The MSc Business Analytics course is intended to provide premium Masters-level education and training in relevant areas of contemporary business analytics in a supportive research-led interdisciplinary learning environment. The broad aims are: - To develop advanced and systematic understanding of the complexity of data, including the sources of data relevant to business, alongside appropriate analysis techniques - To enable students to critically review and apply relevant business analytics knowledge to practical situations - To develop a critical awareness of current issues in business analytics which is informed by leading edge research and practice in the field - To develop a conceptual understanding of existing research and scholarship to enable the identification of new or revised approaches to business analytics practice - To develop creativity in the application of knowledge, together with a practical understanding of how established, advanced techniques of research and enquiry are used to develop and interpret knowledge in business analytics. - To develop the ability to conduct research into business analytics issues that requires familiarity with a range of business data, research sources and appropriate methodologies and ethical issues - To develop advanced conceptual abilities and analytical skills in order to evaluate the rigour and validity of published research and assess its relevance to new situations - To extend the ability to communicate effectively both orally and in writing, using a range of media.
MSc: A UK first or upper second class honours degree or equivalent in either business; computer science; or a related subject with a strong quantitative component.
Core Modules: EITHER Introduction to Computer Science, OR Introduction to Management, AND Data Analytics in Action, Learning from Data, Building Customer Insights, Natural Language Analysis, Retail Science, Data Analytics for Strategic Decision-Making, Silicon Valley Field Trip, Business Analytics Project.
The MSc Business Analytics uses a wide range of learning and teaching methods: Lectures, Seminars, Workshops, Computer/practical classes, Independent study, research and analysis, Structured reading, Case studies, Projects, Business Analytics Project, Supervisions, Group and individual oral presentations, Assessed fieldwork.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||October 2019||-||1 Years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Durham University||DH1 3LG||North East|
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