Actuarial Science and Data Analytics Dissertation

Module code: MTH7029P

Credits: 60.0
Semester: SEM3

Contact: Dr Oscar Bandtlow

Each Actuarial Science and Data Analytics MSc student is required to complete a 60 credit project dissertation. Students may find a potential supervisor and fill out an Approval Form by the end of Semester B. The module organiser will support this process and ensure that all students are allocated supervisor and project.
The supervisor and project must be approved by the Actuarial Science and Data Analytics MSc Programme Director, and the process for this, which may involve an interview with the student, takes place as approval forms are submitted. A typical MSc project dissertation consists of about 30 word-processed pages, covering a specific research-level, industry applied topic in Actuarial Science and Data Analytics. The dissertation will follow the CP2 and CP3 (Core Practices) syllabuses of IFoA examinations. The project will consist of two parts: modelling and communication. The modelling part ensures that the student is able to critically analyse and model commonly used data in actuarial work, maintaining an audit trail, using analytical and statistical methods (performing computation, simulations, or analysis) and generate innovative outputs . The communication part ensures that the student is able to communicate effectively in writing to both actuarial and non-actuarial audiences. An oral presentation of results may be required. The student usually will work on case studies in order to understand and explain actuarial questions. Results from one or more journal articles need to be applied. An MSc project may also involve collaboration with a collaborator based in industry. An MSc project should help prepare students for working as qualified actuaries and even following PhD research.

Connected course(s): UDF DATA
Assessment: 100.0% Dissertation
Level: 7