Master's Programme in Image Analysis and Machine Learning

120 credits

Outline, TBA2M

A revised version of the outline is available.
Code
TBA2M
Finalised by
The Faculty Board of Science and Technology, 8 November 2022
Registration number
TEKNAT 2022/136

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

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.

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

Period 1

Period 2

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:

Semester 4

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