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20秋香港录取案例分享 - 香港大学
  • 案例分类:
  • 录取专业:商业分析
  • 录取时间:2019年12月
  • 奖学金:
  • 申请语言成绩:IELTS 7 GMAT 710
  • 申请人GPA:3.6
  • 申请人毕业院校:湖南大学
  • 申请人所学专业:会计
  • 录取院校:香港大学
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背景介绍

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留学规划与提升

The Master of Science in Business Analytics programme aims to prepare students for a career in business analytics. A business analytics professional needs to have the necessary skills and knowledge in a range of fields, including business, database, statistics, informatics, operations, as well as in advanced topics in business analytics such as business data mining, big data in business, etc. The program offers students with various business analytics courses, and it prepares an optimal mix of fundamental and cutting-edge knowledge in business analytics. Particularly, the programme will require a total of ten 6-credit courses that consist of five core courses (30 credits) and five elective courses (30 credits). The courses are divided into three streams: general analytics, information analytics, and operations analytics. Up to two elective courses may be taken from other taught postgraduate programmes offered by the Faculty.
 
Graduates of the programme will possess core analytics and quantitative skills needed in modern business world. They will fill the growing demand of business analytics specialists in Hong Kong, the region, and the world. To offer practical relevance as well as to prepare students for the job market, the programme forms a tie-up with Cyberport Hong Kong, an innovation & technology hub and creative digital community consisting of over 800 startups and organizations.

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Offered in full-time mode, the HKU MSc in Business Analytics programme aims to train students in the use of essential quantitative techniques and tools when applying big data analytics in strategic decision making for business and management.
 
Our programme delivers a rigorous learning experience across a wide spectrum of fields, including big data techniques, business statistics, simulation and forecasting models, operations and supply chain management, and financial and marketing analytics. The curriculum is structured as follows:
 
 
 
Information Analytics to understand the basis of data
General Analytics to transform data into information
Operations Analytics to convert information into executable actions
Capstone Course to tie the above three areas together through real world business projects
 
 
You will gain an in-depth knowledge of tools such as R and Python in applying data science and analytics in the business context. In addition to individual assignments and exams, some courses also require students to work on project presentations in a team setting. Case studies will be used to illustrate the application of business analytics skills in real world situations as well.
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