This course is specifically aimed at International students, supporting those wishing to gain practical work based experiential learning. Together with studying your chosen course we are offering an additional 6 month placement opportunity, making the course 18 months in length. This allows students with limited experience to put into practice the skills and techniques developed throughout the Master’s degree.
Engineering management is a specialised field of management concerned specifically with the engineering sector. Reflecting industry demand for management-focused engineers, this course is designed to extend the knowledge, skills and ability of graduates in engineering, technology and applied science to the level required of management positions in the engineering industry.
Industrial productivity and performance of many manufacturing companies is considered by many to be of concern. Part of the underlying cause of this problem is the lack of highly-educated and trained engineering and technology graduates entering the Engineering Management discipline. There has never been a more important time for businesses to have technically competent managers.
During this course you will study advanced modules covering such areas as; project and finance management, new product development, and quality systems and measurements, these modules should provide you with a greater depth of knowledge and skill.
Graduates of this course are likely to progress to roles as an engineering manager. You may also find opportunities in general management in a wide range of sectors, although your skills would be most appropriate in management roles that benefit from a background in engineering, such as manufacturing or technical service industries.
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- Quality Systems and Measurement
- Fundamentals of Management
- New Product Development
- Project and Finance Management
- Professional Development and Research Methods
- Individual Project
- Professional Development and Practice
Choose from a list which may include:
- Manufacturing Systems Automation
- Virtual Instrumentation
- Parallel Computer Architectures Cluster and Cloud Computing
- Process Measurement and Control
- Advanced CAD
- Wireless Communications for LANs, PANs and the IoT
- Modelling of Electromechanical Systems
- Advanced Thermofluids