School: School of Aerospace, Transport and Manufacturing. This one-year Master of Science (MSc) program focuses on the application of computational intelligence and software techniques for data analysis in engineering contexts. The curriculum will likely cover areas such as machine learning, data mining, statistical analysis, big data processing, software development for data analytics, and potentially applications in areas like predictive maintenance, anomaly detection, or process optimization within engineering industries.

Career options as data scientists or data analysts within engineering companies (e.g., aerospace, automotive, manufacturing), research and development organizations, technology firms providing data analytics solutions for engineering, consultancy firms, and potentially in roles involving AI and machine learning applications in engineering.

Cranfield University has a strong aerospace heritage and uniquely owns an airport, potentially offering specialized resources and connections, including data-driven applications in the aerospace sector. Its Management School is triple-accredited (AMBA, EQUIS, AACSB International), indicating high standards in management and business-related aspects that might complement data analytics skills. The university is a six-time winner of the Queen's Anniversary Prize for Higher and Further Education, recognizing its excellence and impact in various fields.