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Core courses：
Bayesian Statistics
Big Data Analytics
Data Management and Analytics using SAS
Generalised Linear Models
Introduction to R Programming
Preliminary Mathematics for Statisticians 1
Probability 2
Regression Models2
Statistical Inference2

One Course is optional for students with sufficient background in Linear Algebra and Calculus.
In your project (60 credits) you will model data collected from research in environmental science, assessed by a dissertation.

Optional courses
Students choose at least two courses from group 1 and at least one course from group 2.
Group 1
Artificial Intelligence
Information Retrieval
Machine Learning
Programming

Group 2
Data Analysis
Professional Skills

Group 3
Biostatistics
Design of Experiments
Environmental Statistics