught modules and undertake a 60 credit research project. The PGDip requires 120 credits of taught modules only.
Modules to the value of 60 credits are delivered in both semester one and semester two. The Research project is carried out in semester three (June to August).
You have the opportunity to attend lectures and seminars from external industry lecturers. Some of the research projects are industry based and involve guidance from industrial supervisors.
The majority of the modules in semester one run for the duration of the semester, whereas most of the semester two modules are delivered in blocks, ie over one week. All teaching is carried out during weekdays.
We have a Process Control laboratory with four control rigs operated by computer control systems. These rigs are equipped with industrial scale instrumentations.
We also have a dedicated postgraduate computer cluster with relevant software, including: -MATLAB -Simulink -Aspen HYSYS -Multivariate statistical data analysis and monitoring tools (Pre-screen, MultiData, and BatchData)
The Robinson Library has a large collection of text books and journals used by the course.