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利物浦大学 · 药物发现与人工智能理学硕士 硕士

University of Liverpool|MSc Drug Discovery with Artificial Intelligence。项目库类目:生物 · 理科。 下面的学制、学费、入学时间、语言要求与课程设置均来自该校该项目本身,不与其他学校同一名称的项目共用。
QS 2027 · 第 139 位
学位 硕士 · 学制 1年 · 学费 34000英镑/年 · 入学 9月 · 10 门课程
利物浦大学「药物发现与人工智能理学硕士」为硕士项目,学制 1年,学费 34000英镑/年,9月 入学。官网给出的语言成绩要求、学历与先修要求见下方对应板块(原文为准)。本站另收录 6 条该校该方向的真实录取案例,可用来判断背景匹配度。下面按「项目参数 → 申请要求 → 官网原文 → 录取案例」排列,先看能横向对比的中文参数,再看官网原文细节。

📋 项目参数

药物发现与人工智能理学硕士

MSc Drug Discovery with Artificial Intelligence
硕士理科
学制1年
学费34000英镑/年
入学时间9月
语言要求雅思 6.5(W 6 / S 6 / L 6 / R 6)
就业方向互联网/科技公司、医疗/制药、金融、咨询公司、研究机构
岗位分布软件工程师、产品经理、数据分析师、临床研究员、医学专员
📚 课程设置(10 门)
课程10 门
  • BIOS769药物发现的基本原理Fundamentals of drug discovery
  • CHEM521化学人工智能在药物发现中的应用Chemical AI Applications in Drug Discovery
  • BIOS768药物发现研究导论Introduction to Research in Drug discovery
  • BIOS770在生物学中使用人工智能加速药物发现Accelerating Drug discovery using AI in Biology
  • CHEM522高级药物发现Advanced drug Discovery
  • LIFE764实验医学与临床药理学Experimental Medicine and clinical Pharmacology
  • LIFE754蛋白质组学、代谢组学和数据分析Proteomics Metabolomics and Data Analysis
  • LIFE732诊断、治疗和疫苗Diagnostics, Therapeutics and Vaccines
  • LIFE766药物发现与先进疗法前沿Frontiers in Drug Discovery and Advanced Therapeutics
  • CHEM526合作研究项目Collaborative Research Project

🎯 入学要求

官网给出的录取条件原文,含学校统一要求与该项目的附加要求;语言成绩的具体分数线请到项目官网核对。

The qualifications and exam results you'll need to apply for this course.

You'll need to demonstrate competence in the use of English language, unless you’re from a majority English speaking country .

We accept a variety of international language tests and country-specific qualifications .

International applicants who do not meet the minimum required standard of English language can complete one of our Pre-Sessional English courses to achieve the required level.

Do you need to complete a Pre-sessional English course to meet the English language requirements for this course?

The length of Pre-sessional English course you’ll need to take depends on your current level of English language ability.

If you don’t meet our English language requirements, we can use your most recent IELTS score, or the equivalent score in selected other English language tests , to determine the length of Pre-sessional English course you require.

Use the table below to check the course length you're likely to require for your current English language ability and see whether the course is available on campus or online.

If you’ve completed an alternative English language test to IELTS, we may be able to use this to assess your English language ability and determine the Pre-sessional English course length you require.

Please see our guide to Pre-sessional English entry requirements for IELTS 6.5 overall, with no component below 6.0, for further details.

📖 项目简介

​​The integration of artificial intelligence (AI) in drug discovery represents a transformative advancement in biomedical sciences. This field promises to enhance the efficiency, accuracy, and cost-effectiveness of discovering new therapeutic agents. Pursuing this Master's in Drug Discovery with AI offers a unique opportunity to be at the forefront of this exciting convergence of disciplines. The University of Liverpool, renowned for its pioneering research, provides an ideal environment to acquire the skills and knowledge necessary for a successful career in this innovative domain.​

​​The masters in Drug Discovery with AI course aims to provide students with comprehensive knowledge and practical skills in the field of drug discovery and AI. The course will cover various aspects, including medicinal chemistry, pharmacology, molecular biology, bioinformatics and the utility of artificial intelligence, and drug development. This will equip graduates for careers in pharmaceutical research and development, who wish to do this either through direct entry into industry or as a pathway to a PhD. The degree will culminate in a collaborative research project giving students a real taste of the multidisciplinary drug discovery process enabled by significant input from our industrial partners. This masters in Drug Discovery with AI is designed to provide a holistic and practical education that prepares students for a successful career in the dynamic field of drug discovery. You will be taught by two world leading departments, Pharmacology and Therapeutics and the department of Chemistry. Both departments are ranked top 40 in the world and have been recognized with the Queen’s Prize for their sector leading teaching and research. This programme will be taught through multiple delivery modes (lectures, tutorials, workshops, group work, practical work) with active learning being central to its delivery.

