Courses

The two-year master's programme in Machine Learning consists of three terms of courses and one final term dedicated to the master's degree project. Each term consist of approximately 30 ECTS credits. The courses presented on this page apply to studies starting in autumn 2019.

Year 1

Choose among the conditionally elective courses, so that the following conditions are fulfilled:

- at least 6 courses from Application Domains + Theory, and
- at least 2 courses from Application Domains, and also
- at least 2 courses from Theory.

Examples of possible combinations of courses:
- at least 2 courses from Application Domains, and at least 4 courses from Theory,
- at least 3 courses from Application Domains, and at least 3 courses from Theory,
- at least 4 courses from Application Domains, and at least 2 courses from Theory.

APPLICATION DOMAINS:

DD2430.
- Computer Vision: DD2423, DD2424, DD2429.
- Language Processing; Speech & Text: DD2418, DT2112, DT2119.
- Visualization: DD2257.
- Robotics: DD2410, DD2411, DD2425, DD2438.
- Databases/Information Retrieval: DD2476.
- Computational Biology: DD2401, DD2402, DD2404, DD2435.

THEORY:

- Mathematics: EL2320, SF1811.
- Statistics & Probability: DD2447, SF2930, SF2940, SF2943.
- Machine Learning: DD2420, DD2437, EL2805, EQ2341, ID2222, ID2223.

Mandatory courses

Conditionally elective courses

Year 2

Conditionally elective courses

Changes in the programme may occur.