- 專業(yè)概況
- 所屬院系
- 中國(guó)學(xué)生入學(xué)要求
- 課程信息
專業(yè)概況
在這里學(xué)什么？
The course
Machine learning has already revolutionised the user experience of millions of web users the world over, and yet the discipline is still comparatively young. In time, this form of artificial intelligence will have an even more profound impact on the way we use software and interact with computer technology. Study Machine Learning at Royal Holloway, University of London and you’ll equip yourself with a set of crucial skills to assist in the development of the next generation of search and analysis technologies.
Skills that you will acquire include the ability to:
- develop, validate, and use effectively machine learning and statistical models
- work with structured, unstructured, and time-series data
- extract value and insight from data
- work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
- develop and use universal prediction algorithms, including universal strategies for dynamic investment
- complement predictions with provably valid measures of accuracy and reliability.
- work with software packages such as MATLAB and R
You’ll study in one of the UK’s leading research departments, and contribute to our renowned research culture with your own Independent Project. You’ll benefit from cutting-edge research-led teaching, with the department’s research strengths including Algorithms and Applications, Machine Learning, Bioinformatics and others.
Teaching & assessment
Assessment is carried out by a variety of methods including coursework, small group projects, and examinations, the proportions of which vary according to the nature of the modules.
This programme can be taken part-time in day-release mode, allowing you to complete your degree by coming to campus once a week on fixed days.
Your future career
Demand for data scientists is buoyant, in the UK and worldwide, with salaries much higher than other IT professions and at least double the UK average full time wage. A Master's in Machine Learning at Royal Holloway, University of London offers students excellent graduate employability prospects. You’ll develop practical skills in machine learning techniques, making you an attractive candidate to employers. You’ll also be well-placed to pursue PhD study, should you choose to progress your studies further.
You’ll develop a range of highly sought-after transferable skills, while our proximity to the M4 corridor technology hub also known as ‘England’s Silicon Valley’ - will provide you with excellent placement and networking opportunities to pave the way for a rewarding future career. We bring several companies to our campus throughout the year, both for fairs and for delivering advanced topics seminars, which are an excellent opportunity to learn about what they do and discuss possible placements or jobs. Our recent graduates have gone on to enjoy roles at organisations such as British Aerospace, Microsoft, Amazon, and American Express.
- Strong industry ties help to provide placement and networking opportunities with some of the country’s leading institutions.
- Together with our on-site Careers and Employability Service, we run one-to-one coaching sessions and workshops, helping you to find a placement or job and lead a successful career.
所屬院系
進(jìn)入哪個(gè)院系學(xué)習(xí)？ Computer Science
中國(guó)學(xué)生入學(xué)要求
為來(lái)自中國(guó)的學(xué)生設(shè)計(jì) Students who have successfully completed a Bachelor degree (Xueshi) in an appropriate subject with good grades/GPA and at a reputable university will be considered for entry to a Royal Holloway Master's degree programme. Exact requirements will depend upon the programme they are applying for and the university they have graduated from, but most departments will ask for a minimum of 70-80% or a GPA of between 2.8-3.2/4.0. IELTS: 6.5 overall. No subscore lower than 6.0.
課程信息
學(xué)制：全日制(1 年)
學(xué)費(fèi)：￡21,500.00 (￥ 194,143) /年
開(kāi)學(xué)時(shí)間：2022九月20日
申請(qǐng)截止日期：
留學(xué)地點(diǎn)：Royal Holloway, University of LondonEgham,Surrey,TW20 0EX, England
滬ICP備18048269號(hào)-1 
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