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Students
Tuition Fee
GBP 28,900
Per year
Start Date
Medium of studying
Fully Online
Duration
24 months
Program Facts
Program Details
Degree
Masters
Major
Oncology | Biomedical Sciences
Area of study
Health
Education type
Fully Online
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 28,900
Intakes
Program start dateApplication deadline
2023-09-192023-08-01
2024-01-092023-12-01
2024-09-01-
About Program

Program Overview


The Cancer Genomics and Data Science Online MSc is a part-time, distance-learning program designed for professionals seeking expertise in applying genomics and data science to cancer research and clinical practice. The program equips graduates with the skills to analyze large-scale cancer datasets, interpret complex genomic data, and develop targeted therapeutic interventions. Graduates can pursue careers in academia, research institutions, pharmaceutical companies, and biotechnology startups. The program is offered in collaboration with the Barts Cancer Institute, providing access to world-renowned expertise and research facilities.

Program Outline


Cancer Genomics and Data Science Online MSc


Degree Overview:

The Cancer Genomics and Data Science Online MSc is a part-time, distance-learning program designed for professionals with a background in biomedical sciences, data science, or related fields who are interested in developing expertise in the application of genomics and data science to cancer research and clinical practice. The program aims to equip graduates with the skills and knowledge required to analyze multi-layer large scale cancer datasets, interpret complex genomic data, and apply data science techniques to identify novel cancer biomarkers and develop targeted therapeutic interventions.


Outline:

The program consists of eight compulsory modules, a research project, and three optional modules. The compulsory modules cover fundamental principles of cancer genomics, data analysis and interpretation, machine learning, and bioinformatics. The research project allows students to apply their learning to a specific research question in the field of cancer genomics. The optional modules provide students with the opportunity to specialize in specific areas of interest, such as single cell analytics, mathematical modeling, and cancer immunotherapy.


Assessment:

The program utilizes a variety of assessment methods, including short and long answer coursework, multiple choice questions, presentations, and research dissertations. Assessment criteria are based on the depth of knowledge demonstrated, the ability to apply concepts and techniques, the critical thinking skills employed, and the effective communication of findings.


Teaching:

The program is delivered through a combination of online lectures, practical sessions, and interactive discussions. The lectures are delivered by expert academics and researchers in the field of cancer genomics and data science. The practical sessions provide students with hands-on experience in applying data analysis and interpretation techniques to real-world cancer datasets. The interactive discussions allow students to engage with the learning materials, ask questions, and discuss their research interests with their peers and instructors.


Careers:

Graduates of the program can pursue careers in a variety of sectors, including academia, research institutions, pharmaceutical companies, and biotechnology startups. Potential career paths include bioinformatician, data analyst, computational biologist, and researcher. The program also equips graduates with the skills and knowledge required to pursue further research in the field of cancer genomics and data science.


Other:

The program is offered in collaboration with the Barts Cancer Institute, one of the leading cancer research centers in the UK. This collaboration provides students with access to world-renowned expertise and research facilities.


Home: £12,650 Overseas: £28,900 EU/EEA/Swiss studentsThe course fee is charged per annum for 2 years.

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Admission Requirements

Entry requirements


Entry Requirements:

A 2:1 or above at undergraduate level in any subject, provided the degree contains satisfactory study of Mathematics and Statistics. Subjects likely to contain sufficient quantitative elements include Genetics, Genomics, Bioinformatics, Mathematics, Statistics, Engineering, and Computer Science. Applications from those with less quantitatively oriented Natural Sciences degrees, such as Biology and Medicine, are welcome if they have focused on the more quantitative elements of those degrees. Other routes Applicants with a 2:2 degrees with relevant content and at least one year of relevant experience, for instance work in industry, analytics, diagnostic labs, scientific research etc, may be considered on an individual basis. English language entry requirements for programmes within the Barts Cancer Institute

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