This MSc program integrates data science, artificial intelligence, and mathematical modelling to address key challenges in cancer research. You will gain a deep understanding of both computational techniques and cancer biology, with opportunities to specialize in areas like AI in oncology, radiation therapy, or computational pathology. The program is delivered within a highly research-intensive environment at UCL, fostering collaboration across disciplines and with partner hospitals, and providing access to state-of-the-art facilities. This program is ideal for students looking to contribute to the computational revolution in cancer research, from understanding tumor growth to developing AI-driven diagnostic and treatment tools.
The MSc Computational Cancer program offers a blend of core and optional modules, allowing you to tailor your studies to specific interests within computational cancer research.
Graduates of the MSc Computational Cancer program are well-prepared for a variety of roles in academia, healthcare, and the technology sector. The program equips you with in-demand skills for the rapidly evolving field of computational oncology.
Specific subject knowledge in cancer biology may be beneficial but not always essential, as the program provides a strong foundation in both computational and biological aspects.
Tuition fees are subject to annual review. Prospective students are advised to check the official UCL fee schedules for exact figures.
You need a second-class Bachelor's degree from a UK university or an overseas equivalent in a relevant subject like computer science, engineering, mathematics, physics, or a quantitative life science.
International students generally need an IELTS (Academic) score of 6.5 overall, with a minimum of 6.0 in each component.
International students apply through the central UCL application portal. You will need to submit documents such as transcripts, degree certificates, English language test scores, and a personal statement.
Application deadlines vary but are often around January-March for a September intake. Early application is strongly encouraged.
Tuition fees are subject to annual review. Prospective international students should refer to the official UCL fee schedules for the most up-to-date figures.
Graduates are prepared for roles such as Computational Biologist, Data Scientist in Cancer Research, AI Specialist in Oncology, and Bioinformatics Scientist, among others.