Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational and analytical skills and who can inform business decisions to increase efficiency. Our Masters in Business Analytics has been developed with just that in mind and our aim is to teach students how to apply descriptive, predictive, and prescriptive analytics of big data concepts and techniques to generate valuable insight that can assist with decision making.
A strong academic base alongside our passionate faculty and international student body will ensure a rewarding learning experience in our city-centre campus. The School has some major partnerships with organisations such as Dixons Carphone plc/Connexity and further widespread industry links which will enable you to benefit from the expertise of a range of guest speakers. Industry projects are incorporated into the curriculum and students will learn to use Matlab, a key global platform, amongst other key systems thus preparing them with practical skills and insights for future employment roles.
You will take four core courses in the first term (Sep-Dec) and then select four option courses in the second term (Jan-May). The final dissertation will be written over the summer term (Jun-Aug) and is overseen by an academic supervisor.
Recent market forecasts suggest that the Big Data technology and services market will grow to an expected value of $41.5 billion by 2018 which is about 6 times the growth rate of the overall information technology market (Source: IDC). It is anticipated that demand for data analytics employees will therefore also continue. On this Masters course you will have the opportunity to equip yourself with an artillery of concepts, methods and applications of business analytics and gain further hands-on and practical experience when applying these to industry projects in different business settings. It is anticipated that graduates from this programme will enter roles such as Business Consultants, Business Analysts, and Solution Architects amongst others.
You will need a UK first-class or 2:1 honours degree in one of the subjects below, or an equivalent overseas qualification.An undergraduate degree in a quantitative subject, finance, economics, business or management is normally required. Acceptable quantitative subjects include mathematics, statistics, operational research, informatics, computer science, physics, and engineering.Candidates with a very good Honours degree in other areas of study or relevant business experience will be considered on an individual basis.
Recipient: University of Edinburgh
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