Master's Programme in Image Analysis and Machine Learning

120 credits

Outline, TBA2M

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

Semester 1 is not offered in the 2026/2027 academic year.

Semester 2 is not offered in the 2026/2027 academic year.

Eligible course, 5 credits

Advanced Probabilistic Machine Learning, 5 credits (1RT705) Main field(s) of study and in-depth level: Computer Science A1F, Data Science A1F, Mathematics A1F, Technology A1F

1RT705 requires a course in several variable analysis.

Large Language Models and Societal Consequences of Artificial Intelligence, 5 credits (1RT730) Main field(s) of study and in-depth level: Computer Science A1F, Data Science A1F, Image Analysis and Machine Learning A1F

Specialisation of Image analysis and machine learning for biomedical applications:

Contemporary Methods in Visual Data Processing, 5 credits (1MD049) Main field(s) of study and in-depth level: Image Analysis and Machine Learning A1F

Specialisation in Image analysis and machine learning for social robotics:

Intelligent Interactive Systems, 5 credits (1MD032) Main field(s) of study and in-depth level: Computer Science A1N, Human-Computer Interaction A1N, Technology A1N

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