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伦敦玛丽女王大学 · 数据科学与人工智能理学硕士(可跨申) 硕士

Queen Mary University of London|MSc Data Science and Artificial Intelligence (Conversion)。项目库类目:数据科学 · 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 103 位
学位 硕士 · 学制 1年 · 学费 34650英镑/年 · 入学 9月 · 9 门课程

📖 项目简介

Artificial Intelligence (AI) is rapidly changing the way we live, work and learn. If you are looking to pursue a career as an AI and data Specialist, this programme will give you a strong understanding of programming and statistics and how to apply them using specialist AI techniques. The MSc has been developed with the support of the Institute of Coding. This programme will enable you to: Learn to devise new data-driven AI solutions to automate and optimise business processes and to support, augment and enhance human decision-making. Work with the most up-to-date technologies - each topic is backed up by our world-leading research centres and groups. Learn the latest developments in data science and AI by world-renowned academics and how to apply them in game development. Engage with our industry partners through regular networking events and guest speakers. The MSc Data Science and Artificial Intellience (Conversion) is currently availabl efor one-year full-time study, commencing in September 2020 or January 2021.

以上内容整理自公开资料(prospects.ac.uk),仅供参考;伦敦玛丽女王大学该项目的具体要求以项目官网为准。

📋 项目参数

数据科学与人工智能理学硕士(可跨申)

MSc Data Science and Artificial Intelligence (Conversion)
硕士理科
学制1年
学费34650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) · 托福 92(W 21 / S 21 / L 18 / R 19) · PTE 71(W 65 / S 65 / L 65 / R 65)
就业方向咨询公司、互联网科技公司、保险公司、电商平台
岗位分布数据分析师、数据工程师、商业智能分析师、数据产品经理、量化分析师
📚 课程设置(9 门)
课程9 门
  • 神经网络与深度学习Neural Networks and Deep Learning
  • 数据科学与人工智能的风险与决策Risk and Decision-Making for Data Science and AI
  • 机器学习原理Principles of Machine Learning
  • 人工智能与数据科学程序设计Programming for Artificial Intelligence and Data Science
  • 人工智能与数据科学统计Statistics for Artificial Intelligence and Data Science
  • 高级数字信息处理与决策中的伦理、法规与法律Ethics, Regulation and Law in Advanced Digital Information Processing and Decision Making
  • 信息检索Information Retrieval
  • 项目Project
  • 数据挖掘Data Mining

✨ 项目特色

该项目官网「Unique Program Features」原文,说的是这个项目自身的特点(学制长短、资助、实践安排、认证等),不是学校层面的通用介绍。

Teaching for this programme starts on Monday 7th September. This early start is mandatory to provide you with two weeks of intensive pre-sessional teaching, equipping you with the essential technical skills required to successfully complete the course.

This degree programme aims to help learners without strong backgrounds in programming or statistics to acquire a level of skill in these areas, before learning to apply them to specialist AI techniques.

During the programme, you’ll discover and devise data-driven AI solutions that can be applied to support and enhance organisational decision-making. You’ll also explore the essential ethical and legal issues that need to be considered when developing AI technology.

You’ll attend campus for two weeks of intensive teaching at the beginning of the programme. These two intensive preparatory modules will allow you to acquire the pre-requisite skillset in programming and statistics, before diving into more specialised modules.

Before starting the programme, you can complete a free online short course, Get Ready for a Masters in Data Science and AI , developed by a collaborative partnership of leading higher education institutions, including Queen Mary. The short course is designed to help you identify whether you’re ready for masters study, improve your data science skills, and get to grips with the basics of Python.

  • Two preparatory modules.
  • Six compulsory modules.
  • Compulsory final year 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 English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements.

The English Language requirements for entry to postgraduate taught and research programmes in the School of Electronic Engineering and Computer Science falls within the following English band:

Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking

We accept a range of English tests and qualifications categorised in our English bands for you to demonstrate your level of English Language proficiency. See all accepted English tests that we deem equivalent to these IELTS scores.

📊 申请案例数据分析(8 条)

伦敦玛丽女王大学「数据科学与人工智能理学硕士(可跨申)」本身的录取案例仅 1 条,样本不足以单独下结论;下表统计的是该校同一专业方向(人工智能)的 8 条案例,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 77.24(7 条)
本科层次普通本科 50% · 海外本科 25% · 985院校 25%
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
🎓 本科院校层次(8 条)
黑龙江工程学院 · 数据科学与大数据技术
普通本科GPA 77.24/100
天津理工大学 · 人工智能
普通本科GPA 78.77/100雅思 7.5 · 六级 564
常州工学院 · 人工智能
普通本科GPA 77/100
曼彻斯特大学 · Mathematics with Finance
海外本科GPA 55.42/100
曼彻斯特大学 · Mathematics with Finance
海外本科GPA 55.42/100
四川大学 · 机械设计制造及自动化
985院校GPA 3.16/4.0

🔗 站内归类方向

该项目已归属站内方向「人工智能」,可到该校该方向页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。
伦敦玛丽女王大学数据科学与人工智能理学硕士(可跨申)主要学什么?
该项目为硕士 · 数据科学,官网介绍:Artificial Intelligence (AI) is rapidly changing the way we live, work and learn. If you are looking to pursue a career as an AI and data Specialist, this programme will give you a strong understandin…
伦敦玛丽女王大学数据科学与人工智能理学硕士(可跨申)的学制是多久?
该校官网公布为 1年(全日制)。
伦敦玛丽女王大学数据科学与人工智能理学硕士(可跨申)的学费是多少?
34650英镑/年,为该校官网公布的项目学费。
伦敦玛丽女王大学数据科学与人工智能理学硕士(可跨申)什么时候入学?
该校官网公布 9月 入学。
伦敦玛丽女王大学数据科学与人工智能理学硕士(可跨申)的语言成绩要求是什么?
雅思 6.5(W 6 / S 6 / L 6 / R 6) · 托福 92(W 21 / S 21 / L 18 / R 19) · PTE 71(W 65 / S 65 / L 65 / R 65)。
伦敦玛丽女王大学数据科学与人工智能理学硕士(可跨申)的入学要求是什么?
The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is a…
伦敦玛丽女王大学数据科学与人工智能理学硕士(可跨申)一共开设多少门课程?
课程设置共 9 门。
伦敦玛丽女王大学数据科学与人工智能理学硕士(可跨申)毕业后主要去向有哪些?
咨询公司、互联网科技公司、保险公司、电商平台
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。
数据科学与人工智能理学硕士(可跨申)
伦敦玛丽女王大学 · 1年 · 34650英镑/年