Artificial Intelligence人工智能 (MSc)
Build, evaluate and deploy modern AI systems responsibly — from machine-learning foundations to large-scale, real-world applications.负责任地构建、评估并部署现代人工智能系统——从机器学习基础到大规模的真实世界应用。
Engineer intelligent systems.构建智能系统。
Artificial intelligence is reshaping how decisions are made, work is done and services are delivered — yet building it well demands rigour, judgement and an understanding of consequences.人工智能正在重塑决策、工作与服务的方式——而要把它做好，需要严谨、判断，以及对后果的理解。
This programme combines strong machine-learning foundations with hands-on engineering and a clear-eyed view of AI's limits, risks and ethics.本课程将扎实的机器学习基础，与动手工程能力，以及对 AI 的局限、风险与伦理的清醒认识结合起来。
For builders of intelligent systems.为智能系统的构建者而设。
Graduates in computing, engineering, mathematics or the sciences — and practitioners moving into machine-learning and AI roles.计算机、工程、数学或理工科背景的毕业生，以及转向机器学习与 AI 岗位的从业者。
What you'll be able to do.毕业时你将能够……
- Understand the foundations of machine learning, deep learning and modern AI理解机器学习、深度学习与现代 AI 的基础
- Appreciate the limits, risks, safety and ethics of AI systems认识 AI 系统的局限、风险、安全与伦理
- Design, train and evaluate models on real data在真实数据上设计、训练并评估模型
- Build and deploy AI systems that are robust and maintainable构建并部署稳健、可维护的 AI 系统
- Communicate AI capabilities and limits to non-technical stakeholders向非技术相关方说明 AI 的能力与局限
- Apply AI responsibly within institutional and legal constraints在机构与法律约束下负责任地应用 AI
180 credits across three terms.三学期 · 180 学分。
Foundations, applied systems and a substantial project — with safety and ethics throughout.基础、应用系统与一个分量十足的项目——安全与伦理贯穿其中。
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 largely by coursework — model-building assignments, system 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。评估以课程作业为主——建模作业、系统项目、技术报告与毕业项目。
Who can apply.申请条件。
A good honours degree (UK 2:1 or equivalent) in computing, engineering, mathematics or a quantitative discipline, with programming experience. English equivalent to IELTS 6.5.计算机、工程、数学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。
Machine-learning and AI engineering, data science, research, and AI roles across technology, finance, healthcare, government and beyond.机器学习与 AI 工程、数据科学、研究，以及科技、金融、医疗、政府等领域的 AI 岗位。
Progression to the faculty's Professional Doctorate in Applied AI (DProf) or PhD.可衔接本院应用人工智能专业博士（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。