Industrial AI and eMaintenance - Part II: Practical Implementation

7,5 credits, course, master's level, D7016B

Application period starts 2026-03-16

The course provides practical insights in advanced data analytics and Industrial AI related to the operation and maintenance processes in industrial contexts.

The concept of eMaintenance connects the knowledge areas of digitalisation and Industrial AI with operation and maintenance engineering. This course will bring you with practical insights of advanced data analytics. Topics covered are Industrial AI, information logistics, distributed computing, and cybersecurity. The teaching includes project assignments where you will develop software solutions related to operation and maintenance processes.

For Programme students

LTU-15864

Application period starts 2026-03-16

Industrial AI and eMaintenance - Part II: Practical Implementation

Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5, VariedDistance learningDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5

Location:Varied

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Meetings on location:Compulsory: 0

Realization:Teaching is conducted at distance using Canvas learing platform and Teams. The course includes a non mandatory one day meeting at Luleå campus. During the meeting, AI Factory implementation in industrial domains will be demonstrated.

Application code:LTU-15864

Application period starts:2026-03-16

Last day for application:2026-04-15

Entry requirements:The student should have knowledge about basic programming skills, databases and cloud computing services, equivalent to D7015B Industrial AI and eMAintenance I. Proficiency in English equivalent to Swedish upper secondary course English 6/level 2.

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.

Application for Freestanding course (En)

LTU-15864

Application period starts 2026-03-16

Industrial AI and eMaintenance - Part II: Practical Implementation

Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5, VariedDistance learningDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5

Location:Varied

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Meetings on location:Compulsory: 0

Application code:LTU-15864

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-15864

Application period starts 2026-03-16

Industrial AI and eMaintenance - Part II: Practical Implementation

Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5, VariedDistance learningDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5

Location:Varied

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Meetings on location:Compulsory: 0

Application code:LTU-15864

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, D7016B

Application period starts 2026-03-16

The course provides practical insights in advanced data analytics and Industrial AI related to the operation and maintenance processes in industrial contexts.

Course syllabus

For Programme students

LTU-15864

Application period starts 2026-03-16

Industrial AI and eMaintenance - Part II: Practical Implementation

Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5, VariedDistance learningDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5

Location:Varied

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Meetings on location:Compulsory: 0

Application code:LTU-15864

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.

Application for Freestanding course (En)

LTU-15864

Application period starts 2026-03-16

Industrial AI and eMaintenance - Part II: Practical Implementation

Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5, VariedDistance learningDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5

Location:Varied

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Meetings on location:Compulsory: 0

Application code:LTU-15864

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-15864

Application period starts 2026-03-16

Industrial AI and eMaintenance - Part II: Practical Implementation

Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5, VariedDistance learningDay-time 50%Autumn 2026

Period:Period 1 - 1, v. 36 2026 - v. 44 2026, module 2+5

Location:Varied

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Meetings on location:Compulsory: 0

Application code:LTU-15864

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

Ravdeep Kour

Updated: 21 November 2023

Industrial AI and eMaintenance - Part II: Practical Implementation

For Programme students

Industrial AI and eMaintenance - Part II: Practical Implementation

Application for Freestanding course (En)

Industrial AI and eMaintenance - Part II: Practical Implementation

Application for Exchange students at LTU

Industrial AI and eMaintenance - Part II: Practical Implementation

For Programme students

Industrial AI and eMaintenance - Part II: Practical Implementation

Application for Freestanding course (En)

Industrial AI and eMaintenance - Part II: Practical Implementation

Application for Exchange students at LTU

Industrial AI and eMaintenance - Part II: Practical Implementation

Kontakt

Ravdeep Kour

Contact

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