Upon completion of the module, the student will understand the transition from a traditional enterprise in-house environment to a Cloud based enterprise environment. This involves an examination of concepts such as virtualization at each layer – compute, storage, network, desktop, and application – along with business continuity in a Cloud environment. The student will understand Cloud computing fundamentals, infrastructure components, service management activities, security concerns, and considerations for Cloud adoption.

Current developments with respect to IS technologies and their impact on business models will also be examined; the student will have a knowledge of significant new technology approaches.

1. Evaluate the traditional Enterprise Infrastructure.

2. Identify and implement a Virtualized Storage solution.
3. Design and develop virtualization technology of compute, storage, network, desktop and application layers of IT infrastructure.
4. Analyse business continuity solutions in a virtual data centre

5. Analyse the key considerations for migration to the Cloud

6. Investigate the emerging technology environment for manufacturing.

The objective of this module is to examine how different decision theories, decision tools and data analytical and data visualisation approaches can improve the performance of employees & organisations, and to decide the types of business problems that these theories, tools and approaches can best address. Learning materials include online videos, forum based discussions and problem based learning.

1. Critically evaluate the role of decision theory in enhancing employee and organisational performance as well ascontributingto sustainable development goals

2. Evaluate different decision-making methods, tools, visualisations and interactive dashboards

3. Contrast the different data analytical, data visualisation tools and methods used by organisations

4. Consider risk and uncertainty issues in decision making

5. Critically evaluate different methods for managing risk and uncertainty

6. Appraise how digital transformation can impact decision making and analysis

This module covers the application of Lean Manufacturing techniques to Enterprise-level problems in manufacturing and service industries. Students will identify the Current State of an organisation's processes and, by mapping the process, identifying waste, introducing flow, and making process improvements, develop a Future State. They will look at Lean in the Services Industry and Design. The people-related aspects of Lean will be considered.

1. Evaluate the modern approach to Enterprise-level Engineering, using lean manufacturing techniques and business process reengineering.
2. Assess the principles of Lean Services and develop lean solutions to service problems in an enterprise.

3. Apply Lean principles to the process of product development,evaluate problems and choose solutions.

4. Apply Lean Enterprise engineering techniques such as Value Stream Mapping to map the processes in a value chain, analyse value and waste, identify areas for improvement and solve enterprise problems.

5. Select and apply appropriate change management tools and strategies to optimise the implementation of Lean Thinking in an enterprise.

This module looks at the application of Six Sigma techniques and tools and the "Define, Measure, Analyse, Improve, and Control" (DMAIC) process to solve industry problems and improve processes. It gives students a toolkit of techniques with which to define a problem, collect data about it, look for trends in the data, design experiments to develop new solutions, and ensure that process improvements are sustained.

1. Distinguish and utilise Lean Six Sigma concepts and explain why organisations use them.

2. Identify, select and apply Lean and Six Sigma tools for problem solving, prioritizing problems, evaluating process performance, and propose solutions forprocess improvement and waste reduction, and improved sustainability of the company.

3. Collect, summarise, analyse and interpret data using graphical methods, descriptive and inferential statistics.

4. Communicate findings effectively, accepting responsibility for their own contribution and performance.

5. Examine various codes of ethics for engineers andapply theconcepts of ethics and integrity.

This module will look at technologies that can support digitalisation of manufacturing, continuous improvement and faster time to market.

1. Investigate the use of additive manufacturing in the manufacturingindustry.

2. Select the appropriate technology for optimised traceability.

3. Investigate the use of Automated Guided Vehicles (AGV), Autonomous Mobile Robots (AMR)and intelligent conveyors in process flow.

4. Select and programme a Cobot for a given application.

This module introduce the learner to Digital Twins, which are a virtual replica of the manufacturing process, and can, not only speed up the planning of a new product, but also support training, continuous improvement and maintenance planning when combined with IIoT and other technologies like AR and VR. Learners in the module will gain practical experience on building a digital twin and extracting data to support decision-making.

1. Appraise the benefits of adopting digital twin technologies when planning a new manufacturing process

2. Discuss how Industrial Internet o Things (IIoT) and digital twin technology combine to give a livemodel of a manufacturingprocesses

3. Investigate the use of Virtual Reality (VR) and Augmented Reality (AR) for the design, optimisation and planning of manufacturing processes

4. Develop a 3D model of a manufacturingprocess

This module will look at the data architecture of a manufacturing plant from manufacturing floor up to ERP level in accordance with the ISA-95. Students will learn how to assess an existing data architecture and plan for a new one taking into account validation requirements. On a practical level students will build a SCADA system integrating data from various equipments.

1. Assess the existing data architecture of a manufacturing plant and its components.

2. Design specification for a data architecturebased on user requirements consideringsustainable development goals.

3. Plan horizontal and vertical integration of a data architecture in a manufacturing system.

4. Develop a data management system at SCADA level.

5. Develop anintegration plan considering validation.

The aim of this module is to provide students with the knowledge of entrepreneurship in a business context, and the skills to develop a business plan to enable the commercialisation of a product or service.

1. Analyse the nature of entrepreneurship and entrepreneurs.

2. Design an innovation process to develop a product or service

3. Develop an industry standard business plan.

4. Present a business plan

5. Identify and validate sources of funding for a new venture.

6. Demonstrate the broader business context in which start-ups take place.

This module is industry based. Students will use the knowledge, skills and competences acquired in the programme to identify and implement savings in a manufacturing plant. Students must use the DMAIC Cycle in a structured manner to eliminate waste (MUDA) from processes, products, and other business activities of the student's employer / work experience organisation, while having a positive impact on financial performance. Students have a target of €50,000 annual savings (if the saving from the project were calculated over a year, they would result in saving over € 50,000). The project can be one big project or multiple smaller projects.

1. Develop their ability to work as an individual.

2. Apply the engineering knowledge and experience accumulated throughout the course to a specific problem.

3. Independently conduct research in a particular field of engineering.

4. Apply the DMAIC (Define, Measure, Analyse, Improve, & Control) Cycle to demonstrate the ability to develop original solutions to moderately complex engineering problems.

5. Develop and present a project plan which modularises the project into work packages and identify the resources required to complete the work packages.

6. Report on the Performance of the Project including Scope, Schedule, Cost and Customer Acceptance.

7. Communicate findings and make recommendationthrough different media.