Industrial Big Data Analysis and Mining

Module code: COS7050-B

Nowadays, large amounts of data are collected from many different sources. This data can be used to enhance society's benefits and impact by evaluating its quality and relevance, integrating with existing information and digital resources, extracting patterns and creating new knowledge for decision support in engineering, healthcare and wellbeing, and society sustainable development. However, large amounts of data create continuous challenges for relevant and practical usage in the industry. This module enables students to develop specialist knowledge in data analysis and mining using machine learning techniques, which is required to apply data science principles and provide data-driven, innovative engineering solutions. The module is intended for Engineering, Management, Data Analytics, Computer Science and similar subject graduates to gain hands-on development of advanced knowledge and skills in applying data-driven machine learning techniques in support of robust big data-based decision-making. Students will explore how machine learning applied to industrial big data resources can support knowledge discovery for decision-making in domains such as industry 4.0, product design and development, and product quality management. The module will also address such projects' legal, social, ethical, and professional aspects. Download the PDF for COS7050-B_2023_4.pdf