MSc Bioinformatics

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Bioinformatics is a major growth area and qualified bioinformaticians are in high demand. The MSc in Bioinformatics is a one-year full-time course for biological sciences graduates which will equip you with the theoretical and practical skills in data analysis and computing for a career in this multidisciplinary field.

The course covers working in a Linux environment, programming in Python, “Big Data”, learning about Bioinformatics algorithms and cutting edge topics in genomics, transcriptomics and protein bioinformatics.

During the course you will work on a Linux laptop on which you install and develop your own Bioinformatics toolkit. This laptop is provided as a loan by the University of Leicester, but ownership of the laptop will be transferred free of charge to you on successful completion of the course.

Our MSc in Bioinformatics course culminates in your independent research project where you will apply the skills you have acquired in the taught phase on one of our many exciting research topics with internal and external contributions on offer.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Gene and genome analysis
  • Proteins
  • Bioinformatics Programming and Advanced Topics in Bioinformatics
  • Steered Research Project
  • Algorithms for Bioinformatics
  • Big Data and Predictive Analytics
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs