The big data analytics market is forecast to grow at an annual growth rate of 29.7% and will be worth $40.6 billion by 2023 (Global Big Data Analytics Forecast to 2023, Frost and Sullivan). 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.
You 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.
Knowledge and skills taught include:
Visualisation for data analytics
Mathematics for AI and data science
Statistical data analytics and databases
Design and programming
User interaction design
Software engineering
Web technologies and security
Research and consultancy skills
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