Master of Research: “Decision Making Under Uncertainty”
The EPSRC and ESRC Centre for Doctoral Training in Quantification and Management of Risk & Uncertainty in Complex Systems & Environments (CDT) comprises a one-year Master of Research (MRes) qualification, which is highly relevant preparation for the PhD study in Years 2 to 4.
The MRes qualification comprises 180 credits in total, having four specific aspects of academic content with their associated credits identified below:
'Quantitative and Qualitative Perspectives of Risk' (15 credits), running the 1st Semester of the Academic Year. This module comprises a series of ‘master class’ lectures from mainly senior UoL teaching staff, with the overall focus to provide students with an extensive range of discipline-based methods and approaches to both the quantification and qualitative assessment of Risk and Uncertainty. This module aims to provide a deep and systematic understanding of the current academic research trends and perspectives in different approaches to Risk and Uncertainty, together with applicable aspects for each research area. It also aims to provide a comprehensive overview of contemporary applications of decision-making under Risk and Uncertainty in areas of Architecture, Computer Science, Engineering, Environment Sciences, Finance, Law, Management, Mathematics, Psychology and Social Sciences; hence widening learners’ perspectives.
'Assessment and Communication of Risk' (15 credits), in the 2nd Semester of the Academic Year. This module examines quantitative tools, industrial experiences and psychological theories related to the process of decision-making and communicating risk. The aim of the module is to provide an overview of the quantitative tools and relevant psychological theories in order to understand how a range of organisational, situational, individual and social factors may affect decision-making, leadership and communication processes in a range of high-risk and uncertain environments for industry/business. This module comprises also Workshops where students will be tasked with designing and delivering a small scale self-generated press conference video, in order to develop the promotion of academic ideas via public speaking, communication, organisational and collaboration skills. Communication experts from industry and academia will provide guidance on how to engage with the general public and transmit ideas effectively. The students will attend a 3-day course on computational methods at the Hartree Centre delivered by core staff. They will have to solve an exercise designed to tackle a practical problem using computational tools and communicating the technical solution in a non-technical manner.
'Research Training and Impact' (15 credits), in the 2nd Semester of the Academic Year. This module comprises a series of tutorials with the aim of providing students with the tools and techniques necessary to start their research activity. These include: poster preparation, presentation skills, bibliographic search, writing skills, research focus and impact. The main aim of this module is to provide a set of tools and skills that will help prepare the students for conducting research once they start their PhD work after graduating from the MRes programme.
A range of existing M-level modules (45 credits in total, from a menu of available options), offered across both the 1st and 2nd semesters. This specific and highly-recommended training is suggested by supervisors of each MRes student, relevant to their research project and themed area of multidisciplinary training. A form with a list of highly recommended optional modules is available here. Please note that any optional module beyond the list of recommended optional modules will need to be approved by the Master Programme Director (Dr Alex Diaz).
See here exhaustive list of Optional Modules and Specifications
'Multidisciplinary MRes Research Projects' (90 credits), which is taken throughout all of the 1st, 2nd and 3rd semesters. This research project is complemented by two annual Colloquia (held at Easter time and in early Summer), where a range of external experts in technical aspects of risk determination and uncertainty quantification provide master-classes, alongside skills sessions from academic publishing companies. This module provides students with the opportunity to undertake an extended research investigation relating to risk and uncertainty, in preparation for their subsequent three years of PhD studies. In the initial months of Semester 2 students will be required to refine the outline CDT research proposal given by their supervisors and industrial advisor, and put forward a Feasibility Study to be conducted over the majority of the MRes year. This will provide a resource for embarking onto the PhD investigation.