📚 EPQ High-Scoring Topic Guide: Medicine, Engineering, Mathematics & More | EPQ高分选题指南：医学、工程、数学等方向
The Extended Project Qualification (EPQ) is a unique opportunity to explore a topic you are passionate about while developing university-level research skills. Choosing the right topic is the single most important factor in achieving a high grade. This guide focuses on high-scoring directions across medicine, engineering, mathematics and several other disciplines, helping you turn curiosity into a project that impresses examiners.
扩展项目资格（EPQ）是一个独特的机会，既能探索你热爱的主题，又能培养大学水平的研究能力。选择合适的题目是获得高分的最重要因素。本篇指南聚焦医学、工程、数学及其他多个学科的高分方向，帮助你将对知识的好奇转化为令考官印象深刻的项目。
1. Understanding EPQ Marking Criteria | 理解EPQ评分标准
Examiners assess the EPQ against four equally weighted objectives: manage, use resources, develop and realise, and review. A high-scoring project must show clear planning, critical analysis of sources, logical development of an argument, and an honest evaluation of your own process and outcomes. Every topic you consider should allow room for all four assessment areas to shine.
考官根据四项同等权重的目标评估EPQ：管理、运用资源、发展与实现以及回顾。高分项目必须展示清晰的规划、对资料来源的批判性分析、论证的逻辑发展，以及对自身过程和成果的诚实评价。你考虑的每一个选题都应留有空间，让这四个评估领域都能充分展现。
A common mistake is picking a topic that is either too broad (e.g. ‘the history of medicine’) or too narrow that no academic debate exists. The ideal topic is specific enough to deeply explore within 5000 words, yet broad enough to find contrasting viewpoints from multiple scholars.
一个常见错误是选题过宽（例如“医学史”）或过窄，以致没有充分的学术讨论。理想的选题要足够具体，能在五千词内深入探讨，同时又有足够广度，能从业界多位学者的研究中找到不同观点。
2. Core Principles for High-Scoring Topics | 高分选题的核心原则
A strong EPQ topic should be debatable, researchable and personally motivating. Always ask: Is there a genuine controversy or unresolved question? Can I access data, academic journals, or primary sources? Will I stay engaged for months? Topics that align with your future university course also help demonstrate focus in personal statements.
一个有力的EPQ选题应该具有争议性、可研究性并能激发个人动力。始终自问：是否存在真正的争议或尚未解决的问题？我能否获得数据、学术期刊或一手资料？我是否能持续数月保持热情？与未来大学课程相契合的题目还有助于在个人陈述中展示专注力。
Interdisciplinarity is another key to high marks. Blending methods from two fields – for example, using statistical analysis to investigate a public health question – instantly raises the sophistication of your project and helps you stand out.
跨学科性是夺得高分的另一关键。将两个领域的方法结合起来——例如，用统计分析探究公共卫生问题——能立刻提升项目的复杂程度，让你脱颖而出。
3. Medicine & Health Sciences Topic Ideas | 医学与健康科学选题
Medicine-based EPQs perform best when they tackle ethical dilemmas or compare treatment approaches rather than simply summarising a disease. Consider: ‘Should cognitive behavioural therapy replace antidepressants as first-line treatment for mild to moderate depression in adolescents?’ This question invites you to evaluate clinical evidence, cost-effectiveness and patient perspectives.
医学类EPQ在探讨伦理困境或比较治疗方法时表现最佳，而不是简单总结一种疾病。不妨考虑：“认知行为疗法是否应取代抗抑郁药成为青少年轻中度抑郁的一线治疗？”这个问题要求你评估临床证据、成本效益以及患者视角。
Another high-scoring angle involves public health policy: ‘To what extent have sugar taxes been effective in reducing childhood obesity rates? A comparative analysis of Mexico and the UK.’ The topic demands statistical interpretation and a discussion of socioeconomic confounding factors.
另一个高分角度涉及公共卫生政策：“糖税在降低儿童肥胖率方面效果如何？基于墨西哥与英国的比较分析。”这个题目需要解读统计数据，并讨论社会经济混杂因素。
For those interested in biomedical ethics, a tightly focused question such as ‘Should CRISPR gene editing be permitted for the prevention of non-lethal genetic traits?’ enables you to delve into scientific mechanism, regulatory frameworks and philosophical arguments about normalcy.
对于生物医学伦理感兴趣的学生，一个聚焦的问题如“是否应允许用CRISPR基因编辑来预防非致命的遗传特征？”能让你深入探究科学机制、监管框架以及关于“正常”的哲学辩论。
4. Engineering & Technology Topic Ideas | 工程与技术选题
Engineering EPQs shine when they involve a design-and-evaluate cycle or a feasibility study. One powerful approach: ‘Developing a low-cost, solar-powered water purification device for disaster relief: design, prototype and performance testing.’ This demonstrates practical skills alongside theoretical understanding.
