MSc Bioinformatics and Computational Genomics
Overview
The past decade has seen enormous advances in molecular and biomedical technology resulting in the ‘omics’ revolution.
Bioinformatics covers the application of mathematics, statistics and computing to biological and clinical scenarios. It involves the application and development of algorithms and software to understand and interpret ‘Big Data', which is driving medical research, discovery and practice.
Career Prospects
Introduction
The rapid production of 'omics' data within medicine and the life sciences has meant that individuals with analytical experience in this field are highly sought after. Recent graduates have gone on to work in industry in companies such as Almac Diagnostics, Biokinetic Europe and Fios Genomics and some have gone onto further PHD level research.
Learning and Teaching
We provide a range of learning experiences which enable our students to engage with subject experts, develop attributes and perspectives that will equip them for life and work in an advanced society making use of innovative technologies.
Across a combination of morning and afternoon classes, examples of the opportunities provided for learning on this course are lectures, practical experiences learning technologies and self-directed study to enhance employability.
Overview
The past decade has seen enormous advances in molecular and biomedical technology resulting in the ‘omics’ revolution.
Bioinformatics covers the application of mathematics, statistics and computing to biological and clinical scenarios. It involves the application and development of algorithms and software to understand and interpret ‘Big Data', which is driving medical research, discovery and practice.
Career Prospects
Introduction
The rapid production of 'omics' data within medicine and the life sciences has meant that individuals with analytical experience in this field are highly sought after. Recent graduates have gone on to work in industry in companies such as Almac Diagnostics, Biokinetic Europe and Fios Genomics and some have gone onto further PHD level research.
Learning and Teaching
We provide a range of learning experiences which enable our students to engage with subject experts, develop attributes and perspectives that will equip them for life and work in an advanced society making use of innovative technologies.
Across a combination of morning and afternoon classes, examples of the opportunities provided for learning on this course are lectures, practical experiences learning technologies and self-directed study to enhance employability.
