Artificial Intelligence for Visual Anomaly Detection A1N

Education facts

Code: VP767A

The published source does not provide a description.

Entry requirements

A Bachelor’s degree equivalent to a Swedish kandidatexamen of 180 credits, within the main fields of integrated product development, production engineering, automation engineering, mechanical engineering or information technology (or the equivalent) and passed courses VP702A Computational Intelligence A1N (or the equivalent). A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6 or English level 2 (or the equivalent). This is normally demonstrated by means of an internationally recognized language test, e.g. IELTS or TOEFL.

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.

• Artificial Intelligence for Visual Anomaly Detection A1N

  University of Skövde

  Skövde

  Start date: 31 August 2026

  End date: 1 November 2026

  Pace of study: 40 %