The following designations are used:

G1N - First cycle, has only upper-secondary level entry requirements

G1F - First cycle, has less than 60 credits in first-cycle courses as entry requirements

G2F - First cycle, has at least 60 credits in first-cycle courses as entry requirements

A1N - Second cycle, has only first-cycle courses as entry requirements, at least 120 credits

A1F - Second cycle, has second-cycle courses as entry requirements

A2E - Second cycle, degree project for Master of Arts/Master of Science (120 credits)

Semester 1

Period 1

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

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 II (for Master's Students), 5 credits (1MA323) Main field(s) of study and in-depth level: Mathematics G1F
• Scientific Computing, Bridging Course, 5 credits (1TD045) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Mathematics A1N
• Human-Computer Interaction, 5 credits (1MD016) Main field(s) of study and in-depth level: Computer Science G1N, Sociotechnical Systems G1N, Technology G1N
• 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, Sociotechnical Systems G2F, Technology G2F

Period 2

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

Eligible course 5 credits

• Several Variable Calculus, Limited Version (for Master's Students), 5 credits (1MA324) Main field(s) of study and in-depth level: Mathematics G1F
• Optimisation, 5 credits (1TD184) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology 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, Sociotechnical Systems G2F, Technology G2F

Semester 2

Period 3

Eligible course 7.5 credits

• Theoretical Foundations for Data Science, 7.5 credits (1MS042) Main field(s) of study and in-depth level: Data Science A1N, Mathematics A1N
• Data Engineering I, 7.5 credits (1TD069) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology A1N

Specialisation in Medical Image Analysis:

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

Specialisation in Image Analysis for Life Sciences:

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

Specialisation in Image Analysis for Digital Humanities:

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

Specialisation in Visualisation:

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

Period 4

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

Semester 3

YEAR 2, PRELIMINARY ACADEMIC YEAR 2021/2022

Software Development Project in Image Analysis and Machine Learning, 15 credits

Advanced Probabilistic Machine Learning, 7.5 credits

Specialisation in Medical Image Analysis:

Advanced Image Analysis, 7.5 credits

Specialisation in Image Analysis for Life Sciences:

Advanced Image Analysis, 7.5 credits

Specialisation in Image Analysis for Digital Humanities:

Advanced Image Analysis, 7.5 credits

Specialisation in Visualisation:

Scientific Visualisation, 7.5 credits

Specialisation in Social Robotics:

Intelligent Interactive Systems, 7.5 credits

Semester 4

YEAR 2, PRELIMINARY ACADEMIC YEAR 2021/2022

Degree Project E in Image Analysis and Machine Learning, 30 credits