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利兹大学 · 高级计算机科学(数据分析)理学硕士 硕士

University of Leeds|MSc Advanced Computer Science (Data Analytics)。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 77 位
学位 硕士 · 学制 1年 · 学费 34600英镑/年 · 入学 9月 · 14 门课程

📖 项目简介

From science to marketing, engineering to medicine, big data has become crucial to a wide range of industries – especially in recent years. That’s why many organisations are keen to employ qualified experts in computing who have a particular focus in data to keep their businesses progressing.

Our Advanced Computer Science (Data Analytics) MSc will equip you with specialist knowledge in this exciting field and allow you to explore a range of advanced topics in computer science.

You’ll gain a foundation in topics like data science, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like image analysis or text analytics with the chance to broaden your approach with topics like cloud computing.

Studying in our School of Computer Science gives you access to a whole range of specialist facilities, whilst being taught by academics who are experts in their fields. We’re responsible for producing internationally excellent research and have long-established links in industry and with the Leeds Institute for Data Analytics (LIDA) which is at the forefront of big data research.

Once you’ve graduated, you’ll be fully equipped with the most up-to-date practices and techniques, alongside the technical skill set you’ll need to pursue an exciting career in industry.

Why study at Leeds: Research produced by the Leeds Institute for Data Analytics and our School’s globally-renowned research conducted right here on campus feeds directly into the course, shaping your learning with the latest thinking. Gain real-world experience: Build professional skills and glean insight through an eight-week optional online work experience programme , working on a real project with a partner organisation. Benefit from studying at a university that’s partnered with the Alan Turing Institute , the UK’s national institute for data science and artificial intelligence. Advance your knowledge and skills in key areas of computing including data science and machine learning. Gain a breadth of expertise in areas like text, symbolic and scientific/numerical data analysis, alongside having the opportunity to work as an integral member of one of our research groups when you develop your main project. Tailor the degree to suit your specific interests with a selection of optional modules to choose from such as cloud computing, machine learning, deep learning, algorithms and data mining. Build industry experience by conducting your own individual project which focuses on a real-world topic of your choice, giving you the chance to develop professional skills in research and critical thinking. Access a wide range of industry-standard specialist facilities including a state-of-the-art cloud computing lab, a large High Performance Computing (HPC) resource and a robotics lab with a range of equipment available for specialist MSc projects. Experience expert theoretical and practical teaching delivered by a programme team made up of academics who specialise in a wide range of computing topics. Study in the Sir William Henry Bragg building which provides excellent facilities and teaching spaces for an outstanding student experience. Explore more of our facilities through our 360 virtual experience. Build professional skills and industry insight: You can complete an eight-week optional online work experience programme, working on a real project with a partner organisation.

Explore Leeds Discover our campus, facilities and accommodation with our 360 virtual experience platform .

With immersive 360 experiences, image galleries, virtual tours, videos and day-in-the-life content, you can take a personalised, interactive tour of campus and explore the University's academic, social and residential environments from anywhere in the world.

You can get a feel for what it's really like to live, learn and belong at the University of Leeds – all from the comfort of home.

以上为利兹大学该项目官网项目页原文(英文),本站未做改写或补写。

📋 项目参数

高级计算机科学(数据分析)理学硕士

MSc Advanced Computer Science (Data Analytics)
硕士工科
学制1年
学费34600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 88(W 21 / S 22 / L 19 / R 20) · 托福(新版) 4.5(W 4 / S 4 / L 4 / R 4) · PTE 64(W 60 / S 60 / L 60 / R 60)
就业方向初创公司、金融机构技术部门、IT咨询、互联网企业、软件开发商
岗位分布数据科学家、系统架构师、算法工程师、产品经理、软件工程师
📚 课程设置(14 门)
课程14 门
  • 大数据系统Big Data Systems
  • 数据科学Data Science
  • 并行和并发编程Parallel and Concurrent Programming
  • 硕士项目MSc Project
  • 生物启发计算Bio-Inspired Computing
  • 知识表示和推理Knowledge Representation and Reasoning
  • 云计算Cloud Computing
  • 语义技术和应用Semantic Technologies and Applications
  • 图像分析Image Analysis
  • 调度Scheduling
  • 科学计算Scientific Computation
  • 图像理论:架构和算法Graph Theory: Structure and Algorithms
  • 机器学习Machine Learning
  • 信息可视化Information Visualisation

📊 申请案例数据分析(24 条)

利兹大学「高级计算机科学(数据分析)理学硕士」本身的录取案例仅 0 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(数据科学)的 24 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 82.2(14 条);4 分制中位 3.36(10 条)
语言雅思中位 6.5(6 条)
本科层次普通本科 67% · 211院校 21% · 985院校 13%
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
📊 GPA 分布(百分制 14 条)
🎓 本科院校层次(24 条)
延边大学 · 统计学
211院校GPA 77.79/100雅思 6 · 六级 445
北方工业大学 · 信息与计算科学
普通本科GPA 72.97/100
南京林业大学 · 信息与计算科学
普通本科GPA 76.07/100
深圳技术大学 · 数据科学与大数据技术
普通本科GPA 3.31/4.0
深圳大学 · 音乐表演(流行演唱)
普通本科GPA 3.44/4.0雅思 5.5
兰州大学 · 数学与应用数学
985院校GPA 75/100

🔗 站内归类方向

该项目已归属站内方向「数据科学」,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。
利兹大学高级计算机科学(数据分析)理学硕士主要学什么?
该项目为硕士 · 计算机,官网介绍:From science to marketing, engineering to medicine, big data has become crucial to a wide range of industries – especially in recent years.
利兹大学高级计算机科学(数据分析)理学硕士的学制是多久?
该校官网公布为 1年(全日制)。
利兹大学高级计算机科学(数据分析)理学硕士的学费是多少?
34600英镑/年,为该校官网公布的项目学费。
利兹大学高级计算机科学(数据分析)理学硕士什么时候入学?
该校官网公布 9月 入学。
利兹大学高级计算机科学(数据分析)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) · 托福 88(W 21 / S 22 / L 19 / R 20) · 托福(新版) 4.5(W 4 / S 4 / L 4 / R 4) · PTE 64(W 60 / S 60 / L 60 / R 60)。
利兹大学高级计算机科学(数据分析)理学硕士一共开设多少门课程?
课程设置共 14 门。
利兹大学高级计算机科学(数据分析)理学硕士毕业后主要去向有哪些?
初创公司、金融机构技术部门、IT咨询、互联网企业、软件开发商
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。
高级计算机科学(数据分析)理学硕士
利兹大学 · 1年 · 34600英镑/年