International Master's Programme in Computer Engineering - Visual AI (VISA)

Education facts

Code: TDAAA

Are you ready to shape the future of technology? Join this Master's programme in Computer Engineering and specialize either in Visual AI or Intelligent Systems and Networks domains. Depending on your specialization track choice, you will discover a new world enabled by visual processing or limitless applications of the Internet of Things and distributed computing systems. By attending this programme, you will gain in-depth experience in applying artificial intelligence to real-world problems, preparing you to unlock exciting career possibilities in high-tech companies.

Entry requirements

For Visual AI specialization: Degree of Bachelor (at least 180 credits), Degree of Bachelor of Science in Computer or Electrical Engineering (at least 180 credits), or equivalent, with at least 30 credits in Mathematics/Applied Mathematics, including courses in probability theory and statistics and linear algebra, and 60 credits in Computer Engineering including a course in object oriented programming. English level 2/English 6 from Swedish Upper Secondary School (Gymnasium) or the equivalent. For Intelligent Systems and Networks specialization: Degree of Bachelor (at least 180 credits), Degree of Bachelor of Science in Computer or Electrical Engineering (at least 180 credits), or equivalent, with at least 30 credits in Mathematics/Applied Mathematics, including courses in probability theory and statistics and discrete mathematics, and 60 credits in Computer Engineering including a course in object oriented programming. English level 2/English 6 from Swedish Upper Secondary School (Gymnasium) or the equivalent.

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.

• International Master's Programme in Computer Engineering - Visual AI (VISA)

  Mid Sweden University

  Sundsvall

  Start date: 31 August 2026

  End date: 4 June 2028

  Pace of study: 100 %