📖Program Curriculum
PROGRAMME STRUCTURE
YEAR 1
You will take courses covering topics in probability and introductory statistical methods with examples and case studies illustrating how statistics is used in practice in the real world
You will also study other subjects in 1 and 2
YEAR 2
You will take four courses covering topics in statistical methods and probability introducing the ideas of likelihood and regression modelling
You will also study other subjects in 1 and 2 see Flexible degrees
YEARS 3 4 AND 5
If you proceed to Honours 3 and 4 you will study theory and practical training which involves project planning report writing and the development of presentational skills
You will also complete case studies and projects on topics which may be drawn from the fields of bioinformatics environmental studies medicine psychology sports science and veterinary science
You will undertake and present a project and write a report You will also gain experience in teamwork and learn to use statistical packages as well as gaining appreciation of the use and misuse of computers and computer software in statistics
There is also an opportunity to take an degree over five which explores statistics topics in greater depth and includes an individually supervised research project
Course details
YEAR 1
Core courses
MATHEMATICS 1
You will take courses covering topics in probability and introductory statistical methods with examples and case studies illustrating how statistics is used in practice in the real world
YEAR 2
Core courses
STATISTICS 2R PROBABILITY
STATISTICS 2S STATISTICAL METHODS
MATHEMATICS 2A MULTIVARIABLE CALCULUS
MATHEMATICS 2B LINEAR ALGEBRA
STATISTICS 2X PROBABILITY II
STATISTICS 2Y REGRESSION MODELLING
MATHEMATICS 2D MATHEMATICAL METHODS AND MODELLING
You will take four courses covering topics in statistical methods and probability introducing the ideas of likelihood and regression modelling
You will also study other subjects in 1 and 2 see
YEAR 3
Core courses
INFERENCE 3
LINEAR MODELS 3
INTRODUCTION TO R PROGRAMMING
BIOSTATISTICS
MULTIVARIATE METHODS
STOCHASTIC PROCESSES
GENERALISED LINEAR MODELS
TIME SERIES
DESIGN OF EXPERIMENTS
DATA ANALYSIS
PROFESSIONAL SKILLS
BAYESIAN STATISTICS
YEAR 4
Core courses
PRINCIPLES OF PROBABILITY AND STATISTICS
ADVANCED BAYESIAN METHODS
FLEXIBLE REGRESSION
LINEAR MIXED MODELS
ADVANCED DATA ANALYSIS
STATISTICS PROJECT
If you proceed to Honours 3 and 4 you will study theory and practical training which involves project planning report writing and the development of presentational skills General topics covered across courses include probability modelling design inference Bayesian methodology and a range of applications including biostatistics environmental statistics and financial statistics
You will also complete case studies and projects on topics which may be drawn from the fields of bioinformatics environmental studies medicine psychology sports science and veterinary science
One important feature of project activities is a presentation You will give a talk describing your project problem your analyses and results This along with writing a report in non-technical language provides you with two important transferable skills You will also gain experience in teamwork and learn to use statistical packages as well as gaining appreciation of the use and misuse of computers and computer software in statistics
There is also an opportunity to take an degree over five which explores statistics topics in greater depth and includes an individually supervised research project
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