Statistics Research Project 5 STATS5063P

  • Academic Session: 2018-19
  • School: School of Mathematics and Statistics
  • Credits: 80
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Runs Throughout Semesters 1 and 2
  • Available to Visiting Students: No

Short Description

to provide experience of independent working on a major area of applied or theoretical Statistics; to develop written and verbal presentation and communication skills

Timetable

Supervision runs through semester 1 and 2

Requirements of Entry

Students are required to be enrolled in Level 5 of the MSci in Statistics degree

Assessment

Project (80%) Oral Presentation (10%) Draft Chapter and plan (10%)

Are reassessment opportunities available for all summative assessments? No

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

Course Aims

to provide experience of independent working on a major area of applied or theoretical Statistics
to develop written and verbal presentation and communication skills

Intended Learning Outcomes of Course

By the end of this course students will be able to:

 

■ integrate knowledge gained from the lecture courses and skills gained from the data analysis and lecture programmes in Level 4 and 5 in order to carry out a substantial piece of advanced statistical research;

■ demonstrate a sound understanding of the major issues in the area of applied or theoretical Statistics in which the project is posed;

■ demonstrate the ability to plan an extended piece of statistical research and to carry it out;

■ demonstrate a critical appreciation of the statistical issues involved in addressing the research questions;

■ construct a relevant literature review;

■ develop and implement the relevant statistical methodology using statistical packages and programming as required, this is likely to include methods not formally introduced in other components of their degree programme;

■ present and interpret the results, including critical review and discussion thereof in a well-structured thesis;

■ present the results of the research orally to an audience.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.