专业概况
在这里学什么?
Companies, users and devices generate enormous volumes of unstructured data. Train to become a data scientist – a highly skilled professional who is able to combine state-of-the-art computer science techniques with modern methods of statistical analysis.
- Extract understanding from data and create new services that are based on mining the knowledge within this information
- Learn about how to create automated prediction, recommendation and classification services
- Gain skills for this highly-sought-after career path, where demand is expected to increase significantly over the coming years
- Benefit from the world-leading expertise in research at Queen Mary as well as our strategic partnership with IBM and other leading IT sector companies
- Learn from academics in our research groups, including: Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science
Facilities
The School has excellent bespoke facilities, including:
- Augmented human interaction (AHI) laboratory
- Dedicated computing cluster for Big Data processing jobs
- Informatics teaching laboratory with 350 state-of-the-art computers, and GPUs for machine learning
- Antenna measurement laboratory
- Listening room
- Media and arts technology studios
- Performance lab
- Robotics laboratory (ARQspace)
Career paths
Our postgraduates go on to work in a wide variety of careers, mostly within IT and information services. The broad range of skills gained through programmes in this School, coupled with multiple opportunities for extra-curricular activities and work experience, has enabled postgraduates to move into careers such as:
- Machine learning researcher
- Data scientist
- Head of data engineering
- Big data analyst
- Analyst
- Technical analyst.
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