Applied Statistics and Data Science Dissertation
Module code: MTH7022P
Credits: 60.0
Semester: SEM3
Contact: Dr Oscar Bandtlow
A list of supervisors and projects will be provided in Semester B from which students can choose. Students will be offered the opportunity to discuss the project with potential supervisors in order to ensure an optimal match. They will then complete the Applied Statistics and Data Science MSc Project Approval Form by the end of Semester B.
The module organiser will support this process and ensure that all students find a project and supervisor in Semester B.
A typical MSc project dissertation consists of about 30 word-processed pages, covering a specific research-level topic in Applied Statistics and Data Science, usually requiring the student to understand, explain and elaborate on results from one or more journal articles and/or performing computation, simulations, or analysis. An MSc project may also involve collaboration with a collaborator based in industry. An MSc project should help prepare a good student for PhD research and even allow an excellent student the possibility of doing some research.
Connected course(s): UDF DATA
Assessment: 100.0% Dissertation
Level: 7