MSc Control and Systems Engineering

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Comments about MSc Control and Systems Engineering - At the institution - Sheffield - South Yorkshire

  • Objectives
    Designed to meet the requirements of those already working in industry. We recognise that attendance by delegates will be dependent on industry priorities, and this is reflected in the flexible time-scale for the course. Delegates will study existing Masters-level modules alongside full-time students. These modules are offered as a series of free-standing short courses for Continuing Professional Development (CPD), or, by undertaking the assessment, successful delegates will be awarded M-level credit which could contribute to the award of a Postgraduate Certificate, Postgraduate Diploma or an MSc.
  • Academic title
    MSc Control and Systems Engineering
  • Course description
    MSc Control and Systems Engineering

    This programme offers flexibility and choice in mode of study and payment plan and provides an opportunity for individuals who are in employment or on a career break to gain a Postgraduate Certificate (60 credits), Postgraduate Diploma (120 credits), or an MSc (180 credits) in Control and Systems Engineering

    Students have a maximum of five years to earn up to 180 credits. The taught modules run in 1 or 2 week blocks (depending on their credit value), during which full-time attendance at lectures and tutorials is necessary.

    The maximum study period of five years allows engineers considerable flexibility in achieving a postgraduate award while continuing to pursue a career in industry.

    Module List
    Course Code and Title Number of Weeks Credits
    -Foundations of Control Systems
    -State-space, Optimal Control and Nonlinear Systems   
    -Signal Processing, Estimation and Image Processing
    -Optimisation and Search
    -Embedded Control Systems
    -Robust and Multivariable Control
    -Distributed Real-Time Systems
    -Adaptive and Self-Tuning Control
    -Systems Reliability and Risk Assessment  
    -Predictive Control 
    -Fault Detection, Diagnosis and Prognosis   
    -An Introduction to Neural Networks 
    -Active Noise and Vibration Control
    -Fuzzy Logic, Modelling and Control   
    -Robotics and Vision

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