關於課程
Our comprehensive programme meets the growing demand for analytical expertise across diverse industries, offering students a competitive advantage in their careers. In an era where data reigns supreme, extracting valuable insights from vast information is paramount. This programme focuses on the intersection of business knowledge, statistical analysis, and cutting-edge technology, preparing students to navigate this data-driven landscape effectively. Our modules combine core business management principles with the latest analytical techniques. Students will explore subjects such as data mining, predictive modelling, machine learning, data visualisation, and optimisation, gaining the skills to derive actionable insights and make informed decisions.
Led by accomplished academics and industry experts, our programme emphasises practical learning. Through hands-on projects, real-world case studies, and internships with leading organisations, students have ample opportunities to apply their analytical skills to solve complex business challenges. Our strong industry connections also provide valuable mentorship, internships, and potential job prospects.
MSc Business Analytics graduates will possess a deep understanding of leveraging data for strategic decision-making, operational optimisation, and gaining a competitive edge. Equipped with technical expertise, business acumen, and analytical thinking, our alumni excel in roles such as
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如何申請
Entry requirements for 格林威治大學
This course requires a UK 2:2 (Honours) or equivalent from a degree in business, computer science or other quantitative undergraduate degree. We will also welcome an application if you do not have a degree, but you have the equivalent professional qualification or significant relevant management experience. While the programme has a strong analytical and programming focus, applicants are not expected to possess any significant technical skills in this area when applying for this course. They will be expected to have the desire and aptitude to learn.
IELTS 6.5 overall with minimum 5.5 in each skill
English language requirements
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