Engineering Technology Management – BEng

This module introduces the learner to the fundamentals of Operations Management, Entrepreneurship, and innovation in an engineering context. The module aims to equip the learner with a knowledge base of company structures in industry, and the basic principles of operations management. The learner is exposed to the fundamentals of engineering operations management, which provides tools and techniques for understanding product and process design, together with the manufacturing process and requirements ensuring businesses work more successfully in terms of resources and processes. The learner is introduced to Innovation and Entrepreneurship, which is a common stream throughout subsequent modules in the course.

To develop an understanding of the basic laws of physics and their application to engineering.

Engineering Drawing is an essential communication technique for those involved in Engineering, the aim of this module is to give the student a comprehensive introduction to the standards used in the preparation of Engineering drawings. Computer Aided Design (CAD) systems are now the typical means by which Engineering drawings are produced, students will use 2D and 3D CAD software to prepare a portfolio of their work.

Develop a recognition of the basics of engineering mathematics and use them to solve practical engineering problems.

This module aims to introduce the student to the fundamental production technologies for fabrication(i.e. stock materials through assembly to finished product) and manufacturing (i.e. raw material to finished product) process and provide students with the knowledge to select appropriate materials for manufacturing an engineering component or structure, with considerations to constraints and suitability of manufacturing process within specific industries (aviation, medical device, heavy industry). And also gives the students an understanding of production logistics and materials handling for the life cycle of an engineering component within specific industries.

This module introduces the learner to ‘Microsoft Office 2016’ computing applications including MS Word, MS Excel, MS Powerpoint, MS Access and MS Project. Learners will start with basic applications and then progress through to an advanced level. The learner will develop a knowledge of how to apply the software to useful engineering applications such as formal report writing (laboratory), charting engineering data, producing equations and creating a technical database.

Develop a basic understanding and working knowledge of the fundamentals of electrical and electronic technology and their applications in engineering.

This module introduces the learner to the fundamentals of Operations Management, Entrepreneurship, and innovation in an engineering context. The module aims to equip the learner with a knowledge base of company structures in industry, and the basic principles of operations management. The learner is exposed to the fundamentals of engineering operations management, which provides tools and techniques for understanding product and process design, together with the manufacturing process and requirements ensuring businesses work more successfully in terms of resources and processes. The learner is introduced to Innovation and Entrepreneurship, which is a common stream throughout subsequent modules in the course.

To develop an understanding of the basic laws of physics and their application to engineering.

Engineering Drawing is an essential communication technique for those involved in Engineering, the aim of this module is to give the student a comprehensive introduction to the standards used in the preparation of Engineering drawings. Computer Aided Design (CAD) systems are now the typical means by which Engineering drawings are produced, students will use 2D and 3D CAD software to prepare a portfolio of their work.

Develop a recognition of the basics of engineering mathematics and use them to solve practical engineering problems.

This module aims to introduce the student to the fundamental production technologies for fabrication(i.e. stock materials through assembly to finished product) and manufacturing (i.e. raw material to finished product) process and provide students with the knowledge to select appropriate materials for manufacturing an engineering component or structure, with considerations to constraints and suitability of manufacturing process within specific industries (aviation, medical device, heavy industry). And also gives the students an understanding of production logistics and materials handling for the life cycle of an engineering component within specific industries.

This module introduces the learner to ‘Microsoft Office 2016’ computing applications including MS Word, MS Excel, MS Powerpoint, MS Access and MS Project. Learners will start with basic applications and then progress through to an advanced level. The learner will develop a knowledge of how to apply the software to useful engineering applications such as formal report writing (laboratory), charting engineering data, producing equations and creating a technical database.

Develop a basic understanding and working knowledge of the fundamentals of electrical and electronic technology and their applications in engineering.

This module in Advanced Regulatory affairs aims to provide learners with a fundamental understanding of EU and international regulatory systems required for process engineering. The module will cover the role of regulatory affairs, classification, regulatory structure, and the impact of various submission pathways as they apply to medical devices, pharmaceutical, Biopharmaceutical and Food manufacture. This module will enhance a learner’s career in regulatory affairs by developing increasing levels of competence and professionalism by obtain a formal qualification in industry.

To investigate the environmental context of management, to examine the theory supporting management practice and to explore key management functions and the skills needed for managerial success.

