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

Masterprogram i bildanalys och maskininlärning

Outline(s)

  • Latest outline (applies from Autumn 2020)
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

Eligible course, 5 credits

Period 2

Eligible course 5 credits

Semester 2

Period 3

Eligible course 7.5 credits

Specialisation in Medical Image Analysis:

Specialisation in Image Analysis for Life Sciences:

Specialisation in Image Analysis for Digital Humanities:

Specialisation in Visualisation:

Specialisation in Social Robotics:

Period 4

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