Surrey Business School’s Business Analytics MSc is dedicated to producing creative and knowledgeable business analysts with the ability to convert big data to actionable insight in business.
With input from industry experts in class and on-site, you will engage with real-world business problems from leading contemporary organisations.
Artificial intelligence, machine learning, and big data; new technologies and ways of working are changing the way we make decisions. This course 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.
This course includes a placement module as a final project, where you’ll take what you’ve learnt and apply it in a relevant organisation. Optional modules allow you to further specialise in areas such as the economic, managerial or finance aspects of the subject.
Students have the opportunity to use artificial intelligence to improve a chess game, game theory to create games, and computational intelligence with genetic algorithms.
You will also learn the power of visualisation from graphs, discover virtual reality, gaining insights from data mining and machine learning.
|Qualification||Study mode||Course length||Start date|
|MSc||Full-time||12 months||Oct 2018|
|MSc||Part-time||24 months||Oct 2018|
|MSc||Full-time (with placement)||15 months||Oct 2018|
Association to Advance Collegiate Schools of Business (AACSB)
Accredited by the Association to Advance Collegiate Schools of Business (AACSB).
There may be opportunities to acquire valuable European experience by working or conducting research abroad during your degree or shortly afterwards. It is possible to do this in the summer period with an Erasmus+ grant working on your dissertation or as a recent graduate. In order to qualify your Erasmus+ traineeship must be a minimum of two months.
Business analytics students often pursue careers as consultants, researchers, managers and analysts.
You will get hands-on experience using a wide range of tools in the course. An indicative list of the software tools is as follows: