International Master's Programme in Computer Engineering - Intelligent Systems and Networks (INNE)

Utbildningsfakta

Kod: 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.

Behörighet

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.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• International Master's Programme in Computer Engineering - Intelligent Systems and Networks (INNE)

  Mid Sweden University

  Sundsvall

  Startdatum: 31 augusti 2026

  Slutdatum: 4 juni 2028

  Studietakt: 100 %