The Data Science and AI for Competitive Manufacturing programme (DS) is a Master of Science level programme within the EIT Manufacturing (EITM) Master School. The EITM Master School is a highly prestigious Manufacturing Engineering and Science education provider on advanced level with a focus on Innovation and Entrepreneurship (I&E). The education at EIT Manufacturing Master School combines technical competence with skills in Innovation and Entrepreneurship. EIT Manufacturing Master School students will be an elite group of forthcoming engineers, ICT experts, operators, innovators, and other relevant professionals.
Data Science and AI for Competitive Manufacturing is a combination of studying manufacturing science and Information and communication technology including the usage and adoption of advanced digital solutions and platforms. During the programme, students will gain new skills in these areas.
- Relevant fields of studies include modelling and simulation, virtual prototyping, service and system engineering, machine learning and data mining.
- Students learn the latest theoretical knowledge and know how to apply their skills in practical real-life problems. Typical application areas of Data Science and AI for competitive manufacturing: Cyber-physical systems (CPS), Information system management, digital monitoring, digital security.
Students will have a solid background with well-founded scientific knowledge with a significant technical and application content, favouring immediate entrance to job market. Typical functions of a DS engineer and ICT expert include quality management, design and management of manufacturing processes, industrial installations as well as machine learning techniques, High-performance computing for data science.