国际学生入学条件
A-level standard offer
A*AA including A* in Mathematics and A in Further mathematics or another mathematics-related subject. Mathematics-related subjects include Biology, Chemistry, Computer Science, Economics, and Physics. STEP paper achievement may be included as part of an alternative offer.
BTEC
D*DD in either Engineering BTEC National Level 3 Extended Diploma, plus A in Mathematics at A-level (or equivalent) or any Applied General BTEC National Level 3 Extended Diploma, plus A in A-level Mathematics (or equivalent). Applicants taking Engineering BTEC may be invited to take the University of Bristol mathematics test in place of A-level Mathematics.
International Baccalaureate Diploma
38 points overall with 18 at Higher Level, including 7 at Higher Level in Mathematics (either Analysis and Approaches or Applications and Interpretations) and 6 at Higher Level in another mathematics-related subject. Mathematics-related subjects include Biology, Chemistry, Computer Science, Economics, and Physics. STEP paper achievement may be included as part of an alternative offer.
IELTS Academic: 6.5 overall with no score below 6.0
TOEFL iBT: 85 overall with R20, L20, S21, W20
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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:85
- 托福笔试总分:160
- 其他语言考试:Pearson PTE Academic (Test Centre): 67 average with no skill below 60
CRICOS代码: G1G5
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Gain the knowledge and skills to fast-track your career and find solutions to the challenges facing our data-led world. You'll combine mathematical, statistical and computational approaches to discover knowledge from data, preparing you for a diverse range of careers. Pharmaceuticals, manufacturing, market research, social media, finance, sports and disaster management are all fields with high demand for data scientists.<br><br>Learn with leading academics in this exciting field. Bristol's data science expertise means that you'll be taught the sophisticated theory and methods needed to address modern data-analytic challenges. Our highly interdisciplinary programme features links with the Bristol Institute for Scientific Computing (BriSC) as well as exposure to real-world problems from our industry partners.<br><br>You will study units involving a blend of theoretical background and practical skills designed especially for this new course, including Mathematical Tools for Data Science, Advanced Linear Modelling and Classification, and Algorithms and Machine Learning. Additional information, including information about careers in Data Science and testimonials from students and industrial partners
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