Mathematical Foundations and Algorithms for Machine Learning

Education facts

Code: MA111A

Mathematical concepts and methods at the core of machine learning, such as matrix methods, statistical methods and optimisation algorithms.

Entry requirements

Multivariate Calculus, 9 credits or Multivariate Calculus for MSc in Engineering, 7.5 credits, and Optimization, 7.5 credits, or Optimization for MSc in Engineering, 7.5 credits, as well as Statistics, Statistical Theory, Intermediate Course, 15 credits or Mathematical Statistics and Probability, 7.5 credits.

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.

• Mathematical Foundations and Algorithms for Machine Learning

  Örebro University

  Ortsoberoende

  Start date: 31 August 2026

  End date: 17 January 2027

  Pace of study: 25 %