工程类EPQ在包含设计-评估循环或可行性研究时格外亮眼。一个有力的方案是：“为灾难救援开发一种低成本、太阳能驱动的净水设备：设计、原型制作与性能测试。”这同时展示了实践技能与理论理解。
If you prefer a research-only project without physical prototyping, opt for comparative technology assessment: ‘Are hydrogen fuel cells a viable replacement for lithium-ion batteries in heavy-duty vehicles? A life-cycle analysis.’ Such questions require scrutiny of energy density, infrastructure readiness and environmental footprint data.
如果你更喜欢无需实体原型的纯研究项目，可以选择比较技术评估：“氢燃料电池是否有望替代重型车辆中的锂离子电池？一项生命周期分析。”这类问题需要深入考察能量密度、基础设施准备程度和环境影响数据。
For software-oriented candidates, a machine learning project with societal relevance often earns top marks, e.g., ‘Designing a convolutional neural network to assist in diagnosing melanoma from smartphone photographs: accuracy, bias and ethical considerations.’ The key is balancing technical implementation with critical reflection on limitations.
对于偏软件方向的考生，具有社会意义的机器学习项目常获得高分，例如：“设计一个卷积神经网络辅助从智能手机照片诊断黑色素瘤：准确性、偏差与伦理考量。”关键在于平衡技术实现与对局限性的批判性反思。
5. Mathematics & Data Science Topic Ideas | 数学与数据科学选题
A purely theoretical mathematics EPQ is rare; the most successful projects apply mathematical modelling to real-world problems. For instance: ‘Modelling the spread of misinformation on social media using adapted epidemiological SIR models.’ You can explore the parallels between virus transmission and information cascades without requiring advanced calculus beyond differential equations.
纯理论数学EPQ较为罕见；最成功的项目将数学建模应用于现实问题。例如：“使用改进的流行病学SIR模型模拟社交媒体上错误信息的传播。”你可以探究病毒传播与信息级联之间的相似性，所需数学工具不超出微分方程范畴。
Statistics-heavy topics are equally impressive when combined with primary data collection. ‘An investigation into the fairness of university admissions tests: does test format advantage particular socioeconomic groups? A statistical analysis using national datasets.’ This tests your hypothesis-testing skills, use of chi-squared tests, and understanding of p-values – all highly valued in STEM and social sciences.
统计学方向的题目在结合一手数据收集时同样令人印象深刻。“大学入学考试公平性调查：考试形式是否对特定社会经济群体有利？基于全国数据集的数据分析。”这将检验你的假设检验技能、卡方检验的使用以及对p值的理解——这些能力在理工和社会科学中都备受推崇。
For those captivated by pure logic, cryptography projects can work well: ‘To what extent can quantum computing threaten current RSA encryption standards? A mathematical exploration of Shor’s algorithm.’ Focus on the underpinning number theory rather than trying to build a quantum computer.
如果你着迷于逻辑本身，密码学项目可以奏效：“量子计算在多大程度上威胁当前的RSA加密标准？对Shor算法的数学探究。”重点应放在底层数论，而非试图建造一台量子计算机。
6. Natural Sciences: Physics, Chemistry & Biology | 自然科学选题
In physics, an experimental investigation with thorough error analysis scores highly: ‘Determining the relationship between magnetic field strength and distance using Hall effect sensors and quantifying systematic uncertainties.’ Even a simple-looking experiment becomes high-level when you discuss propagation of errors and calibration.
在物理学中，带有详尽误差分析的实验研究能获高分：“利用霍尔效应传感器确定磁场强度与距离的关系并量化系统不确定性。”即使表面简单的实验，当你讨论误差传递和校准时也能变得高阶。
Chemistry projects benefit from exploring green chemistry or materials science: ‘Synthesising and comparing the photocatalytic activity of titanium dioxide nanoparticles doped with silver versus copper for organic dye degradation.’ This requires careful synthesis procedures, instrumentation like UV-Vis spectroscopy, and a discussion of real-world wastewater treatment applications.
化学项目从探索绿色化学或材料科学中受益：“合成并比较掺杂银与铜的二氧化钛纳米颗粒在有机染料降解中的光催化活性。”这需要严谨的合成步骤、紫外可见光谱等仪器，并探讨实际废水处理应用。
Biology EPQs can bridge molecular and ecological levels: ‘The impact of microplastic concentration on the respiration rate of freshwater daphnia: a laboratory-based ecotoxicology study.’ Ethical justification for using live organisms, detailed statistical analysis and environmental policy implications form a complete high-scoring narrative.
