Advanced Bioinformatics
Explore specialist methods, advanced theory, research workflows and technical applications in bioinformatics for postgraduate and research-level learning.
Study Bioinformatics at postgraduate level.
Choose a focused course or combine several courses into a broader learning route. Each course is designed to build understanding progressively.
Bulk RNA-seq Analysis
Move from count matrices and experimental design to differential expression, interpretation and publication-ready figures.
Single-cell RNA-seq
Analyse single-cell transcriptomics from quality control and dimensionality reduction to clustering, annotation and differential expression.
Spatial Transcriptomics
Understand modern spatial transcriptomics technologies, spatial data structures, visualisation and biological interpretation.
Statistical Genomics & GWAS
Learn the statistical foundations and analytical workflow behind genome-wide association studies.
Epigenomics
Explore DNA methylation, chromatin regulation, epigenomic assays and statistical approaches to epigenetic data.
What should you build at this stage?
Your postgraduate route should develop both subject knowledge and the ability to use it independently.
Develop deeper technical understanding of specialist bioinformatics methods and their assumptions.
Understand when techniques are appropriate, what their limitations are and how alternative approaches compare.
Build research-quality computational and analytical workflows that can be understood, checked and reproduced.
Move from textbook exercises towards independent research questions, projects, dissertations and real datasets.
The Bioinformatics landscape.
Use these topics to understand the breadth of the discipline and identify where you may want to specialise next.
Where can Bioinformatics take you?
Structured pathways connect individual courses into larger academic, technical and career goals.
Bioinformatics Analyst
Combine biology, Linux, R or Python and omics workflows for modern computational biology.
7 structured stages · 5–7 monthsComputational Biologist
Progress from biological computing foundations to genomic, transcriptomic and high-dimensional research workflows.
7 structured stages · 7–10 monthsNeed help with postgraduate bioinformatics?
Get expert support for difficult concepts, exam preparation, coursework guidance, coding, projects and research-related learning.