Program Statistics Research MPhil/PhD Faculty of Natural, Mathematical and Engineering Sciences King's College London, University of London

Statistics Research MPhil/PhD

Inggris

2

Apa yang akan saya pelajari?

Our internationally renowned department fosters an innovative and intimate research environment. We welcome PhD students from around the world working on a broad range of topics. This PhD sits within the Statistics Group at King’s, a growing area of research in the Department in response to the increasing importance of data in our world. The group has research strengths in the design and analysis of experiments, time series, Markov chain Monte Carlo and sequential Monte Carlo methods. We have a wide range of research opportunities, from Design of experiments, Functional Analysis, and Computational Methods to Time Series Analysis, Bayesian and Nonparametric Methods.

Saya termasuk departemen apa?

Faculty of Natural, Mathematical and Engineering Sciences

Pilihan kuliah

Purna Waktu (3 tahun)

Biaya kuliah
£28.000,00 (Rp 566.628.144) per tahun
Ini adalah biaya sementara yang belum ditetapkan
Batas akhir pendaftaran

Direncanakan June 2027

Tanggal mulai

Oktober 2026

Tempat

King's College London, University of London

Strand Campus,

London,

Greater London,

WC2R 2LS, Southern England, United Kingdom

Purna Waktu (3 tahun)

Biaya kuliah
£28.000,00 (Rp 566.628.144) per tahun
Ini adalah biaya sementara yang belum ditetapkan
Batas akhir pendaftaran

01/10/2026

Tanggal mulai

Februari 2027

Tempat

King's College London, University of London

Strand Campus,

London,

Greater London,

WC2R 2LS, Southern England, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

The official minimum entry requirements are a Bachelors degree with 2:1 honours (or equivalent). In practice, applicants will normally be expected to have an MSc, MMath, MSci or equivalent degree with merit/2:1 honours (or equivalent) and high grades in modules relevant to the research area. Applications from women, disabled and minority candidates are encouraged, as are applications from individuals with non-standard backgrounds (e.g., those from industry or returning from a career break).

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