This innovative programme spans topics from diverse disciplines required for rapid professional advancement in the microelectronics industry.
A range of taught subjects cover core topics such as advanced architectures and system design using FPGA and DSP platforms, before progressing into more specialised areas such as digital and analogue ASIC design, integrated sensors and actuators and mixed-signal design.
A new multi-partner project to build relay-based FPGAs led by one of the leading semiconductor vendors in the World, Microsemi, and involving University of Bristol (led by Dinesh Pamunuwa), Southampton University and Moog started in May 2016. This project will aim to build the world's first nanoelectromechanical relay-based IC, for deployment in harsh environments and ultra-low power applications. As a student on the MSc AMSE programme you will have exposure to the latest developments, as well as industry-standard tools and methods, at the cutting edge of microelectronics and VLSI.
Over the duration of the programme you'll be taught by experts in the field of microelectronic systems engineering, such as:
On this programme you'll have the opportunity to work on fascinating and wide-ranging projects. Below are example project proposals from the 2015/16 year:
We are transferring Coverage-Driven Verification techniques from hardware verification to the verification of robotics code running in ROS, the Robotic Operating System. Projects are available to assess the suitability of the "e" language for test generation aimed at simulation-based verification of robotics applications. Target robotic platforms include the PAL Robotics Tiago robot and the BERT robot at the Bristol Robotics Laboratory.
At the end of 2015, the first sub-threshold processors became commercially available with the potential of obtaining up to one order of magnitude increase in computation for the same power at reduced voltages of around 0.5 volts. This project will use a sub-threshold processor developed by Ambiq based on an ARM Cortex M4 and investigate the different low-power modes available in this core. We will then construct a simple power model using linear regression based instruction counts and processor state to try to predict the energy required to execute a task at a particular level of performance.
The last year has been one of the most challenging and rewarding experiences of my life. I learnt about all aspects of computing from the design of the electronic hardware to the software and applications that run on it, it gave me a well-rounded knowledge on micro-electronics and embedded computing.
Applications Engineer, ARM
(MSc Advanced Microelectronic Systems Engineering, 2013/14)