Artificial Intelligence and Machine Learning, Big Data. New technologies and ways of working are changing the way we make decisions. This programme will take your career to the next level and develop your ability to confidently make high impact businesses decisions that are driven by data. The programme focuses on two key areas: analysing business data, and solving business challenges analytically. Optional modules allow you to further specialise in areas such as the economic, managerial or finance or aspects of the subject. Furthermore, you will benefit from hands-on experience of a wide range of analytics software such as simulators and mathematical tools.
Applicants should normally hold a Bachelors degree (UK 2:1 or above) or equivalent qualification from a recognised British or overseas university in a related subject with significant exposure of mathematical subjects: (economics, finance, mathematics, computer science or engineering subjects).
Applicants holding a Bachelor's degree with a 2:2 result in a relevant subject (or overseas equivalent) may still be considered if they also hold a minimum of three years full time graduate work experience in an analytical and data-intensive field. Higher level professional qualifications may also be accepted.
Each applicant is assessed on their own merit.
English language requirements: IELTS Academic: 6.5 overall, 6.0 in each component (or equivalent).
For current entry requirements, please visit our website. The link is under Course contact details.
Example modules listing: Data analytics; supply chain analytics; econometrics I; machine learning and visualisations; principles of accounting; foundations of finance: finance and investments; supply chain and logistics management; information for decision making; managing decisions implementation; introduction to marketing analytics; econometrics II; business process management; innovation management; investment analysis; dissertation.
Assessment methods include the completion of a dissertation.
|Qualification||Study mode||Start month||Fee||Fee locale||Course duration|
|MSc||Full-time||September 2018||20,500 (Year 1)||International||12 12 Months|
|MSc||Full-time||September 2018||12,000 (Year 1)||Home/EU||12 12 Months|
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