Computer Science, Second Cycle, Data Mining

Education facts

Code: DT727A

Data mining is essential for uncovering valuable insights in large datasets. While many companies focus on AI and deep learning, the real challenge is understanding and preparing data before building advanced models. Defining the right problem and extracting meaningful patterns are key steps in making data-driven decisions. The data mining course covers practical techniques for working with data, from preprocessing, visualization, and statistical analysis to pattern recognition methods like association rule mining, anomaly detection, and clustering. Through hands-on programming assignments and real-world examples, participants will gain the skills to explore data effectively and support decision-making in their organizations. This course is intended for working professionals.

Entry requirements

At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English level 1" from the Swedish Upper Secondary School.

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.

• Computer Science, Second Cycle, Data Mining

  Örebro University

  Örebro

  Start date: 28 September 2026

  End date: 13 December 2026

  Pace of study: 25 %