Statistics: Advanced Machine Learning

Education facts

Code: STAN52

<p>What if you could train a computer to learn from data - and improve over time, just like humans do? Machine learning is a powerful set of tools for uncovering patterns, making predictions, and supporting data-driven decisions.</p><p>Building on the foundations from STAN51 Statistics: Machine Learning from a Regression Perspective, this course introduces you to more advanced machine learning techniques with a focus on applications in business and economics.You will learn about:</p><ul><li>bootstrap methods for assessing model stability and uncertainty</li><li>ensemble techniques such as boosting and random forests for improving predictive performance</li><li>unsupervised learning methods including principal component analysis and clustering</li><li>applied machine learning for real-world problems, including causal inference in economic and business contexts.</li></ul>

Entry requirements

90 credits in Statistics with at least 7.5 credits in Regression Analysis or Econometrics and also STAN51 Statistics: Machine Learning from a Regression Perspective, or the equivalent.

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.

• Statistics: Advanced Machine Learning

  Lund University

  Start date: 2 November 2026

  End date: 17 January 2027

  Pace of study: 50 %