Outline for Master's Programme in Industrial Analytics

Masterprogram i industriell analys

Semester 1

Period 1

Course for students who follow the Industrial Engineering and Management-track:

Course for students who follow the Computer Science-track:

Period 2

Course for students who follow the Industrial Engineering and Management-track:

Course for students who follow the computer science-track:

Course for students who follow the Industrial Engineering and Management-track:

Course for students who follow the Computer Science-track:

Semester 2

Period 3

Period 4

Semester 3

YEAR 2, PRELIMINARY ACADEMIC YEAR 2021/2022

Semester 3
Organising Knowledge-Intensive Work, 5 credits
Engineering Ethics, 5 credits
Data Mining II, 5 credits
Advanced Simulation and Prescriptive Analytics, 5 credits
Scientific Method, 5 credits

Eligible courses within the field of Industrial Analytics (depending on prior knowledge):
Courses for students who follow the Industrial Engineering and Management-track:
Industrial Project with Mixed Reality, 5 credits
Database Design II, 5 credits

Courses for students who follow the Computer Science-track:
Statistical Machine Learning, 5 credits
Data Engineering II, 5 credits

Semester 3-4
Eligible courses within the field of Industrial Analytics (depending on prior knowledge):
Degree Project in Industrial Engineering and Management, 30 hp
Degree Project in Computer Science, 30 hp

Outline revisions

Outline(s) part of syllabus from Autumn 2020:

  • Latest outline (applies from Autumn 2020)