Course Overview

The Big Data revolution needs data professionals to assist in data intelligence€¯through automated€¯data management, analysis, and presentation in the industry and public sector, as the increase in demand€¯is€¯160% (Blau, 2015; Columbus, 2017).€¯ Typically computing courses in the UK dont address industries and public sectors need for€¯data professionals to manage data for the 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, analyze, and visualize€¯data. In particular, how€¯to€¯make good use of the large quantities of Data in Action to the benefit of commerce, the environment, and society.€¯You will develop your learning, how to apply and analyze€¯statistics and probability, artificial intelligence, machine learning, pattern recognition, uncertainty modeling, visual processing, metacognitive and linguistic processing€¯to support Data in Action.€¯€¯€¯

General Eligibility

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.

Part Time Work Details

Language Requirement

• 6.5 overall with no element below 6.0