Imperial College London
The course prepares graduates to understand the context, importance and relevance of big data problems facing a business and solve them using a variety of statistical, operational research and machine learning techniques. The overriding objective of the programme is to train students to solve business problems and obtain actionable business insight using analytics. Combining academic rigour and practical relevance, the programme is a careful balance of teaching and learning, individual and group work. Case study methodology and class-based discussions are used to strengthen the conceptual, analytical and problem solving skills of the participants in real situations. In addition, there are regular seminars by external expert speakers.
A 1st or upper 2nd Class Honours degree (or international equivalent), in a quantitative discipline such as mathematics, statistics, computer science, engineering, physics, economics, business or a quantitative social science. Although work experience is not a requirement, prospective students are strongly recommended to undertake relevant internships and work placements, as this adds weight to their application. Candidates who are currently in employment are expected to demonstrate how undertaking the MSc Business Analytics programme will help to develop their career. There is no GMAT requirement for MSc Business Analytics.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||£ 24,000 per Academic year (home fees)||12 months|
|MSc||Full-time||£ 24,000 per Academic year (overseas fees)||12 months|
|MSc||Full-time||£ 24,000 per Academic year (rest of UK fees (Scottish courses))||12 months|
|MSc||Full-time||£ 24,000 per Academic year (EU fees)||12 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|South Kensington Campus||Kensington and Chelsea||SW7 2AZ||South East|