Data science unifies statistics, data analysis and their related methods in order to understand and analyse phenomena in applications ranging from healthcare to finance.
It is an interdisciplinary research area that employs techniques and theories drawn from many fields. In our department our main areas of research interest are statistics and actuarial science, and operational research.
Many of our academics are also members of the university's Institute for Analytics and Data Science, and work closely with the Institute for Social and Economic Research, the School of Computer Science and Electronic Engineering, and the School of Life Sciences.
Statistics and actuarial science
Statistics is concerned with modelling and analysing data, designing experiments, and making inferences, predictions and decisions in the presence of risk. The main research interests in the department are:
- Monte Carlo Methods
- Bayesian computational statistics
- Longitudinal and survival analysis
- Causal inference
Operational Research
Operational Research deals with the application of mathematical optimisation to help make better decisions and arrive at optimal or near-optimal solutions to complex decision-making problems.
At Essex our work has an emphasis on human-technology interaction and focuses on practical applications that overlap with other disciplines, notably industrial engineering and operations management. Research interests in this area include:
- (Approximate) Dynamic Programming and its application in pricing, demand scheduling, emission control and other transportation and telecommunication problems.
- Transportation modelling and methodologies including; e-fulfilment, attended home deliveries, container transportation, and robot/drone assisted delivery network.
- Renewable energy, decarbonisation of delivery networks and electric vehicles.
You can find out more about our academic's areas of research interest using the staff list below.