生物EPQ可连接分子与生态层面：“微塑料浓度对淡水水蚤呼吸速率的影响：基于实验室的生态毒理学研究。”使用活体生物的伦理依据、详细的统计分析以及环境政策影响共同构成完整的高分叙事。
7. Social Sciences & Psychology | 社会科学与心理学选题
Psychology EPQs demand strict ethical consideration and sound methodology. A replicable experiment with human participants, such as ‘The effect of background music tempo on short-term memory recall accuracy: a controlled experiment,’ works well if you fully discus confounding variables like participant mood and musical training.
心理学EPQ要求严格的伦理考量和可靠的方法论。一个可重复的人类参与者实验如“背景音乐速度对短期记忆召回准确性的影响：一项对照实验”，若你能充分讨论参与者情绪和音乐训练等混淆变量，效果会很好。
Avoid overdone topics like ‘the Stroop effect’ without a novel twist. Instead, combine cognition with technology: ‘Does the presence of a smartphone on a desk impair cognitive performance even when turned off? Investigating attentional residue theory.’ This touches on contemporary debates and allows for a creative experimental design.
避免没有新意的陈旧题目如简单的“斯特鲁普效应”。不如将认知与科技结合：“即使关机，桌上有智能手机会否损害认知表现？注意残留理论探究。”这触及了当代争论，并让实验设计更具创意。
In sociology, comparative policy analysis gives you strong analytical depth: ‘How have Nordic and Anglo-Saxon welfare models differently shaped intergenerational poverty? A comparative evaluation.’ Use official statistics, academic reports and possibly qualitative content analysis of political speeches.
在社会学中，比较政策分析带来深刻的分析深度：“北欧与盎格鲁-撒克逊福利模式如何不同地塑造了代际贫困？一项比较评价。”使用官方统计数据、学术报告，并可能对政治演讲进行定性内容分析。
8. Business & Economics Topic Ideas | 商业与经济选题
Economics EPQs thrive on testing economic theory against empirical evidence. For example: ‘Does the behavioural economics concept of loss aversion genuinely predict consumer decision-making in insurance markets? An analysis of UK auto-insurance data.’ This allows you to explore Kahneman and Tversky’s work and apply real transaction data.
经济学EPQ善用实证检验经济理论。例如：“行为经济学中的损失厌恶概念是否真实预测了保险市场的消费者决策？基于英国汽车保险数据的分析。”这使你能够探索卡尼曼和特沃斯基的研究，并运用真实的交易数据。
Business-oriented projects should avoid mere company profiles. Instead, use strategic frameworks: ‘To what extent can the Ansoff Matrix explain the success and failure of diversification strategies in the fast-fashion industry? Case studies of Zara and Boohoo.’ This demonstrates analytical rigour and business acumen.
商业导向的项目应避免纯粹的公司简介。改用战略框架：“安索夫矩阵能在多大程度上解释快时尚行业多元化战略的成功与失败？以Zara和Boohoo为案例研究。”这展示出分析严谨性和商业洞察力。
Data-driven finance topics are excellent for numerate students: ‘Testing the weak-form efficiency of cryptocurrency markets using autocorrelation tests: is technical analysis futile?’ The project leans heavily on statistical software and yields clear, arguable conclusions.
数据驱动的金融话题对数理强的学生很理想：“利用自相关检验测试加密货币市场的弱式有效性：技术分析是否徒劳？”该项目高度依赖统计软件，并能得出清晰、可论证的结论。
9. Humanities & Arts Topic Angles | 人文学科选题角度
History EPQs must avoid pure narrative. Instead, analyse interpretations: ‘To what extent was Churchill’s leadership the decisive factor in the Battle of Britain, as opposed to air defence technology and logistics?’ This invites you to weigh primary sources, historians’ views and counterfactual arguments.
历史EPQ必须避免纯粹的叙述，而要分析历史解释：“丘吉尔的领导在多大程度上是不列颠战役的决定性因素，而非防空科技与后勤？”这邀请你权衡一手资料、历史学家观点和反事实论证。
In English literature, a research-based critical study earns more marks than creative writing unless allowed by the specification. Consider: ‘How do contemporary Young Adult novels reconstruct the Gothic trope of the ‘mad woman’ from Jane Eyre and ‘The Yellow Wallpaper’?’ You can apply feminist and genre theory to modern texts.
英语文学中，基于研究的批评性分析比创意写作得分更高（除非评分规定允许）。考虑：“当代青少年小说如何重构《简·爱》与《黄色墙纸》中‘疯女人’的哥特式比喻？”你可以将女权主义和体裁理论应用于现代文本。
Arts-based projects benefit from a practice-as-research approach, but must be accompanied by an extensive written report: ‘Creating a photographic series on urban isolation: how framing and colour grading influence viewer empathy.’ The written component should ground your artistic choices in scholarly theory.
