Master's Programme in Industrial Analytics
120 credits
Outline, TIA2M
- Code
- TIA2M
- Finalised by
- The Faculty Board of Science and Technology, 5 November 2025
- Registration number
- TEKNAT 2025/139
Semester 1
Semester 1 is not offered in the 2026/2027 academic year.
Semester 2
Semester 2 is not offered in the 2026/2027 academic year.
Semester 3
YEAR 2
Period 1
- Data Mining I, 5 credits (1DL360) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N
- Machine Learning for the Internet of Things, 5 credits (1EL014) Main field(s) of study and in-depth level: Embedded Systems A1F, Technology A1F
Course for students who follow the Computer Science track:
- Industrial Project with Extended Reality, 5 of 10 credits (1TS334) Main field(s) of study and in-depth level: Computer Science A1F, Industrial Engineering and Management A1F, Technology A1F
Course for students who follow the Industrial Engineering and Management track:
- Industrial Project with Extended Reality, 5 of 10 credits (1TS361) Main field(s) of study and in-depth level: Industrial Engineering and Management A1F, Technology A1F
- Advanced Probabilistic Machine Learning, 5 credits (1RT705) Main field(s) of study and in-depth level: Computer Science A1F, Data Science A1F, Mathematics A1F, Technology A1F
Period 2
- Advanced Simulation and Prescriptive Analytics, 5 credits (1TS316) Main field(s) of study and in-depth level: Computer Science A1F, Industrial Engineering and Management A1F, Technology A1F
- Qualitative and Quantitative Methods in Industrial Engineering and Management I, 5 credits (1TS338)
Course for students who follow the Computer Science track:
- Industrial Project with Extended Reality, 5 of 10 credits (1TS334) Main field(s) of study and in-depth level: Computer Science A1F, Industrial Engineering and Management A1F, Technology A1F
Course for students who follow the Industrial Engineering and Management track:
- Industrial Project with Extended Reality, 5 of 10 credits (1TS361) Main field(s) of study and in-depth level: Industrial Engineering and Management A1F, Technology A1F
Course for students who follow the Computer Science track:
Period 2
- Database Design II, 5 credits (1DL400) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N
Semester 3-4, or semester 4: A degree project within Industrial Analytics depending on prior knowledge.
Semester 4
- Degree Project in Industrial Analytics: Industrial Engineering and Management, 30 credits (1TS339) Main field(s) of study and in-depth level: Industrial Engineering and Management A2E
- Degree Project in Industrial Analytics: Computer Science, 30 credits (1DT112) Main field(s) of study and in-depth level: Computer Science A2E