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剑桥大学 · 物理科学学院

MPhil in Data Intensive Science

数据密集科学中的MPhil

Postgraduate taught · Master of Philosophy (MPhil)

PROGRAMME OVERVIEW

项目介绍

The course responds to the growing: demand for highly trained research scientists to design and implement data analysis pipelines for the increasingly large and complex data sets produced by the next generation of scientific experiments; societal demand for data science and data analysis skills in the industry, especially when applied in strategic domains (science, health) and economic areas (finance, e-commerce); need to train postgraduate students with a deep understanding of data science techniques and algorithm building for modern computer architectures and utilising industry best practices for software development; importance of open science in research, specifically reproducibility of scientific results and the creation of public data analytic codes.

官网原文摘录The course responds to the growing: demand for highly trained research scientists to design and implement data analysis pipelines for the increasingly large and complex data sets produced by the next generation of scientific experiments; societal demand for data science and data analysis skills in the industry, especially when applied in strategic domains (science, health) and economic areas (finance, e-commerce); need to train postgraduate students with a deep understanding of data science techniques and algorithm building for modern computer architectures and utilising industry best practices for software development; importance of open science in research, specifically reproducibility of scientific results and the creation of public data analytic codes.

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STUDENT CASES

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官方核对来源 ↗ · 核对日期:2026-09-17

官方核对来源 ↗ · 核对日期:2026-09-17 · 费用为 Cambridge 官方费用表中的 University Composition Fee,不含学院费与生活费。

学费、课程和申请状态可能调整,正式申请前请以学校官网及录取通知为准。