This course provides comprehensive knowledge, both regarding breadth and depth, about data science and statistical learning. In the course, both traditional and state of the art methods and algorithms in these fields are discussed. The related fundamental theories are also covered. After passing the course, the students should have a strong ability to solve problems through data. Meanwhile, students are also expected to have a strong self-study ability for understanding and learning any newly developed methods and algorithms.
Statistical learning with high-dimensional data, 7.5 credits
Autumn Term 2022
1 November 2022
15 January 2023
Type of studies
The course requires 90 ECTS including 7,5 ECTS Computer Programming and 12 ECTS Mathematical Statistics or equivalent. Proficiency in English and Swedish equivalent to the level required for basic eligibility for higher studies.
Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.
Application deadline was
19 April 2022.
Please note: This second application round is intended only for EU/EEA/Swiss citizens.