Deep machine learning

Education facts

Code: DIT969

The published source does not provide a description.

Entry requirements

To be eligible to the course, the student must have a Bachelor's degree. In particular, the student must have acquired the following knowledge: - 15 credits of courses in programming or equivalent, - a course including probability and statistics, such as DIT862 Statistical Methods for Data Science or MSG810 Mathematical Statistics and Discrete mathematics, - 5 credits of linear algebra or equivalent - 5 credits of calculus or equivalent, - a first course in machine learning, such as DIT866 Applied Machine Learning, DIT381 Algorithms for Machine Learning and Inference, or MSA220 Statistical Learning for Big Data Applicants must prove knowledge of English: English 6/English level 2 or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Deep machine learning

  University of Gothenburg

  Start date: 31 August 2026

  End date: 1 November 2026

  Pace of study: 50 %