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Business Information and Data Analysis (MSc)

Course Description

Business Information and Data Analysis is designed to provide a unique course of study for a range of prospective students wishing to not only obtain a recognised postgraduate qualification but also gain skills and knowledge that has the potential to enhance their career opportunities in the field of business information systems and data analytics beyond their respective backgrounds. The subjects accessible in the course are based on the large body of up-to-date research and practitioner knowledge and experience of the staff in the department of Mathematics and Information Sciences – primarily located in the Business Information Systems specialist subject team.

The curriculum includes the study of a range of modern approaches to information and data resources accessibility and modelling, digital information in the context of business and society, understanding user behaviour and interaction design, application of statistics and business intelligence to better exploit data and information resources within an enterprise, research methods and professional practice in the context of information sciences.

The course seeks to address the importance of organisation and access of information in diverse settings, which provides the basis to build better understanding of the underlying systems and their requirements. This greater understanding of the information organisation and access helps in better modelling of the data, user behaviour and their interaction to the information systems.

The course fosters and develops greater understanding of research methods and practice underpinning research in the context of information sciences, which will help students employ suitable methods and practice in applied, contract, academic and/or professional research.

Visit the Business Information and Data Analysis (MSc) page on the Northumbria University website for more details!

Entry Requirements

Applicants will normally hold a good honours degree (2:2 or above) or equivalent in a range of quantitative subject disciplines (e.g., mathematics, statistics, computing and computer science, IT, engineering, physics, economics, business or quantitative social sciences). Applicants who are not graduates and do not hold professional qualifications of equivalent standing can also be considered for entry if they show evidence of a strong motivation and capability for academic study and personal development (e.g. evidence of attendance at short courses) and/or suitable experience of working in areas which involve a significant amount of Information Technology

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