Semester 1

Period 1

• Basic Course in Mathematics, 5 credits (1MA010)Compulsory* Main field(s) of study and in-depth level: Mathematics G1N
• Industrial Engineering and Management I: The Functions of the Corporation, 5 of 15 credits (1TS301)Compulsory* Main field(s) of study and in-depth level: Technology G1N
• Introduction to Industrial Analytics, 5 credits (1TS302)Compulsory* Main field(s) of study and in-depth level: Technology G1N

Period 2

• Linear Algebra and Geometry I, 5 credits (1MA025)Compulsory* Main field(s) of study and in-depth level: Mathematics G1F
• Industrial Engineering and Management I: The Functions of the Corporation, 5 of 15 credits (1TS301)Compulsory* Main field(s) of study and in-depth level: Technology G1N
• Industrial Production Philosophies, 5 credits (1TS303)Compulsory* Main field(s) of study and in-depth level: Technology G1N

Semester 2

Period 3

• Single Variable Calculus, 5 of 10 credits (1MA013)Compulsory* Main field(s) of study and in-depth level: Mathematics G1F
• Industrial Engineering and Management I: The Functions of the Corporation, 5 of 15 credits (1TS301)Compulsory* Main field(s) of study and in-depth level: Technology G1N
• Programming, 5 of 10 credits (1DL042)Compulsory* Main field(s) of study and in-depth level: Computer Science G1N, Technology G1N

Period 4

• Single Variable Calculus, 5 of 10 credits (1MA013)Compulsory* Main field(s) of study and in-depth level: Mathematics G1F
• Programming, 5 of 10 credits (1DL042)Compulsory* Main field(s) of study and in-depth level: Computer Science G1N, Technology G1N
• Scientific Computing I, 5 credits (1TD393)Compulsory* Main field(s) of study and in-depth level: Computer Science G1F, Mathematics G1F, Technology G1F

Semester 3

Period 1

• Linear Algebra II, 5 credits (1MA024)Compulsory* Main field(s) of study and in-depth level: Mathematics G1F
• Industrial Engineering and Management II: Organising, Production and Markets, 5 of 10 credits (1TS318)Compulsory* Main field(s) of study and in-depth level: Technology G1F
• Mechanics, 5 credits (1FA104)Compulsory* Main field(s) of study and in-depth level: Physics G1F, Technology G1F

Period 2

• Transform Methods, 5 credits (1MA034)Compulsory* Main field(s) of study and in-depth level: Mathematics G1F
• Industrial Engineering and Management II: Organising, Production and Markets, 5 of 10 credits (1TS318)Compulsory* Main field(s) of study and in-depth level: Technology G1F
• Virtual Development of Automated Production Systems, 5 credits (1TS319)Compulsory* Main field(s) of study and in-depth level: Technology G1F

Semester 4

Period 3

• Several Variable Calculus, Limited Version, 5 credits (1MA017)Compulsory* Main field(s) of study and in-depth level: Mathematics G1F
• Digital Technology and Electronics, 10 credits (1TE717)Compulsory* Main field(s) of study and in-depth level: Technology G1F

Period 4

• Automatic Control I, 5 credits (1RT490)Compulsory* Main field(s) of study and in-depth level: Sociotechnical Systems G2F, Technology G2F
• Probability and Statistics, 5 credits (1MS005)Compulsory* Main field(s) of study and in-depth level: Mathematics G1F
• Industrial Management III: Project in Business and Technology Development, 5 credits (1TS320)Compulsory* Main field(s) of study and in-depth level: Technology G2F

Semester 5

YEAR 3, PRELIMINARY ACADEMIC YEAR 2022/2023

Industrial Engineering and Management IV: The company and its environment (part 1-2), 10 credits

Algorithms and Data Structures I, 5 credits

Scientific Computing II, 5 credits

Database Design for Industrial Applications, 5 credits

Systems Thinking and Modelling, 5 credits

Semester 6

YEAR 3, PRELIMINARY ACADEMIC YEAR 2022/2023

Industrial Engineering and Management IV: The company and its environment (part 3), 5 credits

Data Mining I, 5 credits

Optimisation, 5 credits

Independent Project in Industrial Engineering and Management, 15 credits

Semester 7

YEAR 4, PRELIMINARY ACADEMIC YEAR 2023/2024

Industrial Internet of things, 5 credits

Engineering Management, 5 credits

Stochastic Modelling, 5 credits

Logistics Systems Modelling and Optimisation, 5 credits

Database Design II, 5 credits

Elective course, 5 credits

Semester 8

YEAR 4, PRELIMINARY ACADEMIC YEAR 2023/2024

Data Engineering, 5 credits

Statistical Machine Learning, 5 credits

Elective courses, 20 credits

I årskurs 4-5 finns 40 hp valbara kurser. Av dessa skall minst 15 hp vara inom fältet Industriell ekonomi och minst 15 hp inom Industrial Analytics.

Semester 9

YEAR 5, PRELIMINARY ACADEMIC YEAR 2024/2025

Technology-Business-Management, 10 credits

Elective course, 10 credits

Scientific Method, 5 credits

Elective course within Industrial Analytics, 5 credits

Semester 10

YEAR 5, PRELIMINARY ACADEMIC YEAR 2024/2025

Degree Project in Industrial Engineering and Management, 30 credits

* Compulsory