This module gives the students an opportunity to carry out independent study of a topic in Financial Data Science that particularly interests them. This will involve either applying or expanding the skills learned in the taught modules. It will also involve critical analysis of the problem under investigation in the context of known literature, description of the methods used or developed and presentation of the final results.
Learning Outcomes
By the end of the module students should be able to:
Demonstrate a comprehensive understanding of a number of modern research techniques in financial data science underpinned by a knowledge of the fundamental principles in the area
View and carry out critical analysis of a problem based on the fundamental principles of financial data science
Independently plan a period of research and manage their time
Demonstrate a comprehensive understanding and apply the financial data science methods
Have the ability to communicate mathematical, or otherwise, ideas to audience with non-mathematical background
Prepare a report at professional standard
Assessment
Assessment Methods & Exceptions
Assessment:
Written final project report (70%) 12,500 words submitted in September; project oral presentation (10%) given in late August; supervision meeting reports (10%); draft dissertation (10%) 6,250 words submitted in late August..
