Electrical Engineering MA, Applied Machine Learning

Education facts

Code: ET003A

AI and machine Learning are gaining ground in industry and government, and knowledge of how to apply machine learning is becoming increasingly important. The purpose of the course is to provide an introduction to several subfields within machine learning and to orientate about basic methods and algorithms available in these fields. To convey breadth and depth in machine learning and its application in measurement technology.

Entry requirements

Degree of Bachelor of Science, Degree of Bachelor of Science Engineering (at least 180 credits), or equivalent, with at least 60 credits in Electrical Engineering or Computer Science.

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.

• Electrical Engineering MA, Applied Machine Learning

  Mid Sweden University

  Start date: 22 March 2027

  End date: 6 June 2027

  Pace of study: 50 %