Ньюкаслский университет, MSc, Industrial Quality Technology
Master's students take 12 taught modules (120 credits), diploma students take 6 taught modules (60 credits) and all students undertake an industrial research project (60 credits); all students must take the foundation module (introduction to analytical chemistry) and either introduction to mathematics and statistics or principles of process engineering; students also choose 4 optional modules (40 credits) from a list that typically includes time series and system identification; model-based predictive control; chemometrics and signal processing; nonlinear process modelling; methods and techniques of mathematical modelling; mathematical modelling in engineering; environmental management and sustainability; process optimisation in practice; management and enterprise; Master's students must also take 6 compulsory modules (60 credits) covering quality technology; process control systems; design of experiments and multivariate data analysis; management of multifaceted projects (technology and management); process data modelling; online process analysis.
Вступительные требования
Students must satisfy 1 of the 1st 2 plus the 3rd criteria: (1) minimum of a 2nd-class Honours degree, or equivalent, in an appropriate subject; (2) full-time employment at a professional level within the chemical, biochemical, pharmaceutical, food or material manufacturing industries or in the analytical, instrumentation and control systems sectors; (3) satisfactory references; applicants whose 1st language is not English require IELTS 6.5, TOEFL 90 (internet-based), 577 (paper-based), or equivalent.
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In response to the needs of industry, this programme trains and enhances the skills of a new generation of postgraduates to give them competencies across the boundaries of engineering, science and management; it is a multidisciplinary programme targeted at those wanting a career in the chemical, biochemical or pharmaceutical industries, and bridges the gap between the disciplines of process analytical technologies, process control, chemical engineering, mathematics and statistics, and quality technology.
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