The Big Data revolution needs data professionals to assist in data intelligence through automated data management, analysis and presentation in industry and public sector, as the increase in demand is 160% (Blau, 2015; Columbus, 2017). Typically computing courses in the UK don’t address industries’ and public sectors’ need for data professionals to manage data for public good. There is an increase in demand for graduates with interdisciplinary skills and abilities; social science humanities, mathematical, information science, systems science, psychology and economics. This course will provide you with the opportunity to build upon your degree learning and further develop your interdisciplinary skills. You will learn how to lead on, manage, use and harness technology to extract, analyse, and visualise data. In particular, how to make good use of the large quantities of Data in Action to the benefit of commerce, environment and society. You will develop your learning, how to apply and analyse statistics and probability, artificial intelligence, machine learning, pattern recognition, uncertainty modelling, visual processing, meta cognitive and linguistic processing to support Data in Action.
You should be a digital and numerical literate graduate with a degree (2:2 or higher) in: STEM degree subjects or near STEM subjects (examples of near STEM subjects include: Economics, Informatics, Accountancy) Non-STEM degree subjects: if your degree is not related to STEM, you will also need an A level in maths.
Fees and funding
No fee information has been provided for this course