The University of Birmingham is a public research university located in Edgbaston, Birmingham, United Kingdom. It received its royal charter in 1900 as a successor to Queen's College, Birmingham, and Mason Science College, making it the first English civic or 'red brick' university to receive its own royal charter. The University have a long and proud history of firsts, at the University of Birmingham; they were the first – and are now one of the largest - civic universities in the UK.

At Birmingham, the institution teach and research across the full breadth of academic disciplines, creating a vibrant community with multi-disciplinary opportunities for research and education. The University is a truly international community consisting of more than thousands of staff, students, and alumni. The student community is not only one of the largest of any UK university, it is highly diverse, with 82 per cent of home undergraduate students from state schools, 32 per cent from a BAME background, and 35 per cent in the first generation of their family to attend university.

Genome Dynamics (20 credits)
This module aims to consider critical aspects of how genomes, particularly the human genome, are organised, regulated, maintained and copied. This module will go into the detail required to understand and study how a genome functions as a physical, dynamic package of information and the vulnerabilities that it is prone to. We will introduce students to a variety of experimental model systems and techniques used in cutting edge genome research being carried out by researchers at the University. Finally, we will encourage critical assessment of published literature and creative thinking around experimental design in genome biology. This module will build on previous learning anticipated from students’ BSc-level learning.

Introduction to BioInformatics (20 credits)
This module aims to develop an understanding of how bioinformatics is at the core of modern biomedical science. It will deliver a practical grounding in how computing, maths and statistics underpin the modern analytical approaches of “Big Data” generated using 'omic technologies. The module underpins and complements the other taught modules in the programme and will provide both understanding and practical skills to students to enable them to use appropriate bioinformatics tools in their research projects, while also facilitating effective communication with bioinformaticians.

Application of Genomic Approaches to Biomedical Research (20 credits)
This module aims to explore how functional genome biology informs advances in biomedicine. The module will deliver a firm grounding in the way that modern analytical approaches of Big Data generated using cutting edge ‘omic technologies have influenced advances in our understanding of human disease and its management. It will consider ‘omic technologies that can capture genetic, epigenetic, and expression changes in different biological sample types in the lab and clinic and the computational approaches utilised to process and analyse the generated data. It will also explore the types of patient cohorts and samples needed to generate the most fruitful data sets and examine how ‘omic data provides novel means to manage specific diseases risk, progression, and treatments.

Research Project (120 credits)
This module provides students with an opportunity to take the knowledge acquired during the taught elements of the course in ‘Introduction to Bioinformatics’, ‘Genome approaches’ and ‘Genome Dynamics’ to develop their research skills in laboratories that use functional genomic approaches to address fundamental questions in genome biology. Therefore, projects will have both ‘wet’ lab and ‘dry’ lab elements to ensure that the students acquire a broad range of experimental skills relevant to the study of genome biology. To cater for individual student needs, exclusively ‘wet’ lab and ‘dry’ lab projects will also be offered. Projects will typically be offered in the areas of cancer genetics, developmental genetics, DNA damage, replication and segregation, translational biology, and drug development, all of which are research strengths at UoB, and all utilise omic technologies and informatics approaches for large dataset analyses.

You will need to book the accommodation after you have been accepted.

You can choose to live on campus or off campus in private accommodation.

• Make a booking online after you have been accepted (in this case please let us know your choice when you apply).
• Register when you arrive - its not possible to reserve a room before arriving. You can arrive a few days before and book it