ST312 Half Unit
Applied Statistics Project
This information is for the 2025/26 session.
Course Convenor
Dr Yunxiao Chen
Availability
This course is compulsory on the BSc in Data Science. This course is available on the BSc in Actuarial Science, BSc in Actuarial Science (with a Placement Year) and BSc in Mathematics, Statistics and Business. This course is not available as an outside option to students on other programmes. This course is not available to General Course students.
This course is not controlled access. If you request a place and meet the criteria you are likely to be given a place.
Requisites
Pre-requisites:
Students must have completed ST102 before taking this course.
Additional requisites:
This course is suitable for third-year students.
Course content
Students will produce a project involving a critical investigation and collation of statistical data on a topic of their own interest.
Teaching
This course will be delivered through a combination of workshops and seminars totalling a minimum of 9 hours across Autumn term, 2 hours of workshop in the Winter term and 2 hours of workshop in the Spring term. Students on this course will have a research week in week 6 of Autumn term where they can look up data sources for their assessed project.
Formative assessment
Oral presentations at the end of Autumn term and Week 6 of Winter term.
Indicative reading
Bryman (2008) ‘Social Research Methods’
Saunders (2009) ‘Research Methods for Business Students’
Johnson (2009) ‘Writing a Quantitative Research Thesis’
Verzani (2002) ‘Using R for Introductory Statistics’
Assessment
Presentation (10%)
Project (90%)
Key facts
Department: Statistics
Unit value: Half unit
FHEQ Level: Level 6
CEFR Level: Null
Total students 2024/25: 24
Average class size 2024/25: 24
Capped 2024/25: NoCourse selection videos
Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.
Personal development skills
- Communication
- Application of numeracy skills