Data Science & Digital Infrastructure数据科学与数字基础设施 (MSc)
Turn data into insight and build the infrastructure that makes it possible — analytics, data engineering, and large-scale digital systems.将数据化为洞见，并构建使之成为可能的基础设施——分析、数据工程与大规模数字系统。
From data to decisions.从数据到决策。
Modern institutions run on data — but value comes only from the discipline of analysis and the infrastructure that delivers it at scale.现代机构运转于数据之上——但价值只来自分析的功力，以及大规模交付数据的基础设施。
This programme pairs data science with the engineering of the platforms, pipelines and infrastructure behind it.本课程将数据科学，与其背后平台、管道与基础设施的工程能力结合起来。
For those who turn data into value.为把数据化为价值的人而设。
Graduates in computing, mathematics, the sciences or quantitative fields, and analysts and engineers moving into data roles.计算机、数学、理工或定量领域的毕业生，以及转向数据岗位的分析师与工程师。
What you'll be able to do.毕业时你将能够……
- Understand statistical and machine-learning methods for analysis理解用于分析的统计与机器学习方法
- Understand the architecture of data platforms and digital infrastructure理解数据平台与数字基础设施的架构
- Analyse, model and visualise complex data分析、建模并可视化复杂数据
- Design and operate data pipelines and scalable infrastructure设计并运行数据管道与可扩展基础设施
- Communicate insight to decision-makers向决策者传达洞见
- Manage data responsibly, ethically and securely负责任、合乎伦理且安全地管理数据
180 credits across three terms.三学期 · 180 学分。
Analysis, data engineering and a substantial applied project.分析、数据工程，以及一个分量十足的应用项目。
A shared Future Citizen Core seminar runs through the year, alongside the modules above.贯穿全年的“未来公民核心”研讨，与上述模块并行。
Learn by doing.在实践中学习。
Lectures, hands-on labs, project work and practitioner-led sessions. Assessment is by analytical assignments, engineering projects, a technical report and the final capstone.讲授、动手实验、项目实战与实务嘉宾讲授。评估以分析作业、工程项目、技术报告与毕业项目为主。
Who can apply.申请条件。
A good honours degree (UK 2:1 or equivalent) in computing, mathematics, the sciences or a quantitative discipline, with programming experience. English equivalent to IELTS 6.5.计算机、数学、理工或定量学科的良好荣誉学位(UK 2:1 或同等)，具备编程经验。英语相当于 IELTS 6.5。
Where it leads.毕业去向。
Data science and analytics, data and platform engineering, MLOps, and data-leadership roles across sectors.数据科学与分析、数据与平台工程、MLOps，以及各行业的数据领导岗位。
Progression to the faculty's Professional Doctorate (DProf) or PhD.可衔接本院专业博士（DProf）或哲学博士（PhD）。
Connect this programme with admissions guidance.将本课程与招生指引连接起来。
Use admissions guidance to review application evidence, entry requirements and fees, or contact the University to discuss programme fit.你可以通过招生指引查看申请材料、入学要求与学费，或联系大学讨论课程契合度。