Data Science MSc

Gain an understanding of big data governance, data analytics and data storage to successfully manage and share an organisations’ data. Data and information are recognised as central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy. You could already be working and looking to enhance your expertise in data science. Alternatively, you may have recently graduated and want to move into roles specifically aligned with data science and analytics. We’ll help you develop a comprehensive understanding of the role of data within business. As part of your course, you’ll: Study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently Explore techniques used to analyse data Discover how data can contribute to a company's business strategy Focus on the application of data science in a specific field such as health, education or fraud prevention In the ever-changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy. You’ll be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace. Central to the course will be the themes of security, ethics, data governance and sustainability. You’ll graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.

Students require a 2:2 or above in a computing related degree such as Computing, Computer Science, Business Information Technology or work experience of a similar level such as to evidence a significant understanding of technology, information systems and the role of data. All applications should be supported by a reference, either academic or professional.