School of Biological Sciences Bioinformatics MSc دراسة The University of Edinburgh في

Bioinformatics MSc

بريطانيا

21

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Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data.As an interdisciplinary field of science, bioinformatics studies and processes biological data, combining:computer scienceinformaticsstatistics/mathematicsengineeringThe emphasis is on leveraging aspects of these disciplines to efficiently explore biology.The aim of the Bioinformatics MSc programme is to equip you with a strong background in biology, at the same time training you in the application and development of methods used to interpret the vast amounts of data generated by high-throughput 'omics' technologies, be they proteins or nucleic acids.We recognise that all of our MSc Bioinformatics students come from different backgrounds, and have different interests in biology. This programme in Bioinformatics allows you to take advantage of all the advances in biology, as well as the bioinformatics tools to explore that biology. We aim to provide you with a set of core skills that all bioinformaticians should have. By offering diverse and extensive course options, you can choose the mix of courses you want and determine the specific content of your programme.

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School of Biological Sciences

خيارات الدراسة

دوام كامل (1 عام )

رسوم التسجيــل
£45,410.00 (US$ 58,644) سنوياً
هذه رسوم مؤقتة قيد القبول
تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

The King's Buildings Campus

Grant Institute Kings Buildings,W Mains Rd,

Edinburgh,

EH9 3JW, Scotland, United Kingdom

دوام كامل (1 عام )

رسوم التسجيــل
£45,410.00 (US$ 58,644) سنوياً
هذه رسوم ثابتة
الموعد النهائي للتسجيل

متوقع May 2027

تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

The King's Buildings Campus

Grant Institute Kings Buildings,W Mains Rd,

Edinburgh,

EH9 3JW, Scotland, United Kingdom

شروط القبول

للطلاب الدوليين

A UK 2:1 honours degree, or its international equivalent, in biological sciences. You must have a strong background in molecular biology, biochemistry or related sciences and some experience of computer science and mathematics, especially if your interests include learning about the application of machine learning based tools.

We may also consider your application if you have a background in chemistry, physics, mathematics or engineering.

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