Data Visualization

7,5 credits, course, master's level, D7055E

Application period starts 2026-03-16

Decision-making these days is not solely dependent on numbers and statistics but also on what these numbers convey. Data Visualisation seems to be a natural choice to support and augment human decision-making.

Therefore, this course is about building essentials and advances in the data visualisations for the application areas in data science and related areas. It includes understanding the theoretical paradigms of data visualisation and their practical applications in biomedical, geospatial, scientific and general data science areas. This course will help participants to understand current data visualisation practices along with the understanding of its application choices in different scenarios. After completion of this course, participants will be able to get a good grasp of key aspects of data visualisation.

For Programme students

LTU-27826

Application period starts 2026-03-16

Data Visualization

Period 2 - 2, v. 45 2026 - v. 2 2027, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 2 - 2, v. 45 2026 - v. 2 2027, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-27826

Application period starts:2026-03-16

Last day for application:2026-04-15

Entry requirements:In order to meet the general entry requirements for the course, you must have accomplished a minimum of 180 ECTS of university studies, out of which 60 ECTS in the areas of computer or system science. The studies shall have included Introductory Programming (for example D0009E Introduction to Programming or D0007N Objectoriented programming) and Fundamentals of Databases (for example D0004N Database Systems I or D0018E Database technology). Knowledge in English equivalent to English 6. More information about the English language requirements [http://www.ltu.se/edu/bli-student/Application-process/English-language-requirements-1.109316?l=en]

Selection:The selection is based on 30-285 credits

Application information:

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

Mandatory course in the following programmes:

Master Programme in Data Science, semester 1

Application for Freestanding course (En)

LTU-27826

Application period starts 2026-03-16

Data Visualization

Period 2 - 2, v. 45 2026 - v. 2 2027, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 2 - 2, v. 45 2026 - v. 2 2027, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-27826

Application period starts:2026-03-16

Last day for application:2026-04-15

Selection:The selection is based on 30-285 credits

Application information:

Only a few freestanding places are available. This course is part of a programme.

Application for Exchange students at LTU

LTU-27826

Application period starts 2026-03-16

Data Visualization

Period 2 - 2, v. 45 2026 - v. 2 2027, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 2 - 2, v. 45 2026 - v. 2 2027, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-27826

Application period starts:2026-03-16

Last day for application:2026-04-15

Selection:The selection is based on 30-285 credits

Application information:

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

Course syllabus

7,5 credits, course, master's level, D7055E

Application period starts 2026-03-16

Course syllabus

For Programme students

LTU-27826

Application period starts 2026-03-16

Data Visualization

Period 2 - 2, v. 45 2026 - v. 2 2027, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 2 - 2, v. 45 2026 - v. 2 2027, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-27826

Application period starts:2026-03-16

Last day for application:2026-04-15

Selection:The selection is based on 30-285 credits

Application information:

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

Mandatory course in the following programmes:

Master Programme in Data Science, semester 1

Application for Freestanding course (En)

LTU-27826

Application period starts 2026-03-16

Data Visualization

Period 2 - 2, v. 45 2026 - v. 2 2027, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 2 - 2, v. 45 2026 - v. 2 2027, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-27826

Application period starts:2026-03-16

Last day for application:2026-04-15

Selection:The selection is based on 30-285 credits

Application information:

Only a few freestanding places are available. This course is part of a programme.

Application for Exchange students at LTU

LTU-27826

Application period starts 2026-03-16

Data Visualization

Period 2 - 2, v. 45 2026 - v. 2 2027, no module, LuleåNormal teachingDay-time 50%Autumn 2026

Period:Period 2 - 2, v. 45 2026 - v. 2 2027, no module

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-27826

Application period starts:2026-03-16

Last day for application:2026-04-15

Selection:The selection is based on 30-285 credits

Application information:

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

Kontakt

Ahmed Elragal

Abdolrasoul Habibipour

Updated: 21 November 2023

Data Visualization

For Programme students

Data Visualization

Application for Freestanding course (En)

Data Visualization

Application for Exchange students at LTU

Data Visualization

For Programme students

Data Visualization

Application for Freestanding course (En)

Data Visualization

Application for Exchange students at LTU

Data Visualization

Kontakt

Ahmed Elragal

Abdolrasoul Habibipour

Contact

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