Program PhD in Biostatistics Department of Public Health and Primary Care University of Cambridge

Tentang jurusan ini

Tentang jurusan ini
- Ikhtisar
- Departemen
Pilihan kuliah
Persyaratan masuk
- Internasional

Apa yang akan saya pelajari?

The MRC Biostatistics Unit is an internationally recognised research department of the University of Cambridge specialising in statistical modelling with application to medical, biological or public health sciences. Our PhD students are registered with the University of Cambridge. Students belong to one of the University's Colleges and are trained at our Unit at the University Forvie Site on the Cambridge Biomedical Campus at Addenbrooke's Hospital. We maintain strong links with the University of Cambridge Statistical Laboratory, Alan Turing Institute and other mathematical departments (who are based in the Centre for Mathematical Sciences on the West Cambridge site).

Saya termasuk departemen apa?

Department of Public Health and Primary Care

Pilihan kuliah

Purna Waktu (3 tahun)

Biaya kuliah

£41.304,00 (Rp 835.857.459) per tahun

Ini adalah biaya sementara yang belum ditetapkan

Tanggal mulai

Oktober 2027

Tempat

University of Cambridge

The Old Schools,

Trinity Lane,

Cambridge,

Cambridgeshire,

CB2 1TN, Southern England, United Kingdom

Purna Waktu (3 tahun)

Biaya kuliah

£41.304,00 (Rp 835.857.459) per tahun

Ini adalah biaya sementara yang belum ditetapkan

Batas akhir pendaftaran

01/10/2026

Tanggal mulai

Januari 2027

Tempat

University of Cambridge

The Old Schools,

Trinity Lane,

Cambridge,

Cambridgeshire,

CB2 1TN, Southern England, United Kingdom

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Persyaratan masuk

Untuk mahasiswa internasional

Applicants for this course should have achieved a High II.i Honours Degree. If your degree is not from the UK, please check International Qualifications to find the equivalent in your country. You must have or expect to get a first or high II.i honours degree (or the international equivalent) in mathematics, statistics or a related discipline. A master's degree is desirable. You will be expected to have significant knowledge of both practical and theoretical mathematics and /or statistics via taught courses at undergraduate level or equivalent.

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