Cancer Genomics and Data Science

Biomedical science is increasingly data driven and a wide range of state-of-the-art techniques in cancer genomics and data science is required to analyse multi-layer large scale cancer datasets and derive meaningful interpretable results. TheCancer Genomics and Data Science program is offered at Queen Mary University of London.

However, there is a serious shortage of well-trained people who have the relevant skillset and hands-on experience in real world biomedical and cancer data.

Cancer Genomics and Data Science program is offered at Queen Mary University of London isdesigned and delivered by world-class experts in genomics and data science, who actively develop and apply computational tools to answer research questions

Career paths

You’ll leave this program with competence in state-of-the-art analytic workflows and hands-on experience of a wide range of real-life cancer and medical data, so that you will be ready to meet research and industry needs after graduation.There is high demand for well-trained bioinformaticians and computational biologists to manage, analyse, integrate and visualise “big data”, both in academia and industry. Bioinformatics and data science skills are highly transferable, allowing skilled individuals to move to other sectors, such as data analytics, software development and quantitative finance.We anticipate that graduates from this program are likely to move into roles such as:

• Bioinformatician

• Data analyst

• Computational biologist

• Researcher

In both academia and industry, including large pharmaceutical companies, small and medium-sized enterprises, and start-ups.

Courses include:

• R and Python Programming in BiomedicalResearch

• Omics Data Analytics and Practical Training

• Computational Genomics, Transcriptomicsand Evolution

• Mathematical Modeling and Application

• Single Cell Analytics

• Machine Learning/Al and Application toBiomedical Research

• Cancer Genomics and Data Science ResearchProject

• Genomic Approaches to Cancer