Predictive Analytics
7,5 credits, course, master's level, D7056E
Application period starts 2026-09-15
Welcome to Predictive Analytics!
In today’s data-driven world, organisations generate vast amounts of information. The key to success lies in the ability to extract meaningful insights from this data. This course is designed to equip you with the skills necessary to transform raw data into actionable intelligence. Students will delve into essential machine learning methodologies and techniques, learning how to develop predictive models, uncover patterns within historical data, and apply these insights to inform strategic business decisions. The course offers a comprehensive blend of theoretical concepts and practical applications, enriched with explanatory examples and real-world case studies.
For Programme students
LTU-37043
Application period starts 2026-09-15
Predictive Analytics
Period 3 - 3, v. 3 2027 - v. 12 2027, no module, LuleåNormal teachingDay-time 50%Spring 2027
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 Analytics in Business and Economics, semester 2
- Master Programme in Data Science, semester 2
Application for Freestanding course (En)
LTU-37043
Application period starts 2026-09-15
Predictive Analytics
Period 3 - 3, v. 3 2027 - v. 12 2027, no module, LuleåNormal teachingDay-time 50%Spring 2027
Only a few freestanding places are available. This course is part of a programme.
Application for Exchange students at LTU
LTU-37043
Application period starts 2026-09-15
Predictive Analytics
Period 3 - 3, v. 3 2027 - v. 12 2027, no module, LuleåNormal teachingDay-time 50%Spring 2027
Course offered in English to prospective exchange student, nominated for exchange by home university.
7,5 credits, course, master's level, D7056E
Application period starts 2026-09-15
Welcome to Predictive Analytics!
In today’s data-driven world, organisations generate vast amounts of information. The key to success lies in the ability to extract meaningful insights from this data. This course is designed to equip you with the skills necessary to transform raw data into actionable intelligence. Students will delve into essential machine learning methodologies and techniques, learning how to develop predictive models, uncover patterns within historical data, and apply these insights to inform strategic business decisions. The course offers a comprehensive blend of theoretical concepts and practical applications, enriched with explanatory examples and real-world case studies.
For Programme students
LTU-37043
Application period starts 2026-09-15
Predictive Analytics
Period 3 - 3, v. 3 2027 - v. 12 2027, no module, LuleåNormal teachingDay-time 50%Spring 2027
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 Analytics in Business and Economics, semester 2
- Master Programme in Data Science, semester 2
Application for Freestanding course (En)
LTU-37043
Application period starts 2026-09-15
Predictive Analytics
Period 3 - 3, v. 3 2027 - v. 12 2027, no module, LuleåNormal teachingDay-time 50%Spring 2027
Only a few freestanding places are available. This course is part of a programme.
Application for Exchange students at LTU
LTU-37043
Application period starts 2026-09-15
Predictive Analytics
Period 3 - 3, v. 3 2027 - v. 12 2027, no module, LuleåNormal teachingDay-time 50%Spring 2027
Course offered in English to prospective exchange student, nominated for exchange by home university.
Kontakt
Jaap van de Beek
- Professor, Chaired Professor
- 0920-493383
- jaap.van.de.beek@ltu.se
- Jaap van de Beek
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