Multivariate Data Analysis in Engineering

Education facts

Code: MTK337

<p>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. </p><p>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. </p><p>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. </p>

Entry requirements

120 credits of which 90 credits engineering and/or natural science, and 7.5 credits mathematics. In addition Swedish course B/Swedish course 3 and English course B/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Multivariate Data Analysis in Engineering

  Mälardalen University

  Start date: 1 September 2025

  End date: 9 November 2025

  Pace of study: 50 %