Biological science is being transformed by a range of high-throughput technologies that generate vast amounts of data. These technologies include high-throughput genomic sequencing, imaging, screening and proteomics.
Skills that equip scientists and researchers with the expertise to extract biological meaning from this data are therefore in high demand.
This programme uses concepts from data science to train students in a generic set of skills that can be adapted to solve problems in a flexible way across different types of data. The aim is to complement and extend existing approaches, especially those from bioinformatics, with data science, to build highly adaptable skill sets for modern biological research.
On this programme, you will be deeply focused on applying data science concepts within the domain of biological sciences. You will learn approaches to manage and interpret complex data such as statistics and data analysis, machine learning, programming, and data analysis workflows, using Python and R, as well as algorithms and developing and querying databases. Not only will you gain knowledge of these subjects, but you’ll also learn how to apply this knowledge to make real biological discoveries from large-scale data. These skills are taught at an advanced level with a research-focused approach, preparing you for working in modern high-tech industries or in research.
To find international equivalent qualifications, select where you studied from the country or region list.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 381 位 | 东英吉利大学University of East Anglia | 1年 | 25700英镑/年 |