Taught course

Bioinformatics

Institution
University of Birmingham · School of Biosciences
Qualifications
MSc

Entry requirements

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

Months of entry

September

Course content

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.

Biology is now driven by data.

Fees and funding

UK students
UK: £10,170 full-time; £5,085 part-time
International students
International: £26,640 full-time; £13,320 part-time
AI and Data Science Conversion Masters Scholarships
We are offering 120 awards of £10,000 to upskill UK students from non-STEM and far-STEM degrees to progress into the AI and Data Science workforce. 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. This scholarship is open to students with a 'home' fee status only.
The final deadline for applications is Monday 31 July 2023.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details