Master of Science in Bioinformatics

University of Birmingham

UK,England

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12 Months

Duration

CAD 24,480/year

Tuition Fee

CAD 0 FREE

Application Fee

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UK, England

Type: University

Location Type: Urban

Founded: 1900

Total Students: 38,000 +

Int. Students: 5,000 +

Campus Detail

Main Campus Address

Edgbaston Birmingham B15 2TT United Kingdom

Master of Science in Bioinformatics

Program Overview

Designed to prepare you to interact with the world’s most advanced biological and clinical datasets - this programme will prepare you for careers, or further graduate work, in the omics-enabled biosciences.

The future of biology is bioinformatics – computational analysis procedures that leverage state-of-the-art statistics and machine learning to gain insight into systems of exquisite complexity. We have entered an era of unprecedented expansion in the biological sciences, and our data now grows exponentially faster than Moore’s law.

The biological sciences have been transformed by the advent of omics. Enabled by revolutionary advances in molecular sequencing and mass spectrometry, it is now possible to sequence a genome in six hours, simultaneously assess the expression level of every gene in a genome, quantify the abundance of proteins and metabolites, and determine the epigenetic and regulatory landscape of individual cells. Hypotheses are generated through the integrative analysis of enormous datasets, and tested in high-throughput with third-generation genome-engineering technologies, including CRISPR.

This course is composed of five taught modules, one group project, and one independent project. The taught modules provide you with foundational knowledge and skills in statistics, computer programming, and molecular biology, and then exploit this skillset to help you to understand and participate in the ongoing revolution in biological data science.

The course begins with a fast-paced introduction to essential capabilities. Through individualised and student-centered teaching, as well as heterogeneous group work, it will prepare wet-bench biologists and clinicians interested in data analysis, as well as statisticians or computer scientists wishing to work in biology for studies in modern bioinformatics.