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Master's Programme in Image Analysis and Machine Learning

Prog.code: TBA2M 120 c.

General programme information

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)

Courses included in the programme

This programme overview lists what courses are taken for each semester in the Master's Programme in Image Analysis and Machine Learning according to the current curriculum.

Semester 1

Semester 2

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