Key information
- Faculty
- Faculty of Mathematical and Physical Sciences
- Teaching department
- Statistical Science
- Credit value
- 30
- Restrictions
-
This module is only available to students registered on the following degree programmes: BSc Data Science - BSc(Econ) Economics and Statistics - BSc/MSci Mathematics and Statistical Science - BSc Statistics - BSc Statistics and Management for Business - BSc Statistics, Economics and Finance - BSc Statistics, Economics and a Language - MSci Statistical Science (International Programme).
- Timetable
-
Alternative credit options
This module is offered in several versions which have different credit weightings (e.g. either 15 or 30 credits). Please see the links below for the alternative versions. To choose the right one for your programme of study, check your programme handbook or with your department.
- Project (STAT0036)
This module aims to enable students, under supervision, to apply statistical science to real world problems and learn how to communicate technical ideas both by oral and written presentations. It is intended for third and fourth year students registered on the undergraduate degree programmes offered by the Department of Statistical Science (including the MASS programmes).ÌýFor these students, the academic prerequisites for this module are generally met through compulsory study earlier in their programme, although some project topics may require particular optional modules to have been taken in addition.
Intended Learning Outcomes
- be able to obtain or access relevant background information and data;
- be able to select and apply appropriate formal and informal statistical methods, using appropriate computer software;
- be able to assess what has been achieved and point to further research;
- be able to use appropriate word processing skills to write up the project report efficiently;
- be able to communicate and defend the main points in a short verbal presentation;
- be able to communicate the whole project in a word processed report.
Scheduled Teaching Activities - Workshops, tutorials with the project supervisor.
Module deliveries for 2024/25 academic year
Intended teaching term:
Terms 1 and 2 ÌýÌýÌý
Undergraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In Person
- Methods of assessment
-
80%
Coursework
20%
Viva or oral presentation
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
10
- Module leader
-
Dr Chak Hei Lo
- Who to contact for more information
- stats.ugt@ucl.ac.uk
Intended teaching term:
Terms 1 and 2 ÌýÌýÌý
Undergraduate (FHEQ Level 6)
Teaching and assessment
- Mode of study
- In Person
- Methods of assessment
-
80%
Coursework
20%
Viva or oral presentation
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
42
- Module leader
-
Dr Chak Hei Lo
- Who to contact for more information
- stats.ugt@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.
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