Data Mining

7,5 credits, course, bachelor's level, D0025E

Open for late application!

Data mining is the discovery of patterns and hidden information in large datasets. The course aims at the understanding of the data mining concepts and techniques. Focus is on techniques and algorithms to solve business problems.

For Programme students

LTU-17045

Application period starts 2026-03-16

Data Mining

Period 1 - 1, v. 36 2026 - v. 44 2026, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-17045

Application period starts:2026-03-16

Last day for application:2026-04-15

Entry requirements:In order to meet the general entry requirements for first cycle studies you must have successfully completed upper secondary education and have documented skills in English language. Exemption for Swedish A and B / Swedish 1-3. and at least 60 ECTS in completed courses in which the following knowledge must be included, knowledge in Programming (for example D0019N Software Development with Java 7,5ECTS or D0024E Software Development with Java II, 7,5 ECTS) and Fundamentals of Databases (for example D0004N Database Systems I, 7,5ECTS or D0018E Database technology, 7,5 ECTS). Proficiency in English equivalent to Swedish upper secondary course English 6/level 2

Selection:The selection is based on 1-165 credits.

Application information:

Optional course within programmes. Can be applied for within the optional space of a programme.

Mandatory course in the following programmes:

Application for Freestanding course (En)

LTU-17542

Open for late application!

Data Mining

Period 1 - 1, v. 36 2026 - v. 44 2026, no module, VariedDistance learningDay-time 50%Autumn 2026

Apply here to the programme Data Mining - LTU-17542 Link to another website, opens in new window

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, no module

Location:Varied

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Meetings on location:Compulsory: 0

Realization:No required meetings on campus. Access to PC with microphone, web cam and permission to install software is necessary. Internet connection, minimum 0,5 Mbps required

Application code:LTU-17542

Last day for application:2026-01-15

Selection:The selection is based on 1-165 credits.

Application information:

Offered as a freestanding course.

LTU-17045

Application period starts 2026-03-16

Data Mining

Period 1 - 1, v. 36 2026 - v. 44 2026, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Application for Exchange students at LTU

LTU-17045

Application period starts 2026-03-16

Data Mining

Period 1 - 1, v. 36 2026 - v. 44 2026, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-17045

Application period starts:2026-03-16

Last day for application:2026-04-15

Selection:The selection is based on 1-165 credits.

Application information:

Course offered in English to prospective exchange student, nominated for exchange by home university.

Course syllabus

7,5 credits, course, bachelor's level, D0025E

Open for late application!

To signup

Course syllabus

For Programme students

LTU-17045

Application period starts 2026-03-16

Data Mining

Period 1 - 1, v. 36 2026 - v. 44 2026, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-17045

Application period starts:2026-03-16

Last day for application:2026-04-15

Selection:The selection is based on 1-165 credits.

Application information:

Optional course within programmes. Can be applied for within the optional space of a programme.

Mandatory course in the following programmes:

Application for Freestanding course (En)

LTU-17542

Open for late application!

Data Mining

Period 1 - 1, v. 36 2026 - v. 44 2026, no module, VariedDistance learningDay-time 50%Autumn 2026

Apply here to the programme Data Mining - LTU-17542 Link to another website, opens in new window

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, no module

Location:Varied

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Meetings on location:Compulsory: 0

Realization:No required meetings on campus. Access to PC with microphone, web cam and permission to install software is necessary. Internet connection, minimum 0,5 Mbps required

Application code:LTU-17542

Last day for application:2026-01-15

Selection:The selection is based on 1-165 credits.

Application information:

Offered as a freestanding course.

LTU-17045

Application period starts 2026-03-16

Data Mining

Period 1 - 1, v. 36 2026 - v. 44 2026, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Application for Exchange students at LTU

LTU-17045

Application period starts 2026-03-16

Data Mining

Period 1 - 1, v. 36 2026 - v. 44 2026, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-17045

Application period starts:2026-03-16

Last day for application:2026-04-15

Selection:The selection is based on 1-165 credits.

Application information:

Course offered in English to prospective exchange student, nominated for exchange by home university.

Kontakt

Ahmed Elragal

Updated: 21 November 2023

Data Mining

For Programme students

Data Mining

Application for Freestanding course (En)

Data Mining

Data Mining

Application for Exchange students at LTU

Data Mining

For Programme students

Data Mining

Application for Freestanding course (En)

Data Mining

Data Mining

Application for Exchange students at LTU

Data Mining

Kontakt

Ahmed Elragal

Contact

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