Semester 1

Period 1

• Introduction to Industrial Analytics, 5 credits (1TS304) Main field(s) of study and in-depth level: Industrial Engineering and Management A1N
• Industrial Production Philosophies, 5 credits (1TS306) Main field(s) of study and in-depth level: Industrial Engineering and Management A1N

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

• Computer Programming II, 5 credits (1TD722) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F

Course for students who follow the Computer Science-track:

• Industrial Management, 5 credits (1TE743) Main field(s) of study and in-depth level: Industrial Engineering and Management G1F

Period 2

• Systems Thinking and Modelling, 5 credits (1TS305) Main field(s) of study and in-depth level: Industrial Engineering and Management A1N

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

• Database Design I, 5 credits (1DL301) Main field(s) of study and in-depth level: Computer Science G2F, Sociotechnical Systems G2F, Technology G2F

Course for students who follow the computer science-track:

• Database Design II, 5 credits (1DL400) Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N

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

• Scientific Computing I, 5 credits (1TD393) Main field(s) of study and in-depth level: Computer Science G1F, Mathematics G1F, Technology G1F

Course for students who follow the Computer Science-track:

• Production Management I, 5 credits (1MI087) Main field(s) of study and in-depth level: Technology G2F

Semester 2

Period 3

• Operations and Supply Chain Management, 5 credits (1TE764) Main field(s) of study and in-depth level: Industrial Engineering and Management A1N
• Data Engineering I, 5 credits (1TD169) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology A1N
• Data Mining I, 5 credits (1DL360) Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N

Period 4

• Logistics Systems Modelling and Optimisation, 5 credits (1TE776) Main field(s) of study and in-depth level: Industrial Engineering and Management A1N, Technology A1N
• Internet of Things, 5 credits (1DT094) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
• Industrial Optimisation Methods, 5 credits (1TS307) Main field(s) of study and in-depth level: Industrial Engineering and Management A1N

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