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MSc Engineering Control Systems And Instrumentation

  • DeadlineStudy Details: 1 year

Masters Degree Description

Prepare yourself for a successful career as an engineering professional with an MSc at the University of Huddersfield. Our Engineering Control Systems and Instrumentation course will equip you with the essential skills needed to excel in a modern engineering manufacturing environment, ensuring that you are ready to thrive in the world of work.

This advanced course is ideal for you if your study or research interests include:

The manufacture or use of machine tools and automated equipment for the production of precision engineering components

Process control systems and measurement instrumentation

Manufacturing control, measurement control and computer aided engineering applications

Honing your development and project management skills so you can step into roles in technical design, controls systems and instrumentation and more

Entry Requirements

Entry requirements for this course are normally:

An Honours degree (2:2 or above) in Electrical Engineering, Control Engineering, Mechanical Engineering, Systems Engineering or similar, or in a closely related science subject area such as physics or mathematics or an equivalent professional qualification.

You are also encouraged to apply if you have other qualifications and/or experience and can demonstrate that you are equipped with knowledge and skills equivalent to Honours degree level.

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Fees

See our website for fees

Student Destinations

The top five job titles advertised in the UK for graduate roles associated with Engineering Control Systems and Instrumentation MSc courses are: Control Systems Engineer; Electrical Design Engineer; Maintenance Engineer; Controls Engineer; and Electrical Engineer.

Module Details

Core Modules:

Process Measurement and Control
Manufacturing Systems Automation
Signal Analysis and Processing
Project and Finance Management
Advanced Technical Project
Professional Development and Research Methods

Optional Modules:

Virtual Instrumentation
Parallel Computer Architectures Cluster and Cloud Computing
Modelling of Electromechanical Systems
Wireless Communications For LANs, PANs and the IoT

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