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
日本
韓國
英國










