Process Analytics and Quality Technology
In response to the needs of industry, this programme aims to train and enhance the skills of a new generation of postgraduates who have competencies across the boundaries of engineering, science and management.
This multidisciplinary programme is targeted at those wanting a career in the chemical, biochemical or pharmaceutical industries. It bridges the gap between the disciplines of process analytical technologies, process control, chemical engineering, mathematics and statistics, and quality technology. These key training areas are taught together with business and project management.
Each module is of one-week's duration and is worth 10 credits. MSc students take 12 taught modules (120 credits). Diploma students take six taught modules (60 credits). All students undertake an industrial research project (60 credits).
Two foundation modules (20 credits) are selected from: introduction to mathematics and statistics; principles of process engineering; introduction to analytical chemistry. You also choose four optional modules (40 credits) from: time series and system identification; model-based predictive control; chemometrics and signal processing; nonlinear process modeling; methods and techniques of mathematical modeling; mathematical modeling in engineering; environmental management and sustainability; process optimisation in practice. For the MSc, you must also take six compulsory modules (60 credits): quality technology; process control systems; design of experiments and multivariate data analysis; management of multifaceted projects (technology and management); process data modeling; online process analysis.
The industrial research project is a key training element giving you the opportunity to apply your portfolio of skills to new and/or complex multifaceted situations, and to gain experience of solving industrial problems.
North Central Association of Colleges and Schools, The Higher Learning Commission