Program MSc Data Science for Biology University of Edinburgh The University of Edinburgh

Tentang jurusan ini

Tentang jurusan ini
- Ikhtisar
- Departemen
Pilihan kuliah
Persyaratan masuk
- Internasional

Apa yang akan saya pelajari?

Biological science is being transformed by a range of high-throughput technologies that generate vast amounts of data. These technologies include high-throughput genomic sequencing, imaging, screening and proteomics.Skills that equip scientists and researchers with the expertise to extract biological meaning from this data are therefore in high demand.This programme uses concepts from data science to train students in a generic set of skills that can be adapted to solve problems in a flexible way across different types of data. The aim is to complement and extend existing approaches, especially those from bioinformatics, with data science, to build highly adaptable skill sets for modern biological research.On this programme, you will be deeply focused on applying data science concepts within the domain of biological sciences.

Saya termasuk departemen apa?

University of Edinburgh

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah

£45.410,00 (Rp 918.949.429) per tahun

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Tanggal mulai

September 2027

Tempat

The King's Buildings Campus

Grant Institute Kings Buildings,W Mains Rd,

Edinburgh,

EH9 3JW, Scotland, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

A UK 2:1 honours degree, or its international equivalent, in an area of biological sciences. You must have a strong background in molecular biology, biochemistry or related sciences and some experience of computer science, including programming (Python, Perl, C/C++, Java or R.), and statistics. This programme is aimed primarily at biological science graduates.

We may also consider your application if you have a background in physics, computing, mathematics or engineering and some experience of biological sciences. Your application must show that you are keen to learn data science from a biological perspective.

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