Study information

MMATH Project in Statistics - 2024 entry

MODULE TITLEMMATH Project in Statistics CREDIT VALUE45
MODULE CODEMTHM044 MODULE CONVENERDr Ben Youngman (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11 11
Number of Students Taking Module (anticipated) 20
DESCRIPTION - summary of the module content
In this module you will become part of the research group in statistical science and write an independent project with a substantial research element. You will undertake the project individually, under the supervision of a member of faculty in statistical science and as a part of that member of staff’s wider research group, potentially including post doctoral researchers and PhD students tackling problems in the same or similar areas to yours. There will be a range of potential projects to choose from, aligning with the research interests of the participating members of the statistical science faculty. Projects will typically require mastering some theory beyond that given in undergraduate statistics courses and modelling/data analysis using statistical software, with the weighting of these elements varying according to the research problem. Each student will leave a lasting mark on the department. They will produce a poster, which will be displayed in the department for 1 year and will appear on the statistics webpages. They will be recognised as part of the research group on the statistical science webpages.
 
Note: projects offered will build on material in level 3 Statistics modules and as a result each project will have one or more further prerequisites and/or co-requisites. These will be  specified in the list of projects offered to students and available on the module ELE page. 
 
Prerequisites: MTH2006, Project dependent 3rd year modules
 
Corequisites: Project dependent 3rd/4th year modules
AIMS - intentions of the module

The aim of the module is to put into practice the knowledge and skills you have acquired so far in your degree programme, and to engage you with modern statistical theory and techniques and applied or theoretical statistical research.  You will gain experience of many aspects of statistical research work. These may include: literature review; planning; engaging with an application in another field of science or social science; statistical modelling; data analysis; technical report writing; poster writing and oral presentation. You will be expected to exercise more autonomy on this research project than in more formal modules.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module you should be able to:
 

Module Specific Skills and Knowledge

1. demonstrate a critical appreciation of a research topic in statistical science, and a mastery of the requisite analytical and computational skills;
2. work independently and creatively on a substantial piece of work with application to modern, topical and high-impact science or social science;
3. design and follow systematically the phases of research project development;
 

Discipline Specific Skills and Knowledge

4. show familiarity with the background and context of a new application area;
5. appreciate the symbiotic relationship between statistics and applied science/social science, and evaluate the project within that wider context;
6. engage in interdisciplinary work;
 

Personal and Key Transferable / Employment Skills and Knowledge

7. conduct independent study, including library and web-based research;
8. plan an extended project, and use your time effectively;
9. show enhanced skills in problem formulation, data interpretation (if an applied project), technical report writing, and oral presentation;
10. communicate your work to a non-specialist audience;
11. engage effectively with a research team and recognise the context of your contribution towards the overall goals of that team and of the statistical science group generally.
SYLLABUS PLAN - summary of the structure and academic content of the module

This is specific to the project topic concerned.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 25 Guided Independent Study 425 Placement / Study Abroad 0
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled learning and teaching activities 25 Individual supervision
Guided independent study 425 Guided independent study

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Not Applicable      

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 90 Written Exams 0 Practical Exams 10
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Coursework – written project report 65 25-30 pages All Written
Poster and Oral presentation 20 (10 each) A2 Poster, 20 minutes talk including questions 1,4,7,10,11 Written
Vignette (exploratory/preliminary project report) 15 max 6 1,4,5,7,9,10 Written

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-assessment
As Above Coursework (100%) All Completed over summer with a deadline in August

 

RE-ASSESSMENT NOTES

Reassessment will be by resubmission of the written project report only. For referred candidates, the mark will be capped at 50%. For deferred candidates, the mark will be uncapped.

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Basic reading:

To be made available by project supervisors.

ELE: http://vle.exeter.ac.uk/

Reading list for this module:

There are currently no reading list entries found for this module.

CREDIT VALUE 45 ECTS VALUE 22.5
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) 7 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Tuesday 12th March 2024 LAST REVISION DATE Tuesday 12th March 2024
KEY WORDS SEARCH Statistics, Stats project, Data analysis, Data Science.

Please note that all modules are subject to change, please get in touch if you have any questions about this module.