This module runs partly in term 2 and partly in term 3. It is available for students on a course where it is a listed option and as an Unusual Option to students who have completed the prerequisite modules. It is strongly recommended for any students intending to do substantial data analysis.
Students wishing to pursue the integrated Masters MMORSE are expected to take ST221 in Year 2. Data Science students will find it highly relevant for their third year project. ST221 may form part of the criteria for determining places on ST modules with capped numbers such as ST340 Programming for Data Science and ST344 Professional Practice of Data Analysis.
Prerequisites for Statistics students: ST115 Introduction to Probability, ST218 Mathematical Statistics A and ST219 Mathematical Statistics B (taken concurrently).
Prerequisites for NonStatistics students: ST111/ST112 Probability A & B and ST220 Introduction to Mathematical Statistics. Basic knowledge in R such as covered in ST104 Statistical Laboratory I will be useful.
Results from the coursework from this module may be partly used to determine exemption eligibility in the computer based assessment components of the Institute and Faculty of Actuaries modules CS1, CS2, CM1 and CM2. (Independent application to the IFoA may be required.)
To introduce the ideas and methods of statistical modelling and statistical model exploration. To introduce students to the application of R software and its use as a tool for statistical modelling, specifically for working with linear models in a variety of different scenarios.
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
By the end of the module, students should be able to:
View reading list on Talis Aspire
TBC
TBC
Type  Required  Optional 

Lectures  30 sessions of 1 hour (25%)  2 sessions of 1 hour 
Practical classes  4 sessions of 1 hour (3%)  
Private study  50 hours (42%)  
Assessment  36 hours (30%)  
Total  120 hours 
Weekly revision of lecture notes and materials, wider reading and practice exercises, working on problem sets and preparing for examination.
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Students can register for this module without taking any assessment.
Weighting  Study time  

Assignment 1  15%  18 hours 
Due in week 7 of term 2. 

Assignment 2  15%  18 hours 
Due in week 1 of term 3. 

Oncampus Examination  70%  
The examination paper will contain four questions, of which the best marks of THREE questions will be used to calculate your grade. ~Platforms  Moodle

Weighting  Study time  

Inperson Examination  Resit  100%  
The examination paper will contain four questions, of which the best marks of THREE questions will be used to calculate your grade. ~Platforms  Moodle

Reports will be marked and feedback returned to students within 20 working days.
Solutions and cohort level feedback will be provided for the examination.
This module is Core for:
This module is Optional for:
This module is Option list A for:
This module is Option list B for: