Please note this course will not be running for 2018, but will be available for 2019.
We have designed this course in consultation with industry partners. The course will be of specific interest to: a mathematics graduate wishing to use their skills in a vocational business based environment; a computer science graduate wishing to follow a vocational route; individuals currently working in Business and looking to grow their career through gaining Data Science and Business Analytics skills.
You will be assigned a Personal Tutor from the start of your course who will work with you throughout your studies to help you achieve your academic best. The knowledge we provide you with in these areas will give you all of the essential know-how on methods, tools and techniques to deliver in your career in Business Intelligence. The modules will be focused on the practical application of theoretical concepts using a range of contemporary enterprise management knowledge systems.
The project work we have imbedded within the course has been chosen and developed based on real-world scenarios across a range of industry and government sectors and is specifically designed to: provide an essential link between your theoretical learning and real-world challenges; create an environment where you decide the methods and tools best suited to the challenge based on what you have learnt; recreate some of the challenges facing industry today and those very similar to what you will encounter in the workplace; be adaptable to reflect new methods / tools and scenarios in this fast developing discipline; be able upon completion of the projects to reference your experience in working with such challenges.
A 2:2 in an appropriate course with a B grade in Maths at A level or equivalent.
Indicative modules: Business intelligence foundation (20 credits); managing data and data warehousing (20 credits); data exploration and analysis (20 credits); statistics and operational research (20 credits); operations management and performance improvement (option) (20 credits); data visualisation and presentation (option) (20 credits); business decision making (option) (20 credits); dissertation/project (60 credits).
Our approach to supporting your learning, and how your learning is assessed, is designed to mirror the workplace environment. With this in mind, key features of our approach to learning and assessment include the following: We place a lot of emphasis on course work related activity. Opportunities to work with organisations on current commercial/business problems and projects. These experiences are used to provide the basis for assessments that enable you to apply your learning within authentic commercial situations.
|Qualification||Study mode||Start month||Fee||Fee locale||Course duration|
|MSc||Full-time||September 2019||Home/EU||1 Years|
|MSc||Full-time||September 2019||International||1 Years|
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