Data analysis and applied machine learning

Education facts

Code: MSAD25

- Introduction to machine learning - Data management and pre-processing - Supervised learning, such as regression models and classification techniques - Unsupervised learning, such as k-means and hierarchical clustering - Foundations of neural networks and deep learning - Applied ML within the field of engineering - Ethics and responsible AI

Entry requirements

Mathematics 22.5 credits, Introduction to programming (7.5 credits), Scientific programming (7.5 credits) or Numerical methods (7.5 credits), plus upper secondary level English 6 or English level 2. An equivalence assessment can be made.

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.

• Data analysis and applied machine learning

  Karlstad University

  Karlstad

  Start date: 9 November 2026

  End date: 17 January 2027

  Pace of study: 50 %