Smart manufacturing involves the use of interconnected machines and tools to improve performance and optimise the use of energy and labour. It is achieved through the application of big data processing, artificial intelligence, advanced robotics, and the seamless interconnectivity of these components. Smart manufacturing refers to the digitalisation of manufacturing at all levels: product design, supply chain, production, distribution, and sales. Artificial intelligence and digitalisation are seen as key enablers that should strengthen the necessary skills in manufacturing engineering and management. A critical element for industries in this context is how they design and optimise their manufacturing engineering, operations and maintenance management. How to make the best use of resources, including energy, to ensure sustainability in line with the European Green Deal. Manufacturing engineers can analyse machine and sensor data to improve operational efficiency and avoid downtime. Smart manufacturing facilitates the collection and analysis of data to reduce waste and improve productivity. It facilitates the circular economy and ensures sustainability for society. The manufacturing sector is particularly affected by the skills gap. Many factories are unable to find workers with the skills they need. According to recent studies, around 2.1 million US manufacturing jobs will go unfilled between 2020 and 2030. Europe's manufacturing sector is already facing similar challenges. Therefore, there is a need for engineers who are qualified and trained in smart manufacturing skills. The proposed Smart Manufacturing Engineering and Management (SMEM) programme will focus on the skills needed to manage smart manufacturing and operations and improve their competitiveness. SMEM will contribute to several United Nations Sustainable Development Goals and will be designed as a joint Master's programme, allowing students to study at 5 top universities with expertise in the areas.