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  • DeadlineStudy Details: MSc Full-time (1 year), Part-time (2 years)

Course Description

Designed to prepare you to interact with the world’s most advanced biological and clinical datasets - this programme will prepare you for careers, or further graduate work, in the omics-enabled biosciences.

The future of biology is bioinformatics – computational analysis procedures that leverage state-of-the-art statistics and machine learning to gain insight into systems of exquisite complexity. We have entered an era of unprecedented expansion in the biological sciences, and our data now grows exponentially faster than Moore’s law.

The biological sciences have been transformed by the advent of omics. Enabled by revolutionary advances in molecular sequencing and mass spectrometry, it is now possible to sequence a genome in six hours, simultaneously assess the expression level of every gene in a genome, quantify the abundance of proteins and metabolites, and determine the epigenetic and regulatory landscape of individual cells. Hypotheses are generated through the integrative analysis of enormous datasets, and tested in high-throughput with third-generation genome-engineering technologies, including CRISPR.

Entry Requirements

2:1 or equivalent in Biology, Mathematics, Computer Science or other relevant subjects.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

The University of Birmingham is offering AI and Data Science Masters Scholarships in 2024-2025 for nine Masters programmes to upskill students from under-represented backgrounds to progress into the AI and Data Science workforce.

This will include over 100 students from under-represented groups, particularly women, Black and disabled students and those from low-socioeconomic backgrounds, who will each be supported by a £10,000 scholarship.

Scholarship funding will be prioritised for women, Black students, disabled students and those from lower socioeconomic backgrounds, to ensure that AI reflects the makeup of our society. Funding is intended only for those under-represented students who meet the eligibility criteria.

Student Destinations

We recognise that as a postgraduate student you are likely to have specific requirements when it comes to planning for your next career step. Employers expect postgraduates to have a range of skills that exceed their subject knowledge. Careers Network offers a range of events and support services that are designed for all students, including postgraduates looking to find their niche in the job market. The Careers Network also have subject specific careers consultants and advisers for each College so you can be assured the information you receive will be relevant to your subject area.

Module Details

  • Essentials of Biology, Mathematics and Statistics (20 credits)
  • Genomics & Next Generation Sequencing (20 credits)
  • Data Analytics & Statistical Machine Learning (20 credits)
  • Metabolomics and advanced (omics) technologies (20 credits)
  • Computational Biology for Complex Systems (20 credits)
  • Interdisciplinary Bioinformatics Group Project (20 credits)
  • Individual Project (60 credits)

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