手机访问

手机扫一扫

|投诉/建议

全国统一学习专线 8:30-21:00

伦敦大学玛丽皇后学院-机器学习视觉数据分析理学硕士Machine Learning for Visual Data Analytics MSc(硕士)

伦敦大学玛丽皇后学院-机器学习视觉数据分析理学硕士Machine Learning for Visual Data Analytics MSc(硕士)

上课方式:直播,面授
班级类型:小班
上课时段:白天班,晚班
价       格:¥询价

伦敦大学玛丽皇后学院-机器学习视觉数据分析理学硕士Machine Learning for Visual Data Analytics MSc(硕士)课程详情

  • 专业概况
  • 所属院系
  • 中国学生入学要求
  • 课程信息

专业概况

在这里学什么?

This programme is designed to train engineers to work in the analysis and interpretation of images and video. It covers both low-level image processing and high-level interpretation, using state-of-the-art machine learning methodologies.

  • Undertake high-level training in programming languages, tools and methods that are necessary for the design and implementation of practical computer vision systems
  • Be taught by world-class researchers in the fields of multimedia analysis, vision-based surveillance, structure from motion and human motion analysis
  • Work on cutting-edge, live research projects, gaining hands-on experience
  • Work with the most up-to-date technologies - each topic is backed up by our world-leading research centres and groups
  • You can choose to study this programme with an additional year of Industrial Experience to augment your practical skills

Facilities

The School has excellent bespoke facilities, including:

  • Augmented human interaction (AHI) laboratory
  • Informatics teaching laboratory with 350 state-of-the-art computers
  • Antenna measurement laboratory
  • qMedia and arts technology studios (Performance lab, control room, listening/recording room)
  • Robotics laboratory (ARQspace)

Career paths

Your skills and knowledge will be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields, such as multimedia indexing and retrieval (eg Google, Microsoft), motion capture (eg Vicon), media production (eg Sony, Technicolor, Disney), medical imaging, security and defence (eg Qinetiq), robotics, and industries in related areas that require good knowledge of machine learning, signal processing and programming.

A number of our academics have common research projects with industrial partners such as Disney, BBC, Technicolor and STMicroelectronics, and take on consultancy work with industry.

You will also be ideally placed to pursue further research, including continuing onto PhD studies.

所属院系

进入哪个院系学习? School of Electronic Engineering and Computer Science

中国学生入学要求

为来自中国的学生设计 Students need to have a Bachelors Degree. IELTS Academic: 6.5 overall including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking.

课程信息

学制:全日制(1 年)

学费:

开学时间:2022九月

申请截止日期:

留学地点:Mile EndMile End Road,Tower Hamlets,London,E1 4NS, England

相关新闻 更多 >