📖Program Curriculum
PROGRAMME STRUCTURE
Modes of delivery of the Masters across the Statistics programmes include lectures laboratory classes seminars and tutorials and allow students the opportunity to take part in lab project and team work
Students are required to take 1 compulsary taught course and select 11 courses from the optional courses in semesters 1 and 2 We recommend you take 6 courses per semester
Note course choice is subject to timetabling constraints and should be discussed with your advisor of studies
Semester 1
Optional courses
ADVANCED BAYESIAN METHODS LEVEL M
BIOSTATISTICS LEVEL M
FLEXIBLE REGRESSION LEVEL M
LINEAR MIXED MODELS LEVEL M
MULTIVARIATE METHODS LEVEL M
PRINCIPLES OF PROBABILITY AND STATISTICS LEVEL M
STOCHASTIC PROCESSES LEVEL M
INTRODUCTION TO STATISTICAL PROGRAMMING IN R AND PYTHON
Semester 2
Core course
DATA ANALYSIS SKILLS LEVEL M
Optional courses
BAYESIAN STATISTICS LEVEL M
DESIGN OF EXPERIMENTS LEVEL M
ENVIRONMENTAL STATISTICS LEVEL M
FUNCTIONAL DATA ANALYSIS LEVEL M
SPATIAL STATISTICS LEVEL M
STATISTICAL GENETICS LEVEL M
ADVANCED PREDICTIVE MODELS
Project summer
ADVANCED STATISTICS PROJECT AND DISSERTATION
Programme alteration or discontinuation
The University of Glasgow endeavours to run all programmes as advertised In exceptional circumstances however the University may withdraw or alter a programme For more information please see Student contract