This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Halmstad University
Applied Data Mining
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, selec…
- Higher education
- Information unavailable
- 2 November 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
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.
Admission scores
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.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-11-02
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hh.di8002.x3501.20262
- Last checked
- 2026-09-23T10:37:30.869721+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.hh.di8002.x3501.20262
- Offering identity in the source
- e.uoh.hh.di8002.x3501.20262
- Education-form source code
- HS
- Education code in the source
- DI8002
- Change time according to the source
- 2026-02-22T13:18:37
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.