MSc in Cancer Genomics and Data Science
offered by QMUL

Public University
5 Campuses
Estd. 1887

MSc in Cancer Genomics and Data Science
at
QMUL
Overview

Deep dive into tumor genomics landscapes, including mutations, copy number variations, and gene expression patterns

Duration	24 months
Start from	Start Now
Total fee	₹30.33 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	PG Degree

MSc in Cancer Genomics and Data Science
at
QMUL
Highlights

Earn a degree from Queen Mary University of London
Learn from industry experts
Scholarship facility available

MSc in Cancer Genomics and Data Science
at
QMUL
Course details

Skills you will learn

R Python Data Science Big Data

Who should do this course?

Biomedical Scientists
Bioinformaticians
Medical Doctors (MDs) and Oncologists
Genetic Counselors

What are the course deliverables?

Understand the statistical and computational tools used in analyzing large-scale genomic and clinical datasets
Design and conduct research studies involving genomic and data science approaches to cancer research
Analyze and interpret complex genomic datasets using advanced bioinformatic tools and pipelines
Develop predictive models and visualizations to identify tumor subtypes, prognostic markers, and potential therapeutic targets
Communicate scientific findings effectively to both scientific and non-scientific audiences

More about this course

Biomedical science is increasingly data driven, as new bioanalytical techniques deliver ever more data about DNA, RNA, proteins, metabolites and the interactions between them in the whole tissue and single-cell levels
A wide range of state-of-the-art techniques in the field of cancer genomics and data science for example modelling, data integration, machine learning and AI is required to analyse multi-layer large scale cancer datasets and derive meaningful interpretable results
This programme is designed to fill the gap between research and employment demands and student training, offering up-to-date modules focusing on “big-data” analyses and enabling these through use of high-performance computing, together with cutting edge research projects and practical training using real world cohort data

MSc in Cancer Genomics and Data Science
at
QMUL
Curriculum

R and Python Programming in Biomedical Research (DL)

Omics Data Analytics and Practical Training (DL)

Computational Genomics, Transcriptomics and Evolution (DL)

Mathematical Modeling and Application (DL)

Single Cell Analytics (DL)

Machine Learning/AI and Application to Biomedical Research (DL)

Cancer Genomics and Data Science Research Project (DL)

Genomic Approaches to Cancer

MSc in Cancer Genomics and Data Science
at
QMUL
Faculty details

Dr Benjamin Werner

After I received my Diploma in Physics from the University of Leipzig in 2010 (Germany), I started my PhD (2010-2013) with Arne Traulsen in the Evolutionary Theory Group at the Max Planck Institute for Evolutionary Biology, where I mostly worked on mathematical models of cell population dynamics. I then continued for a brief Post Doc with Arne (April 2013 – January 2015) to work on the dynamics of haematopoietic stem cell and telomere shortening during ageing.

Dr Jun Wang

received my first degree in biological engineering at Shanghai Jiao Tong University. This was followed by an MSc degree of quantitative genetics and genome analysis, and a PhD in evolutionary genetics studying comparative genomics and evolution of noncoding sequences in Drosophila, both at the University of Edinburgh