MSc Bioinformatics (with Advanced Practice)

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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
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Course overview:

As biological sciences have become more data driven, bioinformatics is now central to modern biological research, from genetics, nutrition and epidemiology to ecology, neuroscience and biomedicine.

This programme teaches you how to manage and manipulate large datasets to reveal new insights in biological sciences. You get intensive training in a computer-based approach to biological research. You develop the computational and analytical understanding necessary as a platform for processing biological data. This involves the appreciation of biochemistry and molecular biology, together with IT and specialist skills in computer programming, data analysis, statistics and computational biology for multidisciplinary careers in research.

This course is taught at our National Horizons Centre at the University’s Darlington campus. This £22m purpose-built biosciences research, education and training facility is a focal point for the growing regional biosciences community.

The one-year programme is a great option if you want to gain a traditional MSc e two-year master’s degree with advanced practice enhances your qualification by adding a vocational or research based internship to the one-year master’s programme. A vocational internship is a great way to gain work experience and give your CV a competitive edge. A research internship provides you with the opportunity to develop your analytical, team-working, research and academic skills by working alongside a research team in an academic setting. We guarantee a research internship, but cannot guarantee a vocational internship. We will, however, provide you with practical support and advice on how to find and secure your own vocational internship position should you prefer this type of internship.

How you are assessed:

Modules are assessed by a variety of methods including exams and in-course assessment with some using other approaches such as group work, verbal or poster presentations.

Your Advanced Practice module is assessed by an individual written reflective report (3,000 words) together with a study or workplace log, where appropriate, and through a poster presentation.

Career opportunities:

Our bioinformatics programme equips you with a strong foundation for further PhD research or for prospective employment. There is an increasing demand for bioinformatics skills across the biotechnology, life sciences and pharmaceutical sectors. The ability to manage, analyse, integrate and visualise big data using technologies such as Python and R is also applicable to fields including software development, data analytics and finance.

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Requirements

The requirements may vary based on your selected study options.





















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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
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs