Outline for Master's Programme in Image Analysis and Machine Learning

• 120 credits
• Programme code: TBA2M
• Established: 2019-10-22
• Revised: 2022-11-08
• Revised by: The Faculty Board of Science and Technology
• Reg. no: TEKNAT 2022/136
• Outline applies from: Autumn 2023
• Responsible faculty: Faculty of Science and Technology
• Responsible department: Department of Information Technology

Semester 1

Period 1

• Introduction to Image Analysis, 5 (out of 10) credits (1MD110)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1N, Computer Science A1N
• Data, Ethics and Law, 5 credits (1DL002)
  Main field(s) of study and in-depth level: Data Science A1N, Image Analysis and Machine Learning A1N, Human-Computer Interaction A1N, Computer Science A1N

Eligible course 5 credits

• Computer Programming II, 5 credits (1TD722)
  Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
• Linear Algebra for Data Science, 5 credits (1MA330)
  Main field(s) of study and in-depth level: Mathematics A1N, Data Science A1N
• Scientific Computing, Bridging Course, 5 credits (1TD045)
  Main field(s) of study and in-depth level: Computer Science A1N, Computational Science A1N, Mathematics A1N
• Probability Theory II, 5 credits (1MS036)
  Main field(s) of study and in-depth level: Mathematics G2F
• Algorithms and Data Structures I, 5 credits (1DL210)
  Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
• Database Design I, 5 credits (1DL301)
  Main field(s) of study and in-depth level: Computer Science G2F, Technology G2F, Sociotechnical Systems G2F

Period 2

• Introduction to Image Analysis, 5 (out of 10) credits (1MD110)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1N, Computer Science A1N
• Statistical Machine Learning, 5 credits (1RT700)
  Main field(s) of study and in-depth level: Technology A1N, Image Analysis and Machine Learning A1N, Mathematics A1N, Computer Science A1N, Data Science A1N

Eligible course 5 credits

• Several Variable Calculus for Data Science, 5 credits (1MA334)
  Main field(s) of study and in-depth level: Mathematics A1N
• Optimisation, 5 credits (1TD184)
  Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N, Computational Science A1N
• Fourier Analysis, 5 credits (1MA211)
  Main field(s) of study and in-depth level: Mathematics G1F
• Algorithms and Data Structures II, 5 credits (1DL231)
  Main field(s) of study and in-depth level: Computer Science G2F
• Inference Theory I, 5 credits (1MS035)
  Main field(s) of study and in-depth level: Mathematics G1F
• Database Design I, 5 credits (1DL301)
  Main field(s) of study and in-depth level: Computer Science G2F, Technology G2F, Sociotechnical Systems G2F
• Human-Computer Interaction, 5 credits (1MD016)
  Main field(s) of study and in-depth level: Computer Science G1N, Technology G1N, Sociotechnical Systems G1N
• Inference Theory II, 5 credits (1MS037)
  Main field(s) of study and in-depth level: Mathematics G2F

Semester 2

Period 3

Eligible course 7.5 credits

• Theoretical Foundations for Data Science, 7.5 credits (1MS047)
  Main field(s) of study and in-depth level: Mathematics A1F, Data Science A1F

Students with prior knowledge in probability theory with limits of random variables, concentration inequalities, Markov chains, and estimation and testing can be elibgible to select the course 1MS047.

• Data Engineering I, 7.5 credits (1TD069)
  Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N, Computational Science A1N

Specialisation in Medical Image Analysis:

• Digital Imaging Systems, 7.5 credits (1MD130)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F, Computer Science A1F

Specialisation in Image Analysis for Life Sciences:

• Digital Imaging Systems, 7.5 credits (1MD130)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F, Computer Science A1F

Specialisation in Image Analysis for Digital Humanities:

• Digital Imaging Systems, 7.5 credits (1MD130)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F, Computer Science A1F

Specialisation in Visualisation:

• Computer Graphics, 7.5 credits (1MD150)
  Main field(s) of study and in-depth level: Computer Science A1N, Image Analysis and Machine Learning A1N, Computational Science A1N

Specialisation in Social Robotics:

• Social Robotics and Human-Robot Interaction, 7.5 credits (1MD300)
  Main field(s) of study and in-depth level: Computer Science A1N, Image Analysis and Machine Learning A1N, Human-Computer Interaction A1N

Period 4

• Deep Learning for Image Analysis, 7.5 credits (1MD120)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F, Computer Science A1F
• Reinforcement Learning, 7.5 credits (1RT747)
  Main field(s) of study and in-depth level: Data Science A1N, Image Analysis and Machine Learning A1N, Embedded Systems A1N, Computer Science A1N

Semester 3

Period 1

• Project in Software Development in Image Analysis and Machine Learning, 7.5 (out of 15) credits (1MD036)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F
• Advanced Probabilistic Machine Learning, 7.5 credits (1RT003)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F, Mathematics A1F, Computer Science A1F

Period 2

• Project in Software Development in Image Analysis and Machine Learning, 7.5 (out of 15) credits (1MD036)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F

Specialisation in Medical Image Analysis:

• Advanced Image Analysis, 7.5 credits (1MD037)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F

Specialisation in Image Analysis for Life Sciences:

• Advanced Image Analysis, 7.5 credits (1MD037)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F

Specialisation in Image Analysis for Digital Humanities:

• Advanced Image Analysis, 7.5 credits (1MD037)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F

Specialisation in Visualisation:

• Scientific Visualisation, 7.5 credits (1MD140)
  Main field(s) of study and in-depth level: Computer Science A1N, Image Analysis and Machine Learning A1N, Computational Science A1N

Specialisation in Social Robotics:

• Intelligent Interactive Systems, 7.5 credits (1MD039)
  Main field(s) of study and in-depth level: Technology A1N, Image Analysis and Machine Learning A1N, Human-Computer Interaction A1N

Semester 4

• Degree Project E in Image Analysis and Machine Learning, 30 credits (1MD038)
  Main field(s) of study and in-depth level: Image Analysis and Machine Learning A2E