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 for Data Science, 5 credits (1MA330) Main field(s) of study and in-depth level: Data Science A1N, Mathematics A1N
• Scientific Computing, Bridging Course, 5 credits (1TD045) Main field(s) of study and in-depth level: Computational Science A1N, Computer 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, 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 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: 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
• Human-Computer Interaction, 5 credits (1MD016) Main field(s) of study and in-depth level: Computer Science G1N, Sociotechnical Systems G1N, Technology 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: Data Science A1F, Mathematics 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: 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

Period 1

• Project in Software Development in Image Analysis and Machine Learning, 7.5 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: Computer Science A1F, Image Analysis and Machine Learning A1F, Mathematics A1F

Period 2

• Project in Software Development in Image Analysis and Machine Learning, 7.5 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: Computational Science A1N, Computer Science A1N, Image Analysis and Machine Learning A1N

Specialisation in Social Robotics:

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