This module will facilitate an in-depth understanding of quality and quality management, from the various definitions of quality, through to the practical application of systems and processes to manage quality.
The module will draw from International Standards for Quality Management, the teachings of the various quality Gurus, National and International Quality Awards, and self-assessments models.
Learners will develop skills to become leaders and innovators in the application of Quality principles and techniques and develop as quality management professionals for senior roles in the service and manufacturing industry.

Strengthen the knowledge of mathematical fundamentals with the aim of solving more complex practical Engineering maths problems.
Develop programming, debugging and engineering computation skills using a simple programming software such as Visual Basic in Excel.

This module introduces the learner to the tools and techniques required for new product development and for optimally and systematically designing a product and a process.
The module will also introduce the learner to the Principles and Tools of Design thinking for Product and Process Innovation.

The aim of this module is to strengthen knowledge of engineering science fundamentals with the aim of solving complex practical problems.

This module in Data Analysis aims to provide learners with an introduction to the statistical principles used in data analytics and their application using a suitable statistical package required for use in engineering. The module will cover the role of basic statistical concepts while also introducing the handling of data. This module will enhance a learner’s career in data analytics by developing increasing levels of competence and professionalism by obtaining a formal qualification in industry.

To provide learners with an introduction to the organisational setting and dynamic and examine the role of management as an integrating activity. To offer an integrated view embracing both theory and practice and cover the broad range of influences which drive organisational behaviour.

This module provides an introduction to methods, concepts, and theories associated with Lean manufacturing, Quality Management Systems (QMS) and Six Sigma.
The aim of the module is to equip the student with the ability to select and implement a range of Lean based tools and techniques to improving operations within the firm and across the supply chain.
Techniques such as Just in Time and Kanban, Total Quality management are explained.
Decision-making and problem-solving tools such as control charts, process flow diagrams, Pareto charts, and fishbone charts are explained.
Introduce Six Sigma mythology DMAIC.

Strengthen the knowledge of mathematical fundamentals with the aim of solving more complex practical Engineering maths problems.
Develop programming, debugging and engineering computation skills using a simple programming software such as Visual Basic in Excel.

This module introduces the learner to the tools and techniques required for designing a product and a process, Design analysis, Machine design, Product and Process simulation methodology, Industry awareness.
The module will also introduce the learner to Design thinking integration in Companies for generating Innovation in Product and Process Design.

The aim of this module is to strengthen knowledge of engineering science fundamentals with the aim of solving complex practical problems.

This module is the work placement element for candidates on the Level 7 Degree and Level 8 Honours Degree programmes in the Mechanical and Automobile Engineering Department. The aim of this module is to give learners the opportunity to apply the practical skills and theoretical knowledge that they have gained in previous stages of their programmes while being employed in a supervised professional engineering industry.
The Engineering work placement is a semester-long work placement in an engineering organisation. During this time the learners will aim to transfer and build upon the knowledge, skills and competencies that they have gained in the previous stages of their programme. This enhanced learning will be used by candidates who are continuing onto a Level 8 programme.

This module allows the learner to develop their skills in product and process design by applying their knowledge to a real world, industry-based design problem. The module proceeds Work Placements, where the students may have secured a topic to apply their design knowledge to. The learner is given the opportunity to develop their communication skills through formal presentation and report writing to present project work.

This module aims to present a broad perspective of Industry 4.0, and the industrial application of Internet of Things (IoT) technologies, with the advancement of smart factories and smart manufacturing. To introduce the student to industrial sensors and their application in automation. To introduce the student to automatic identification and data capture (AIDC) technologies
linked to production control and inventory. To introduce the student to material handling and transportation systems within a production environment. To introduce the student to Computer Aided Quality Controls

The aim of this module is to provide a detailed and in-depth understanding of mathematical concepts, which will allow the learner to be able to apply this knowledge to solve practical and relevant process engineering problems.

This module will give learners a detailed knowledge of the relationships between an engineering component structure/mechanics and materials properties. On the basis of these structure mechanics – material properties correlations, the learners will be equipped with tools of designing new products or systems using existing materials that will fulfil the prescribed functionality. They will get a detailed insight into current product/process design and materials properties and characterisation techniques which will form an integral part of the engineering design process.

This module in Data Analysis aims to provide learners with advanced knowledge in data analytics and the emerging range of systems for dealing with Big Data. This module will enhance a learner’s career in statistical data analytics by developing increasing levels of competence and professionalism by obtaining a formal qualification in industry.