We are in the next industrial revolution and the challenge faced by graduates is to succeed in an age of automation. There is no aspect of modern life that is now not altered by information processing engines.
Examples include teaching (online learning and assessment), automotive (driverless cars and electronic control systems), the economy (high speed automated trading), entertainment and shopping (virtual assistants and recommendation engines), health (automated diagnostics and non-invasive body scanning) and the digital humanities.
The postgraduate course in Computational Engineering (a strand of the postgraduate course in Electronic Information Engineering) aims to equip graduates with a deep knowledge and understanding of the design tools for modern computational science and engineering.
Data driven computational science
This course provides a unique opportunity for involvement in the emerging and topical area of data driven computational science with applications focusing on ‘data-centric’ approaches. A wide variety of choices is available from leading edge modules on Cyber-physical Systems; Quantum Computing; Simulation for Geophysical Modelling; and Computation for Transportation Engineering.
The course has strong industrial focus and collaboration with industries such as Huawei, Integrated Environmental Solutions and Alstom, and exposes the students by hands-on training to the software developing kit of IBM for quantum computing, artificial intelligence (AI) and machine learning (ML) tools for logistics with support from Alstom, and geophysical modelling and simulation tools for energy and climate science applications in collaboration with MIT. The course is designed to provide graduate engineers with skills to design modern computational products and systems.
This is a one-year full time or two/three year part-time postgraduate course and consists of taught modules worth 60 credits and a research project worth 30 credits to be undertaken supervised leading experts and researchers in the field.
In addition to direct entry to the MSc, parallel postgraduate certificate, (30 ECTS), and postgraduate diploma (60 ECTS) entry routes are available for direct separate application.
For students who successfully complete the postgraduate certificate and postgraduate diploma, there is an option to rescind these awards and apply to complete an MSc. Part-time students may follow the staged award path over three years of study with a possible gap of up to one year in between.
Admission is normally restricted to graduates who have achieved an upper second-class honours degree (2.1), or better, in engineering, science, computing, statistics, mathematics or a related discipline. Well-qualified candidates or industry professionals from other numerate disciplines who have sufficient knowledge of computational aspects of engineering and science, may also be considered.