Machine Learning (MØLBA3002)

Machine Learning is a 7,5 ECTS course during the spring semester on the master's level. A 2-day home exam and a 4-hour individual exam finalize the course.

Campus
Lillehammer
Duration
Spring semester (January-May/June)
Structure
Full time
Credits
7,5 ECTS
Teaching language
EN
Startup
January
Application deadline
Oct. 15, 2024

Start of studies

An Orientation Week is arranged in the first week of the spring semester. Most lectures are expected to begin the same week.

About the course

The single course is only open to exchange students from our partner institutions. Students applying for the full degree must view the webpage for full-degree students.

Course Schedule

The course schedule will be published after 01 December for the following fall semester.

To view the schedule for spring 2024, click here.

Course Syllabus

Students need to purchase the needed syllabus for the course. However, online articles will be free through the INN student account. Detailed information will be provided to accepted students.

Important information

This course has session-based teaching.

Number of spots

This course has an unlimited number of spots for exchange students.

Required prerequisites

The following applies:

  • Students must be enrolled in a Master's degree in Business Management, Economics or similar. 
  • Students must have completed a course in Applied Programming or similar.

Recommended: Students should have completed a course in Data Engineering or similar.

Possible course combinations

Spring 2024

Spring 2025

Spring 2026

Additional courses

The following courses can be combined with all English courses at Campus Lillehammer (fall or spring):

Application deadline and admission

The course is available only for exchange students coming from our partner institutions. Contact the International Office/Department at your home institution to find out if you are eligible for exchange studies at Inland Norway University of Applied Sciences (INN University). Please notice that applications can be submitted for one campus only.

How much does it cost?

Free for exchange students.

Curricula and courses

For detailed information on the course, view the study plan.

Search all study plans search study plans and courses.

Contact us

Picture of Kine Marie Skjærvik
International Advisor
Email
kine.skjaervik@inn.no
Phone
+47 61 28 85 00