国际学生入学条件
Minimum requirements 2:1 undergraduate degree (or equivalent). We consider applications from a wide range of degrees including economics business engineering psychology geography sociology and politics. This course requires strong numeracy and IT statistical ability. IELTS overall score of 7.0 minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above. Students need to have: Overall Score of 100 (Reading 22 Listening 21 Speaking 23 Writing 21);
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IDP—雅思考试联合主办方

雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:Pearson (Academic) [PTE] - 70 (including 59 + in all components)
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
该理学硕士是世界上最早的Google Analytics(分析)理学硕士课程之一
Build your quantitative consultancy skills on the MSc Business Analytics course. One of the world’s first business analytics courses, Warwick Business School will help you gain an understanding of the role of business analytics within an organisation, improve your business acumen and communication skills, and develop commercial research experience.Course overviewRanked 3rd in the UK and 17th in the world in the QS University Rankings 2025 for MSc Business Analytics, the course features a broad range of theory and applications in analytics.The course offers you the opportunity to gain in-depth theoretical and applied knowledge of business analytics, and to provide insights on how to analyse business problems and solve them using a variety of operational research, statistics and machine learning techniques.You will also gain a cross-disciplinary training in business models, quantitative methods and data science by covering descriptive, predictive and prescriptive analytics, and be prepared for working in complex data-driven environments through building up quantitative consultancy skills and developing programming skills.You will also be guided in optionally obtaining certification as Associate Certified Analytics Professional. This globally recognised certification is offered by the INFORMS (USA) and The OR Society (UK), and the required knowledge to pass the certification exam is closely aligned with the core content of this course.You will cover a balance of descriptive, predictive, and prescriptive analytics, involving visualisation (Tableau), forecasting and data mining techniques, and optimisation.Skills from this degreeLearn how to gain business insights from large data sets through a range of cutting-edge techniquesCover a diverse set of descriptive, predictive, and prescriptive analytics modules, aligned with industry trendsContinue developing your programming skills in SQL, R, and PythonPrepare to step directly into business by conducting an external consultancy project with a real client or putting your learnings into practice with the applied Business in Practice moduleDevelop your industry acumen by accessing our CareersPlus service with specialist careers coaches.
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