Online - MSc Computer Science with Data Analytics

A cutting-edge online MSc Computer Science with Data Analytics from a university with leading teaching and research ratings, and superb student satisfaction scores.The online MSc Computer Science with Data Analytics from Keele University has been carefully designed to develop the knowledge and skills required to capitalise on the acute skills gap in this fast-growing area and succeed in computer science and data analytics careers.With no prior academic or professional experience in computer science or data science required for admission, the programme is intended for proactive individuals who wish to embark on an exciting new career in this high growth field. Equally, it is also for professionals who currently work in computer science and data analytics roles and are looking for an academic qualification to accelerate their career progression.The course equips you with sought after skills in a high demand field and prepares you to excel in a wide range of careers, from data scientist to data analyst to data engineer, at the numerous companies who are investing in the use of data collection and data analytics to support the delivery of efficient business decisions, and superior services and products, such as investment analysis, customer satisfaction analysis and the monitoring of environmental pollution.The Keele University Computer Science and Mathematics Department is fortunate to have academics who are world-leading experts in their field and are actively involved in cutting-edge research, with 80% of the university’s research rated as ‘world leading’ or ‘internationally important’ in the latest Research Excellence Framework.The department regularly wins and is awarded funding from the leading UK research funding agencies, ESPRC and BSRC, as well as prestigious funding bodies such as the Leverhulme Trust.What you will learnOn this data science course, you will develop an in-depth understanding of data management across a range of areas, from finance to environmental sustainability. You will study the foundations of artificial intelligence methods and advanced applications of data visualisation techniques and tools in key fields, such as smart and green energy management, global healthcare monitoring and insurance risk analysis. You will learn programming languages, including Python, R and Matlab.Knowledge and skills taught include:Visualisation for data analyticsMathematics for AI and data scienceStatistical data analytics and databasesDesign and programmingUser interaction designSoftware engineeringWeb technologies and securityResearch and consultancy skills

Applicants should normally have, or be about to complete: A 2:2 undergraduate degree or a UK master’s degree (or international equivalent). Or A third-class honours degree or an ordinary degree (without honours) or UK equivalent professional qualification with a minimum of two years’ appropriate work experience. Or Applicants who do not hold a recognised degree will be asked to provide evidence which demonstrates a minimum of three years’ relevant computing, IT or data management experience. The evidence will be assessed on a case-by-case basis. The work experience must be at a graduate level, in either managerial or professional capacity normally in computing, IT or data-related employment which may include development, management or significant responsibility in use of IT or data. If you earned your undergraduate degree outside the UK, you should check that it is equivalent to a 2:2.