- 專業(yè)概況
- 所屬院系
- 中國學(xué)生入學(xué)要求
- 課程信息
專業(yè)概況
在這里學(xué)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.
所屬院系
進(jìn)入哪個院系學(xué)習(xí)？ School of Electronic Engineering and Computer Science
中國學(xué)生入學(xué)要求
為來自中國的學(xué)生設(shè)計 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.
課程信息
學(xué)制：全日制(1 年)
學(xué)費(fèi)：
開學(xué)時間：2022九月
申請截止日期：
留學(xué)地點(diǎn)：Mile EndMile End Road,Tower Hamlets,London,E1 4NS, England
滬ICP備18048269號-1 
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