Applied Data Mining

Education facts

Code: DI8002

The aim of the course is to enable students to familiarise themselves with the practical challenges of authentic data mining issues in the context of computer networks and network security. By being exposed to problem formulations at the business level, analysis of the volume and quality of the available data, selection of suitable algorithms, and evaluation of results, students are expected to acquire an understanding of the possibilities as well as limitations of different methods of machine learning focusing on computer networks and network security. For international students teaching takes place online without meeting at the campus. For exchange students teaching takes place on campus.

Entry requirements

Bachelor of Science degree in an engineering subject or in computer science. The degree must be equivalent to a Swedish kandidatexamen and must have been awarded from an internationally recognised university. Courses in computer technology, digital communication, computer networks, computer science or digital forensics of at least 90 higher education credits, of which 15 credits must be in Computer networks and 7.5 credits in Programming. Courses in mathematics of at least 15 higher education credits. English 6 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.

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.

• Applied Data Mining

  Halmstad University

  Start date: 2 November 2026

  End date: 17 January 2027

  Pace of study: 50 %