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Research Project (STAT0034)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Statistical Science
Credit value
60
Restrictions
This module is only available to students registered on the following degree programmes: MSc Data Science - MSc Medical Statistics and Data Science - MSc Statistics.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module aims to enable students to apply statistical science to real world problems and to present their findings in a written report. It is intended for students registered on the taught postgraduate degree programmes offered by the Department of Statistical Science.

Intended Learning Outcomes

  • be able to plan a suitable schedule for completing an extended project;
  • be able to obtain or access relevant background information and data;
  • be able to select and apply appropriate formal and informal statistical methods, using computer software as appropriate;
  • be able to assess what has been achieved and point to further research;
  • be able to use appropriate word processing skills to write up a project dissertation efficiently;
  • be able to communicate findings both technically and non-technically, in a word processed dissertation and an oral presentation.

Scheduled Teaching Activities - Preparation for the project starts with several practical exercises, presented and discussed in workshop sessions during Terms 1 and 2. Topics include preparing and presenting short talks, presenting information in tabular and graphical form, reading and digesting other people’s research, and the use of the document preparing system LaTeX. Students typically begin work on their project at the start of June. Over the course of the project, student and supervisor meet regularly.

Module deliveries for 2024/25 academic year

Intended teaching term: Academic year (terms 1, 2, and 3) ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
80% Dissertations, extended projects and projects
20% Viva or oral presentation
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
62
Module leader
Dr Chak Hei Lo
Who to contact for more information
stats.pgt@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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