艺术类项目获益于实践即研究的方法，但必须附有详细的书面报告：“创作关于城市孤独的摄影系列：取景与色彩分级如何影响观者共情。”书面部分应将你的艺术选择建立在学术理论之上。
10. Common Pitfalls That Lower EPQ Grades | 降低EPQ分数的常见误区
One critical error is failing to narrow down a broad topic early on. Starting with ‘the ethics of AI’ leads to a superficial overview, while ‘Should facial recognition technology be prohibited in public spaces? A rights-based assessment’ gives you a sharp analytical lens. Regularly check your question’s scope with your supervisor.
一个关键错误是未能及早收窄宽泛的选题。以“人工智能的伦理”开头只会得到肤浅概述，而“面部识别技术应否在公共场所被禁止？一项基于权利的评估”则给了你锐利的分析视角。定期与导师检查问题的范围。
Poor time management is another major grade-killer, especially in the evaluation phase. Many students leave the written review until the last week, resulting in a superficial reflection. Instead, treat the project log as a real-time diary; record decisions, changes and justifications as they happen.
时间管理不善是另一大扣分项，特别是在评估阶段。许多学生把书面回顾拖到最后一周，导致反思流于表面。应将项目日志视为实时日记；随时记录决策、变更及其理由。
Citation errors and inadequate referencing of sources suggest poor academic rigour. Use Zotero or Mendeley from day one, and ensure you cite primary sources wherever possible. An EPQ that relies solely on secondary summaries cannot reach the top mark bands.
引用错误和资料来源参考不充分表明学术严谨性不足。从第一天起就使用Zotero或Mendeley，并确保尽可能引用一手资料。仅依赖二手摘要的EPQ无法进入高分等级。
11. Turning Personal Interest into a Powerful Research Question | 将个人兴趣转化为强力研究问题
Start by mapping your interests and connecting them to academic disciplines. If you love cooking, consider the food science angle: ‘Investigating the effect of pH on the denaturation kinetics of egg white proteins: implications for culinary texture control.’ Personal passion sustains motivation, but the question must be framed with appropriate academic vocabulary.
从梳理你的兴趣并与学科建立联系开始。如果你热爱烹饪，考虑食品科学角度：“探究pH值对蛋清蛋白变性动力学的影响：对烹饪口感控制的启示。”个人热情能维持动力，但问题必须用恰当的学术语言来构建。
Once you have a draft question, test it with the ‘three-source rule’: can you immediately find three high-quality academic sources that directly address different aspects of your question? If your topic only returns news articles or blog posts, you need to pivot toward a more scholarly angle.
一旦有了问题草案，用“三源规则”检验：你能否立即找到三篇高质量学术来源，直接涉及该问题的不同方面？如果搜索只返回新闻文章或博客，你就需要转向更学术化的角度。
Finally, phrase your question as an open-ended inquiry, not a yes/no. ‘Is plastic pollution harmful?’ is poor; ‘To what extent do current recycling technologies mitigate the ecological impact of microplastics in marine ecosystems?’ invites layered argument and nuanced conclusion.
最后，将问题表述为开放式探究，而非是非题。“塑料污染有害吗？”很糟糕；“当前回收技术在多大程度上减轻了微塑料对海洋生态系统的生态影响？”则能引出多层次论证和细致结论。
12. Final Tips and Recommended Resources | 最终建议与推荐资源
Use platforms like Google Scholar, JSTOR and your school library’s academic databases from the outset. Reference management software such as Zotero (free) will save you hours of manual formatting. For primary data projects, free tools like Google Forms and Jamovi provide survey and statistical analysis capabilities.
从一开始就使用Google Scholar、JSTOR以及学校图书馆的学术数据库。Zotero（免费）等文献管理软件能节省数小时的手工排版时间。对于一手数据项目，Google Forms和Jamovi等免费工具可提供问卷和统计分析功能。
Seek regular feedback but own your decisions. Supervisors are facilitators, not editors. Keep a research diary that captures moments of uncertainty and how you resolved them – this directly feeds into the ‘review’ assessment objective. Most importantly, choose a topic that you genuinely want to understand more deeply, because that intellectual curiosity will carry you through the many hours of work and ultimately produce a truly outstanding project.
定期寻求反馈，但自主决策。导师是协助者，而非编辑。保留研究日记，记录疑惑时刻及其解决方式——这直接服务于“回顾”考评目标。最重要的是，选择一个你真的想更深入理解的题目，因为这种求知欲会支撑你度过漫长的工作时间，最终炼成一个真正卓越的项目。
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