Advanced Simulation and Prescriptive Analytics
Course, Master's level, 1TS316
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
130 credits in science/engineering, including 5 credits in computer programming, 20 credits in mathematics, 5 credits in statistics and probability theory, and 5 credits at Master's level in Industrial Engineering and Management and/or Computer Science. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 April 2026
- Application code
- UU-14614
Admitted or on the waiting list?
- Registration period
- 19 October 2026–1 November 2026
- Information on registration from the department
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
130 credits in science/engineering, including 5 credits in computer programming, 20 credits in mathematics, 5 credits in statistics and probability theory, and 5 credits at Master's level in Industrial Engineering and Management and/or Computer Science. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 19 October 2026–1 November 2026
- Information on registration from the department
About the course
Simulation is arguably the most effective tool for modelling the complexity and dynamics of real-world production/business/healthcare systems and evaluating their performances. When combined with various data analytic and machine learning algorithms, simulation can provide the genuinely predictive and prescriptive capabilities required to solve real-world problems in the industry. This course will equip you with the knowledge and skills of not only advanced simulation for complex system modelling but also how simulation can be combined with various machine learning technologies for the purposes of system optimisation and principles learning.