Master in Cancer Genomics and Data Science MSc

Queen Mary University of London, with roots dating to 1785 and a current student body of about 32,000, is a major London-based university that blends historic traditions with modern research and teaching. Located in one of the world’s most cosmopolitan cities, Queen Mary hosts approximately 13,120 international students and offers an extensive portfolio of 703 programs across humanities, law, medicine, engineering and the sciences. Its central London setting provides unrivalled cultural, professional and networking opportunities.

The university is known for strong professional programs, research impact and industry links, offering students access to clinical placements, legal clinics, laboratories and entrepreneurial support. Small-group teaching and diverse seminar options complement large lectures, while dedicated career services, internships and mentorship programs help students prepare for competitive job markets. Research-active faculties support postgraduate study and collaborative projects with global partners.

Life at Queen Mary is shaped by London’s vibrant student scene, from arts and dining to industry events and volunteering. Comprehensive international student support, language assistance and accommodation services ease the transition for newcomers. Prospective international applicants should check program-specific entry requirements, scholarship opportunities and early application deadlines to make the most of study and professional pathways in a dynamic global city.

The Master in Cancer Genomics and Data Science MSc is a one-year program that combines cancer genomics and data science. This program is offered by Queen Mary University of London and is designed for students who want to learn about the latest advances in cancer genomics and data analysis. The program is taught in English and helps students develop a strong foundation in programming, data analysis, and genomics.

The curriculum includes subjects like R and Python Programming, Omics Data Analytics, and Computational Genomics. Students also learn about Mathematical Modeling, Machine Learning, and Single Cell Analytics. The program includes a research project, which gives students hands-on experience in applying their knowledge to real-world problems.

Graduates of this program can pursue careers as Bioinformaticians, Cancer Genomics Researchers, Data Analysts, or Computational Biologists. They can work in research institutions, hospitals, or biotech companies, helping to develop new cancer treatments and improve our understanding of cancer biology. With this degree, students can contribute to the development of personalized medicine and precision oncology.