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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.
The one-year programme is a great option if you want to gain a traditional MSc qualification. The 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
Entry requirements
Applicants are normally expected to have at least a UK 2.2 honours degree, or equivalent, in a subject related to life or physical sciences. If your first degree is not in one of the subject areas listed above please contact our admissions team for guidance and advice on how you might become eligible. We may be able to offer you alternative access routes.
International applicants normally need at least a 6.0, with no component below 5.5, in the International Language Testing System (IELTS) test. For general information please see our overview of entry requirements International applicants can find out what qualifications they need by visiting Your Country
For fees and funding options, please visit website to find out more
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.
Core modules
Advanced Bioinformatics
Advanced Practice in Sciences
Clinical Biochemistry and Diagnostic Techniques
Data Analytics
Genomics and Bioinformatics
Life Science Research Project
Programming Skills
Optional modules
Pathobiology of Infectious Diseases
The Pathobiology of Neurological Diseases
At Teesside University we believe that an investment in knowledge still pays the best return. By developing your skills, expertise, experience and net...
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