Multivariate Data Analysis in Engineering

About this programme

The application of multivariate data analysis methods and a tremendous increase in available computational power have opened great opportunities to address present and future engineering challenges. If you want to learn how the modern multivariate data analysis, including artificial intelligence (AI) and machine learning algorithms, can be used to address engineering challenges - then this course is for you. The course will provide you with the essential knowledge that enhances your capabilities to solve complex engineering problems, within fields such as waste management, energy, agriculture, water management, weather forecasting - and thereby contributing to sustainable development. Distance learning Mandatory sessions on campus: 0 Optional sessions on campus: 0 120 credits of which 90 credits engineering and/or natural science, and 7.5 credits mathematics. In addition, Swedish course 3 or Swedish level 3 and English course 6 or English level 2 are required. For courses given entirely in English exemption is made from the requirement in Swedish course 3 or Swedish level 3. If you have any questions about the course, please contact the Course Coordinator.