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利物浦大学 · 高级数据科学与人工智能理学硕士 硕士

University of Liverpool|MSc Advanced Data Science and Artificial Intelligence。项目库类目:计算机 · 工科。 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 32000英镑/年 · 入学 1/9月 · 12 门课程
利物浦大学「高级数据科学与人工智能理学硕士」为硕士项目,学制 1年,学费 32000英镑/年,1/9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

高级数据科学与人工智能理学硕士

MSc Advanced Data Science and Artificial Intelligence
硕士工科
学制1年
学费32000英镑/年
入学时间1/9月
语言要求雅思 6.5(W 5.5 / S 5.5 / L 5.5 / R 5.5) · 托福 88(W 17 / S 19 / L 17 / R 17) · 托福(新版) 4.5(W 4 / S 4 / L 4 / R 4) · PTE 61(W 59 / S 59 / L 59 / R 59)
就业方向网络安全企业、云计算服务、互联网科技公司、金融科技、人工智能应用
岗位分布DevOps工程师、全栈开发工程师、算法工程师、安全工程师、数据工程师
📚 课程设置(12 门)
课程12 门
  • 计算机科学研究方法Research Methods In Computer Science
  • 应用算法Applied Algorithmics
  • 数据挖掘Data Mining
  • 多核编程Multi-core Programming
  • 大数据分析Big Data Analysis
  • 大数据团队项目Big Data Group Project
  • 优化Optimisation
  • 硕士项目Msc Project
  • 机器学习和生物启发优化Machine Learning and Bioinspired Optimisation
  • 安全性和可靠性Safety and Dependability
  • 行动和变革推理Reasoning About Action and Change
  • 计算竞价和机制设计Computational Auctions and Mechanism Design

🎯 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 5.5, for further details.

📖 项目简介

Gain hands-on experience of big data analytics, data mining and visualisation techniques using high-performance computer technology.

Please note, if you’re applying for January 2027 entry, your course welcome starts on 25 January 2027. Teaching starts on the 1 February 2027.

Big data is increasingly important in the contemporary business and IT world. For many public and private enterprises, analysis of large-scale data sets is critical to growth.

This MSc will prepare you for employment in an IT industry where big data professionals are in high demand.

You’ll learn how to interrogate vast amounts of structured and unstructured data and make informed insights from datasets that are too large to be readily processed using standard techniques.

We’ll provide an overview of the key algorithms, algorithmic approaches and software environments you’ll use when solving big data problems and explore data mining techniques.

Hands-on programming experience with the latest multi-core and multi-processor platforms will ensure your expertise in big data is underpinned by knowledge of high-performance computing. Further opportunities to specialise and enhance your knowledge of algorithms, optimisation and machine learning are available through a range of optional modules.

You’ll work as part of a small group on a practical project to find a solution to a big data problem. We’ll also provide a thorough grounding in how to plan and conduct research in preparation for your dissertation.

This course is available with a Year in Industry . Please note: the Year in Industry is only available to those starting in September.

The MSc in Advanced Data Science and Artificial Intelligence is designed for and directed at graduates with a previous Computer Science related degree.

Which postgraduate degree is right for you? The Department of Computer Science offers master’s programmes for students with undergraduate degrees in Computer Science and other disciplines.

If you have a Computer Science related degree, you could be eligible for the following master’s courses:

  • Advanced Computer Science MSc
  • Advanced Computer Science with a Year in Industry MSc
  • Advanced Data Science and Artificial Intelligence MSc
  • Advanced Data Science and Artificial Intelligence with a Year in Industry MSc
  • Theoretical Computer Science MSc
  • Theoretical Computer Science with a Year in Industry MSc
  • Cyber Security MSc .

Computer Science related degrees may include degree titles such as: Computer Applications, Computer Science, Computer Engineering, Computer Applications and Engineering, and Software Engineering. Please note that this list is not exhaustive. Any Computer Science related degree should contain a significant amount of computer science related modules to be relevant (as assessed by the Department of Computer Science).

If you don’t have a Computer Science related degree and you are interested in learning more about the field, you may be eligible to study:

  • Data Science and Artificial Intelligence MSc
  • Data Science and Artificial Intelligence with a Year in Industry MSc
  • Computer Science MSc
  • Computer Science with a Year in Industry MSc
  • Cyber Security MSc .

Please check individual course pages for detailed entry requirements.

  • Theoretical and practical aspects of programming for the latest multi-core and multi-processor platforms
  • Key algorithms, approaches and software environments for developing solutions to big data problems
  • Data mining techniques and challenges using real-world datasets
  • Application of visualisation methods to data mining
  • Research skills in computer science
  • Bio-inspired algorithms for optimisation and machine learning
  • How to model continuous and discrete optimisation problems
  • The benefits and weaknesses of selected algorithmic techniques
  • Algorithmic aspects of game theory
  • Neural networks for artificial intelligence
  • How to validate systems against safety specifications

The programme starting in Septemb

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。
利物浦大学高级数据科学与人工智能理学硕士主要学什么?
该项目为硕士 · 计算机,官网介绍:Gain hands-on experience of big data analytics, data mining and visualisation techniques using high-performance computer technology.
利物浦大学高级数据科学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)。
利物浦大学高级数据科学与人工智能理学硕士的学费是多少?
32000英镑/年,为该校官网公布的项目学费。
利物浦大学高级数据科学与人工智能理学硕士什么时候入学?
该校官网公布 1/9月 入学。
利物浦大学高级数据科学与人工智能理学硕士的语言成绩要求是什么?
雅思 6.5(W 5.5 / S 5.5 / L 5.5 / R 5.5) · 托福 88(W 17 / S 19 / L 17 / R 17) · 托福(新版) 4.5(W 4 / S 4 / L 4 / R 4) · PTE 61(W 59 / S 59 / L 59 / R 59)。
利物浦大学高级数据科学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 .
利物浦大学高级数据科学与人工智能理学硕士一共开设多少门课程?
课程设置共 12 门。
利物浦大学高级数据科学与人工智能理学硕士毕业后主要去向有哪些?
网络安全企业、云计算服务、互联网科技公司、金融科技、人工智能应用
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。
高级数据科学与人工智能理学硕士
利物浦大学 · 1年 · 32000英镑/年