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.
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.
