Program MRes Cancer Biology (Cancer Informatics) Department of Surgery and Cancer Imperial College London

MRes Cancer Biology (Cancer Informatics)

Inggris

4

1

Apa yang akan saya pelajari?

Receive the broad training required to prepare for a research career in the fight against cancer on this Master's course.You’ll receive a crash course in coding, transforming you from a wet lab scientist to a proficient informatician. You'll examine cutting-edge developments in the field, including the use of AI, and experience some of the most technologically advanced approaches currently in use.During your studies, you'll analyse the cellular and molecular basis of cancer biology and be introduced to the clinical and pathological aspects of carcinogenesis.A series of workshops will help you develop key transferable skills for a research career, such as the oral presentation of scientific data and grant writing.You'll also gain insights into the excellent project opportunities at Imperial and partner institutions including the Crick Institute and Institute of Cancer Research.Immerse yourself in a multidisciplinary research environment on a 10-month focused research project in world leading labs.Cancer Informatics (this stream) focuses on computational and artificial intelligence techniques, ethics, and communicating science to expert and lay audiences.

Saya termasuk departemen apa?

Department of Surgery and Cancer

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah
£47.300,00 (Rp 957.196.829) per tahun
Ini adalah biaya tetap
Batas akhir pendaftaran

Direncanakan May 2027

Tanggal mulai

September 2026

Tempat

Hammersmith Hospital Campus

The Commonwealth Building, The Hammersmith Hospital, Du Cane Road,

London,

Greater London,

W12 0NN, Southern England, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

2:1 in an appropriate subject.

Non-academic requirement: You must have relevant lab experience, for example an undergraduate degree with a wet-lab project and dissertation. Applicants who demonstrate previous research experience, related to their undergraduate degree or work experience, are preferred.

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