Sign up to our newsletter today
We've been helping students find the right postgraduate course for over a decade.
Login to your account
Enter your username below to login to your account.
Masters degrees in Engineering / Industrial Mathematics are concerned with the application of mathematical principles in areas of engineering, industrial systems and mechanical processes.
Related postgraduate specialisms include Electronic Engineering, Space Engineering, and Mechanical Engineering. Entry requirements typically include a relevant undergraduate degree in a Mathematics subject.
Also known as technomathematics, Engineering Mathematics is a broad, highly interdisciplinary field, combining methodologies and techniques from areas such as Mechanics, Electronic Engineering, Physics, Geology and Computer Science.
Algorithms and mathematical modelling are essential for understanding many computerised systems, mechanical operations, and industrial systems and processes. As such, there are a range of specialisations for you to choose from.
For example, you may specialise in the production of robotics equipment for industrial purposes such as mining, or develop human-computer interfaces for the management of control systems in automobiles.
Alternatively, you might work within fields such as medicine, aerospace, spaceflight or defence systems to create high-end optical imaging instruments like ultrasound, ground-based telescopes, long-range surveillance cameras and free-space optical communication systems.
Other careers may include research-based roles, for which you may wish to pursue a PhD following your Masters degree.
All Course Types
All Study Types
All Start Terms
The NUS Master of Science (MSc) in Industry 4.0 is a multidisciplinary graduate degree programme to help you keep pace with the changing nature of industries amid technological disruptions, and lead transformation to enhance productivity in the workplace. Read more
In today's uncertain global competition platform and economy, manufacturing and engineering are two of the most important pinnacles for a sustainable growth of any country. Read more
Our MSc Industrial Mathematical Modelling will equip you with the skills and techniques required by industrial mathematics, including the real world problem-solving abilities in applied mathematics that are highly sought after within industry and commerce. Read more
Without mathematical tools, there would be no internet search engines, no weather forecast, no security in banking. Mathematical models and techniques play an important role in automatic pilot technologies, the analysis of complex data, the design of quieter cars, the optimisation of wind farms and medical scanners. Read more
The Department of Systems Science and Industrial Engineering (SSIE) offers students the opportunity to examine complex systems in industry and manufacturing settings, healthcare environments and society in general as they study areas ranging from intelligent systems and fuzzy logic to supply chain management and human factors. Read more
The aim of ISMM is to equip numerate graduates with the academic skills, personal development and industrial experience to be immediately effective in their early careers in industry. Read more
This study programme aims at preparing professionals who are able to deal with complex design and managing problems by using advanced mathematical tools, yet with an engineering attitude. Read more
Programme overview Engineering mathematics is the art of applying mathematical and engineering principles to complex, real-world problems across areas as wide-ranging as artificial intelligence, ecology, medicine, physics, social media and sustainability. Read more
The Master’s degree captures the evolution of professional engineers proposing an advanced study programme that combines both solid fundamental knowledge of physical processes and deep theoretical and technological competences. Read more
“InterMaths – Interdisciplinary Mathematics” is a 2-Year full-time Erasmus Mundus Joint Master Degree in Mathematical Modelling and Simulation with interdisciplinary applications, with a special focus on biomedical Sciences and industrial engineering. Read more
Taught in both Exeter and London and designed for professionals wishing to study alongside work. Gain skills in data science and get a formal qualification, while remaining in full time employment. Read more