Quality Engineering & Project Management (2024)
This course is designed to provide to students with the necessary knowledge to ensure that products and services have the quality they have been designed for. This approach to managing quality throughout the organization has evolved into what is generally known as Quality Management Systems (QMS). The focus of this module is to provide students with an understanding of the fundamental principles of QMS and how to implement it using a range of tools and techniques.
This module will start off with the overview of QMS with an emphasis on ISO 9000 series which is a key building block in an organisation’s approach to total quality management (TQM) and strategic process improvement (SPI). This will lead to the next topic which is the selection of tools and techniques, and the typical problems found in their use and applications. The next part of this module will cover key concepts of specific quality management techniques such as quality function deployment (QFD), design of experiments (DoE), failure mode and effects analysis (FMEA), statistical process control (SPC), benchmarking and Six Sigma. In the last part of the module there will be an in-depth study of industry-oriented project management topics, through the use of dedicated software. All these will be vital in enhancing the learners’ employability skills, especially those who wish to partake in the Quality Management sectors.
Advanced Engineering Design (CAD/CAE) (2024)
This module is structured to provide an in-depth understanding of fundamental CAD/CAE technologies that support the product development process. The module develops an understanding of the role of these technologies in integrated product development.
The structure of the course provides the student with approximately 50% of the teaching time to focus on practical CAD/CAE applications. This will enable students to acquire a skill set that will enhance their employment prospects in the demanding field of Industrial Manufacturing. The core material is provided with lectures used to elaborate on concepts of integrated CAD/CAE systems.
Robotics and Smart Manufacturing (2024)
The module provides mechanical engineers with an in-depth understanding of the role of robotics in smart manufacturing environments, focusing on the integration of Industry 4.0 principles such as artificial intelligence (AI), real-time data analytics, and advanced automation. The course will cover the design, kinematics, control, and optimization of robotic systems and Automated Guided Vehicles (AGVs) within smart factories, emphasizing their role in enhancing flexibility, adaptability, and efficiency in production. Finally, there will be an in-depth look at production planning topics.
Mechatronic Design & Industrial Control (2024)
This module provides high-level knowledge for the design of mechatronic and automation systems. Applications and types of such systems are discussed. The main components of mechatronic design are presented, including mechatronic design through specialized software, sensors and actuators, control design, and software development for real-time implementation. Analysis of PLC systems for both their operation and programming is also carried out. Theory is implemented in applications through hands-on practical laboratory examples.
Additive and Subtractive Manufacturing & Reverse Engineering (2024)
The module covers modern manufacturing methods and focuses on additive manufacturing (Additive Manufacturing-AM), subtractive (Computer Aided Manufacturing-CAM) and Reverse Engineering (RE). The module covers advanced modeling and manufacturing methods from initial design through manufacturing. It focuses on additive and subtractive manufacturing methods, machining toolpath optimisation & machining simulation and verification. Collision detection and avoidance during machining operations will also be covered.
The course is structured in such a way that 50% of the teaching and learning time is focused on hands-on AM, CAM and RE laboratory work. This will enable students to acquire a skill set that will enhance their employment prospects in the demanding Industrial sector. The core material is delivered through synchronous and asynchronous learning platforms while the core lectures are used to explain the concepts of integrating CAM systems, AM technologies and RE processes in Industrial Production.
Dissertation (2024)
The Dissertation module forms a capstone experience for the MSc course. Drawing on previous knowledge and experience, the Dissertation module allows students to study an area of interest, within their chosen field, in significant depth. In undertaking the Dissertation students will develop not only a deeper understanding of their subject area, but will also be able to demonstrate a high level of autonomy in terms of dissertation planning and management. They will be able to demonstrate knowledge and competence in reviewing existing published literature and data and, through their own efforts, apply one or more of a range of research methods to collect and analyse data and draw well-founded conclusions as a result of their research. All students are encouraged to propose an issue (problem) from their working environment and the main output is a final report. All students are obliged to prepare their work as an article, suitable for submission to a relevant conference or journal.
The intense course structure provides students with the opportunity to identify an industry-based (or research-focused) project area, create a feasible hypothesis, find worthwhile solutions, analyze the results, and propose recommendations. The module enables the student to acquire and evaluate new knowledge and apply individual judgement to solve new and often complex engineering problems using cutting-edge technology. It also enables him/her to demonstrate high levels of responsibility, organisational skills and effective communication with others, including the supervisor, the wider research community and other stakeholders. The course also encourages students to recognize, question and address the ethical dilemmas that are likely to arise in professional engineering practice and research.