杜伦大学
符合条件的计算机科学、数据科学及人工智能相关研究生课程的offer holders,将获得6周线上语言课的全额学费减免。
We are pleased to share details of a new scholarship being offered by Durham University’s Faculty of Science for September 2026 entry.
Eligible conditional offer holders of Computer Science, Data Science, and AI‑related postgraduate programmes will receive a full fee waiver for our 6‑Week Online Pre‑Sessional English course. We would be grateful if you could share this opportunity with relevant new applicants in your portfolio.
The Offer
Durham University will award a scholarship covering the entire £3,540 course fee of the 6‑Week Online Pre‑Sessional English to eligible applicants. Students who qualify will pay nothing towards the pre‑sessional course itself.
Course: 6‑Week Online Pre‑Sessional English
Dates: 15 June – 24 July 2026
Standard course fee: £3,540
Scholarship value: £3,540 (full fee waiver)
Eligibility
To qualify for the scholarship, applicants must:
Hold a conditional offer for one of the programmes listed below for September 2026 entry
Have an English language condition on their offer that requires pre‑sessional completion
Pay the programme deposit by 25 May 2026
Programmes Covered
Data Science suite
MSc Data Science (General)
MSc Data Science with AI Applications
MSc Data Science (Environmental Data Science)
MSc Data Science (Bioinformatics and Biological Modelling)
MSc Data Science (Health)
MSc Data Science (Digital Humanities)
MSc Data Science (Heritage)
MSc Data Science (Social Analytics)
Advanced Computer Science suite
MSc Advanced Computer Science
MSc Advanced Computer Science (Artificial Intelligence)
Business Analytics
MSc Business Analytics
Scientific Computing and Data Analysis suite
MSc Scientific Computing and Data Analysis (Computer Vision and Robotics)
MSc Scientific Computing and Data Analysis (AI Platforms Infrastructure)
MSc Scientific Computing and Data Analysis (AI for Engineering)
MSc Scientific Computing and Data Analysis (Environment and Geographic Information Systems)
MSc Scientific Computing and Data Analysis (Financial Technology)
MSc Scientific Computing and Data Analysis (Astrophysics)