国际学生入学条件
Applicants will normally be expected to have a distinction at MSc level (or equivalent) in computer science or related discipline. However, in exceptional cases we may consider other qualifications (including at undergraduate level) and all applications will be considered on their merit as appropriate to the individual case. Applications from individuals with non-standard backgrounds (e.g. those from industry or returning from a career break) are encouraged, as are applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates, who are currently under-represented in the sector. All applicants will need to demonstrate enthusiasm and aptitude for the programme.
It is not necessary that an applicant has completed their current course of study before applying. If an applicant has not completed their current course of study, any offer may be conditional on the eventual degree classification.
Applicants must have a good command of English and be able to apply it in an academic environment. Therefore, those who have not been educated in English will usually be required to provide certificated proof of competence in English language before starting their studies. Applicants should have an IELTS Score of 6.5 overall with a minimum of 6.0 in each skill, or a TOEFL iBT score of 92 overall with a minimum of 23 in writing and 20 in each of the other skills.
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IDP—雅思考试联合主办方
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雅思考试总分
6.5
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雅思考试指南
- 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:Pearson Test of English (Academic) - 62 overall with a minimum of 59 in each communicative skill
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
The UKRI Centre for Doctoral Training (CDT) in Safe and Trusted Artificial Intelligence (STAI) brings together world leading experts from King's College London and Imperial College London to train a new generation of researchers in safe and trusted artificial intelligence (AI). <br><br>The STAI CDT offers a unique four-year programme, focussed on the use of model-based AI techniques for ensuring the safety and trustworthiness of AI systems. Students will engage in various training activities, alongside their individual PhD project, ensuring that not only are they trained in state-of-the-art AI techniques, but also that they acquire a deep understanding of ethical, societal, and legal implications of AI in a research and industrial setting. Through engagement with the CDT's diverse range of industrial partners, students will be exposed to the different experiences, challenges, and technical problems involved in both startups and large corporations.<br><br>Run jointly by King's College London and Imperial College London, the CDT focusses on the use of model-based AI techniques for ensuring the safety and trustworthiness of AI systems. Model-based AI techniques provide an explicit language for representing, analysing and reasoning about systems and their behaviours. Models can be verified and solutions based on them can be guaranteed as safe and correct, and models can provide human-understandable explanations and support user collaboration and interaction with AI – key for developing trust in a system.<br><br><br>Duration 4 years<br><br>Study mode Full-time, Part-time
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