MSc Big Data Science with Machine Learning Systems
伦敦玛丽女王大学
QS排名:0
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.
展开 IDP—雅思考试联合主办方
雅思考试总分
6.5
了解更多
- 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.
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.
展开 相关申请
预科
奖学金
实习机会
在校学习
跨境学习
校园授课-线上开始
在线/远程学习
学校排名
世界排名
130
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。伦敦玛丽女王大学下设三个学部,分别是人文与社会科学学部、科学与工程学部和医学与牙科学部,开设有广泛的学科供学生选择。该大学在英国排名第20位,在世界排名第120位(2025年世界大学排名 QS),是第一个提供学位学徒课程的罗素集团成员。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。玛丽女王大学有来自超过170多个国家的2.8万多名学生,这是一个非常多元化的学生群体,其中约50%的学生是国际学生。选择到该校学习的学生,无论背景如何,都能享受卓越的教育,体验伦敦丰富多彩的文化。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。除了教学课程外,玛丽女王学院还以其真正世界领先的研究而闻名。获得本科学位后选择继续攻读研究生课程的学生,可参与玛丽女王大学开展的一些最具开拓性的先锋研究项目。