MSc Big Data Science with Machine Learning Systems

伦敦玛丽女王大学

QS排名:
学历文凭
Masters Degree (Taught)
国际学生入学条件
A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline.
English Requirements
IELTS: a minimum overall score of 6.5 including a minimum of 6.0 in Writing, and no less than 5.5 in Reading, Listening and Speaking.
TOEFL: a minimum overall score of 92 including a minimum of 21 in Writing, and no less than 18 in Reading, 17 in Listening and 20 in Speaking.
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:92
- 托福笔试总分:160
- 其他语言考试:PTE Academic: a minimum overall score of 62 including a minimum of 57 in Writing, and no less than 51 in Reading, Listening and Speaking.
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
Data Science is transforming how companies, researchers, governments and other organisations over the world address traditional problems. On completion of this programme, you will become a highly skilled specialist with an in-depth understanding of the two main knowledge areas that are responsible for the success of the Data Science movement, Big Data technologies and Machine Learning.<br>This programme will provide students with cutting-edge statistical approaches including machine learning and technological tools like cloud and big data platforms for analysing large-scale datasets. Students will learn how to extract value from data by identifying patterns, creating predictive models and deploying data-driven solutions at scale. <br><br>The programme will cover the following topics:<br><br>Statistical data modeling and visualisation<br>Machine Learning techniques for prediction and pattern detection<br>Big data processing and cloud computing techniques for creating reliable and scalable solutions that deal with massive amounts of data<br>Domain-specific techniques for applying data science to different domains: including natural language processing, computer vision, social network analysis and information retrieval<br>Use case-based projects that show the practical application of the skills in real industrial and research scenarios.<br>Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. You will also undertake a large project where you will demonstrate the application of data science skills in a complex scenario.
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数据源:泰晤士高等教育世界大学排名

关于伦敦玛丽女王大学

伦敦玛丽女王大学(简称玛丽女王大学)是全球领先的继续教育院校之一,在伦敦中部和东部共有五个校区。该校的历史可以追溯到1785年,当时在伦敦皇家医院成立了英国第一所医学院。伦敦玛丽女王大学是一所尊重和欣赏差异性的大学,每个人独特的观点都会受到重视。快来加入这个集体吧,在那里,拥有不同经历的学生共同构建了一个丰富多彩、充满活力的学习环境,个性化教育助力学生不断进步和发展。该校在伦敦及其他地区有五个校区,共有来自世界各地170多个国家的3.1万多名学生在该校学习,其中一半是国际学生。该校位居全球大学100强之列(''2024-25年美国新闻与世界报道全球最佳大学排名'') ,科研名列全球第24位(《2025年泰晤士高等教育》),在''2026年QS世界大学排名''中名列全球第110位,伦敦玛丽女王大学让每位学生都能够获得独特的大学求学体验。玛丽女王学院是英国罗素集团大学的成员,这意味着它致力于杰出的研究和教学。该大学的研究质量在英国排名第七。在最新''卓越研究评估框架''(REF)中,玛丽女王大学92%的研究被评为''国际优秀''或''世界领先''水平。学生可选择参与一些最具开拓性、最前沿的科研项目。通过屡获殊荣的职业服务,学生有机会与训练有素的顾问进行一对一的职业预约,查看超过2000个工作经验机会,并参加与来自英国各地的雇主会面的活动。