​​This programme is designed for students with a degree in a relevant Biology or Chemistry related subject. This includes (but is not restricted to) Pharmacy, Pharmacology, Chemistry, Medicinal Chemistry, Biochemistry, Life Sciences, Natural Sciences, Biomedical Sciences. It aims to develop students skills and knowledge to drive innovation in drug discovery, ultimately contributing to the development of new therapies and improving global health outcomes.

  • To develop students understanding of the roles of medicinal chemistry, pharmacology and AI in drug discovery.
  • Instil in students a sense of enthusiasm for drug discovery and AI, an appreciation of its application in different contexts and to involve them in an intellectually stimulating and satisfying experience of learning and studying.
  • Provide students with a broad and balanced foundation of drug discovery and AI knowledge, computational and practical skills.
  • To develop in students the ability to apply their knowledge and skills to the solution of theoretical and practical problems within drug discovery.
  • To develop in students, a range of transferable skills, of value in pharmaceutical and non-pharmaceutical employment.
  • To provide students with a knowledge and skills base from which they can proceed to further studies in drug discovery and AI or other multi-disciplinary areas within drug development.
  • To generate in students an appreciation of the importance of pharmacology, drug discovery and AI in an industrial, economic, environmental and social context.​
以上为利物浦大学该项目官网项目页原文(英文),本站未做改写或补写。

📊 申请案例数据分析(6 条)

下表为同一专业方向(人工智能)的 6 条录取案例分析,可作为选校档次的参考。样本低于 8 条的维度不出图表 —— 拿 3 条案例画一张「趋势图」是假的。
GPA百分制中位 77.48(6 条)
本科层次普通本科 83% · 211院校 17%
中位数按同制式分别统计(不同 GPA 制式不可合并),样本少于 5 条时只报数量不报中位
北方工业大学 · 信息与计算科学
普通本科GPA 72.97/100
山西农业大学 · 动物医学(小动物医学方向)
普通本科GPA 81.77/100
广州软件学院 · 通信工程
普通本科GPA 75.18/100
青岛理工大学 · 自动化专业
普通本科GPA 77.48/100
东北林业大学 · 电气工程及其自动化
211院校GPA 74.6/100
华南农业大学 · 通信工程
普通本科GPA 81.8/100

🔗 站内归类方向

该项目已归属站内方向「人工智能」,可到该校该方向的筛选视图看同方向的其他项目与录取案例

❓ 常见问题

以下问答的答案全部取自本页已列出的官网数据,不做推测;官网未公布的项不出现在这里。
利物浦大学药物发现与人工智能理学硕士主要学什么?
该项目为硕士 · 生物,官网介绍:​​The integration of artificial intelligence (AI) in drug discovery represents a transformative advancement in biomedical sciences.
利物浦大学药物发现与人工智能理学硕士的学制是多久?
该校官网公布为 1年(全日制)。
利物浦大学药物发现与人工智能理学硕士的学费是多少?
34000英镑/年,为该校官网公布的项目学费。
利物浦大学药物发现与人工智能理学硕士什么时候入学?
该校官网公布 9月 入学。
利物浦大学药物发现与人工智能理学硕士的语言成绩要求是什么?
雅思 6.5(W 6 / S 6 / L 6 / R 6)。
利物浦大学药物发现与人工智能理学硕士的入学要求是什么?
The qualifications and exam results you'll need to apply for this course. You'll need to demonstrate competence in the use of English language, unless you’re from a majority English speaking country .
利物浦大学药物发现与人工智能理学硕士一共开设多少门课程?
课程设置共 10 门。
利物浦大学药物发现与人工智能理学硕士毕业后主要去向有哪些?
互联网/科技公司、医疗/制药、金融、咨询公司、研究机构
学制 / 学费 / 语言要求 / 申请节奏为按国家(地区)通行区间整理的参考值,各校每年均可能调整,最终以院校官网公布为准;本站不提供中介服务。 排名数据:QS 名次来自 QS 官方榜单整理,U.S. News 名次整理自 Ranking Radar 公开数据集(CC-BY-4.0),原始榜单 © U.S. News & World Report。
药物发现与人工智能理学硕士
利物浦大学 · 1年 · 34000英镑/年