Modelling is critical to industry and society
Employers need graduates with strong modelling skills
Process modelling plays an ever-increasing role within industry. Increased competition requires more detailed, higher fidelity models for design and operational decision support. New products and new processes are not covered by standard model libraries. Employers need engineers who can do more than make spreadsheets or press buttons on pre-built flowsheets. PATH teaches you the skills to build and implement models in a way that will be required beyond the classroom.
Modelling and simulation are going to be crucial in the future of engineering. It’s also a very transferrable skill if you want to go into other industries like finance and consulting.
In the type of research that I do, interfacing between academia and industry, I need to know more about modelling.
There’s a real gap between what I learned in university and what I needed in industry.
During my undergraduate program I hardly did any modelling, but if I’d known I’d require it so much in my day-to-day work, I would have liked to have more.
Taking decisions is part of your everyday life as an engineer, using modelling as a predictive tool has proven to be priceless in terms of time saving and accuracy.
Modeling helps me better understand a real-life process when I work in the pharmaceutical industry. It plays a critical role for process analysis and optimization.
Modeling helps me think of new ways of making a product without performing an expensive or time consuming experiment.
The application of modelling has been important in my professional career. It is very interesting to use modelling in areas to understand and improve chemical processes.
PATH teaches you the modelling skills employers need!
Be prepared for digitalization and learn skills that apply across any industry
21st century engineering takes more than a spreadsheet
Modelling for real processes requires features and technologies that spreadsheets cannot handle. PATH materials help you learn how to start from a business problem, determine what is really important, and translate that into a useful mathematical model. As every industry sees more digitalization of development, manufacturing processes and control systems, engineers need a working knowledge of advanced process modelling tools and technologies.
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