AI-driven Decision Support Systems for Energy and Production Operations

Education facts

Code: ERA323

This course explores the integration of artificial intelligence (AI) in decision support systems specifically tailored for the energy and production sectors. You will learn how AI technologies, such as machine learning, optimization, and data analytics, are transforming traditional operational strategies, enhancing decision-making processes, and driving efficiency in energy and production operations. The course covers foundational concepts of AI and decision support systems, along with practical applications such as predictive maintenance, demand forecasting, process optimization, and real-time decision support. Through hands-on projects, case studies, and industry-relevant examples, you will gain insight into designing and implementing AI-driven solutions that improve operational performance, reduce costs, and support sustainability goals. By the end of the course, you will be equipped with the skills to develop and apply AI-driven decision support systems to solve complex challenges in energy and production environments. This course is ideal for professionals and students interested in leveraging AI for operational excellence in the energy and production industries.

Entry requirements

90 credits in engineering/technology, or 30 credits in engineering/technology and at least 2 years' experience in full-time employment in a relevant area within industry, or at least 3 years' experience in full-time employment in a relevant area within industry. In addition, English course 6 or English level 2 are required.

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.

• AI-driven Decision Support Systems for Energy and Production Operations

  Mälardalen University

  Ortsoberoende

  Start date: 18 January 2027

  End date: 28 March 2027

  Pace of study: 25 %