Data Intensive Science

专业详情

The course responds to the growing:

• demand for highly trained research scientists to design and implement data analysis pipelines for the increasingly large and complex data sets produced by the next generation of scientific experiments;
• societal demand for data science and data analysis skills in the industry, especially when applied in strategic domains (science, health) and economic areas (finance, e-commerce);
• need to train postgraduate students with a deep understanding of data science techniques and algorithm building for modern computer architectures and utilising industry best practices for software development;
• importance of open science in research, specifically reproducibility of scientific results and the creation of public data analytic codes.

Learning Outcomes

By the end of this course, students will have: 

• thorough knowledge of statistical analysis including its application to research and how it underpins modern machine learning methods;
• comprehensive understanding of data science and machine learning techniques and packages and their application to several practical research domains;
• developed advanced skills in computer programming utilising modern software development best practices created in accordance with Open Science standards;
• demonstrated abilities in the critical evaluation of data science tools and methodologies for their real-world application to scientific research problems.