Master's Programme in Data Science – Image Analysis and Machine Learning

Semester 1

Recommended courses

• Introduction to Image Analysis, 10 credits (1MD110)

  Semester 1, period 1: 5 credits Semester 1, period 2: 5 credits
  Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Image Analysis and Machine Learning A1N
• Data, Ethics and Law, 5 credits (1DL002)

  Semester 1, period 1: 5 credits
  Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Human-Computer Interaction A1N, Image Analysis and Machine Learning A1N
• Linear Algebra for Data Science, 5 credits (1MA330)

  Semester 1, period 1: 5 credits
  Main field(s) of study and in-depth level: Data Science A1N, Mathematics A1N
• Statistical Machine Learning, 5 credits (1RT700)

  Semester 1, period 2: 5 credits
  Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Image Analysis and Machine Learning A1N, Mathematics A1N, Technology A1N
• Database Design I, 5 credits (1DL301)

  Semester 1, period 2: 5 credits
  Main field(s) of study and in-depth level: Computer Science G2F, Sociotechnical Systems G2F, Technology G2F

Elective courses

• Visual Communication of Data, 5 credits (1DL415)

  Semester 1, period 1: 5 credits
  Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N
• Human-Computer Interaction, 5 credits (1MD016)

  Semester 1, period 2: 5 credits
  Main field(s) of study and in-depth level: Computer Science G1N, Sociotechnical Systems G1N, Technology G1N

Semester 2

Recommended courses

• Deep Learning, 5 credits (1RT720)

  Semester 2, period 3: 5 credits
  Main field(s) of study and in-depth level: Computer Science A1F, Data Science A1F, Image Analysis and Machine Learning A1F, Technology A1F
• Computer Graphics, 10 credits (1TD388)

  Semester 2, period 3: 10 credits
  Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N
• Advanced Deep Learning for Image Processing, 5 credits (1MD042)

  Semester 2, period 4: 5 credits
  Main field(s) of study and in-depth level: Computer Science A1F, Data Science A1F, Image Analysis and Machine Learning A1F
• Digital Imaging Systems, 5 credits (1MD041)

  Semester 2, period 4: 5 credits
  Main field(s) of study and in-depth level: Data Science A1F, Image Analysis and Machine Learning A1F

Elective courses

• Reinforcement Learning, 5 credits (1RT745)

  Semester 2, period 4: 5 credits
  Main field(s) of study and in-depth level: Data Science A1N, Embedded Systems A1N, Technology A1N
• Digital Imaging Systems, 5 credits (1MD041)

  Semester 2, period 4: 5 credits
  Main field(s) of study and in-depth level: Data Science A1F, Image Analysis and Machine Learning A1F
• Human-Robot Interaction, 5 credits (1MD043)

  Semester 2, period 4: 5 credits
  Main field(s) of study and in-depth level: Computer Science A1N, Human-Computer Interaction A1N, Image Analysis and Machine Learning A1N, Technology A1N
• Degree Project D in Data Science, 15 credits (1DL390)

  Semester 2, period 3: 7.5 credits Semester 2, period 4: 7.5 credits
  Main field(s) of study and in-depth level: Data Science A1E

Semester 3

Preliminary outline 2027/2028

Semester 4

Preliminary outline 2027/2028