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Royal Holloway, University of London: Digital Innovation and Analytics

Institution Royal Holloway, University of London
Department Management
Web http://www.rhul.ac.uk
Email Study@RoyalHolloway.ac.uk
Telephone 01784 414944
Study type Taught

Summary

Digital Innovation and Analytics is an exciting new course at Royal Holloway. It is aimed at recent graduates, from any discipline, seeking to boost their employability in a digital economy, as well as professionals wanting to update their workplace knowledge and skills. The course focuses on the knowledge and skills required to manage digital technologies in the development and delivery of business innovations. It will equip you with an in-depth understanding of how to integrate digital technologies such as mobile computing, enterprise systems, social media, and data analytics tools to innovate business practices. A key feature of the programme is the development of practical knowledge through industry connections and business case studies whilst providing a strong theoretical base on business management in the digital era.

On graduating you will have skills in current digital business practices, models, challenges, and developments in global enterprise management; an in-depth understanding of the key strategic and social issues associated with digital business enterprise, operations, development and implementation; and be adept at using methodologies in analysing and formulating effective solutions to relevant problems concerning digital business innovation and management.

As a member of the School of Management you will join an intellectually stimulating, friendly and supportive research environment and, through working closely with our expert and experienced academic staff, you will be in a position to realise your full potential.

  • Strong career prospects in a digital economy where the capacity to innovate and adapt is integral to employability.

  • New and exciting opportunity to study cutting-edge topics such as Big Data, social media, digital economy, and global supply chain. Coupled with exposure to highly sought-after skills in financial data analysis, data visualisation, and enterprise systems (e.g. SAP).

  • Develop an effective network through external contacts with leading academics and senior corporate managers through seminars and guest lectures and work on real business projects through corporate guest sponsorship.

Master of Science - MSc (PG)

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