Under supervision, you will carry out original experimental and/or modelling work. You will write a dissertation critically analysing and presenting your...

Research Project in Natural Sciences (NSCI0025)

Under supervision, you will carry out original experimental and/or modelling work. You will write a dissertation critically analysing and presenting your results, and you will also be expected to defend an oral presentation of your work.

Students who complete this project will learn to

Demonstrate critical understanding of current problems and/or new insights in a substantial area of study in a major scientific discipline, at a level of preparation suitable for employment or further study at doctoral level in a related field
 Deploy accurately established techniques of analysis and enquiry and demonstrate a practical understanding of how established methods of research and enquiry are used to create and interpret knowledge in a scientific discipline
 Plan and carry out a research programme independently and assess the significance of outcomes
 Understand ethical and societal responsibilities, environmental impact and sustainability in a scientific context, and demonstrate ethical behaviour in their own work
 Adhere to responsible laboratory or field practice regarding data collection and recording, and laboratory/field safety.
 Manage self-learning and work to deadlines
 Express arguments clearly both orally and in writing, using technical language appropriately to communicate complex information and research to both specialist and non-specialist audiences

Research Project in Natural Sciences (NSCI0024)

Research Project in Natural Sciences (NSCI0023)

This course builds on Financial Mathematics and Financial Econometrics and aims to deliver an overview of the state-of- the art econometric methods used by...

Time Series Analysis and Forecasting (MSIN0106)

This course builds on Financial Mathematics and Financial Econometrics and aims to deliver an overview of the state-of- the art econometric methods used by researchers and practitioners in the empirical analysis of financial data.

The main focus of the course is on time series methods, i.e., the analysis of data measured over time and at different frequencies, with the goal of building models explaining the dynamic evolution of economic and financial data over time. Important applications will focus on risk management and on forecasting.