Imagine a future where you can virtually design and test advanced engineering systems, as well as predict and detect complex physical behavior. Imagine you can revolutionize industries by simulating reality – all from your computer! With the advent of modern computer architectures, computational science has become a pillar in modern engineering disciplines. Together with theory and experimentation, computational science is used to characterize, forecast, and simulate physical events and engineering systems.
The Master’s track Computational Engineering (CE) is the interface between engineering, mathematics, and computer science. This master’s track embodies an emerging and interdisciplinary field that empowers engineers to utilize computers and data to solve complex engineering problems, optimize designs and simulate real-world systems. By creating digital twins of real systems, computational engineers can efficiently address industrial, societal, and environmental challenges, by performing analyses that may be too expensive or difficult to study with experimentation.
What’s in it for me?
The Computational Engineering Master’s track is about acquiring broad knowledge and skills to understand and apply computational methods, artificial intelligence, and mathematical models in mechanical engineering. Such knowledge empowers you to become a computational engineer with the skills to creatively address complex engineering challenges through simulations and data analysis. Your interdisciplinary profile will enable you to work in diverse teams, a key quality that is sought after within the industrial and research communities. Moreover, mastering programming, algorithm development, and data manipulation not only empowers you in the field of engineering but also opens doors to diverse industries where computational skills are in high demand.
What’s the track all about?
The CE Master’s track integrates a comprehensive range of interdisciplinary courses. Students delve into topics like mathematical modeling, numerical methods, simulation, visualization, optimization, and data analysis to describe real-world systems, predict their mechanical behavior, and optimize designs. Furthermore, this master’s track ensures you specialize in specific mechanical engineering fields, namely in Thermo-Fluids Engineering (TFE), Computational and Experimental mechanics (CEM), or Dynamical Systems Design (DSD). These curated topics and courses collectively provide a strong foundation in computational engineering, empowering students to tackle intricate scientific and engineering problems, such as the computation-based design and control of engineering systems or the prediction of physical phenomena using modeling and simulation.
Why would this master’s track be a good fit for me?
If you are interested in using modeling and simulation technologies to address scientific, engineering and industrial challenges, enroll for the CE Master’s track! To apply for this track, you need an undergraduate degree in engineering, applied mathematics, computer science, applied physics, or another related field. Courses and training in this master’s track will build on your mathematical skills, programming proficiency, problem-solving approaches, and prior knowledge in mechanics.
Why should I follow this master’s track at TU/e?
By offering a master’s track that focuses on the interdisciplinary nature of computational sciences and engineering, CE at TU/e is a unique study opportunity in the Netherlands. At TU/e, and especially within the Mechanical Engineering department, we recognize the immense potential of interdisciplinary work. Thanks to our interdepartmental bachelor and master’s courses, as well as our dedicated interdisciplinary research calls, we nurture and foster an environment that builds bridges across different fields.
Our program offers an immersive and interdisciplinary curriculum. Dive into the world of simulation, modeling, and data analysis as you unravel complex engineering challenges. With access to state-of-the-art computing facilities, mentoring by esteemed faculty members and close ties with industrial partners and the Brainport region, you develop a profound understanding of how computational methods drive innovation across various scientific and industrial fields. Whether your passion lies in aerospace, energy systems, high-tech, software or biomedical engineering, our program equips you with the expertise to revolutionize designs, optimize processes, and advance technological frontiers.
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This program is NVAO-accredited. In the Netherlands, the NVAO assesses the internal quality assurance of universities and colleges and the quality of their programs.