If you are applying from outside the UK/EU, click apply now
Course starts: 14 September 2020Apply now
If you are applying from within the UK/EU, click apply now
Course starts: 14 September 2020Apply now
This top-up course is informed by data science, AI and machine learning. Data science research has impact wherever analysis of large-scale complex data is useful. It enables businesses and policy makers to determine trends, it can be used in disease prevention, preventing terrorist attacks, cybersecurity, combatting crime and in the discovery of new scientific knowledge. You will learn a range of industry specific software and tools such as Oracle, Python (Anaconda Navigator), R Studio and Weka.
We employ a blended teaching and learning approach and work to consistently to expose you to real-world industrial activity while developing essential practical skills. You will learn through a mix of lectures, interactive lectorials, lab-based practicals, classroom-based seminars, group problem-solving sessions, case studies, guest expert lectures, one-to-one and group supervision and online learning.
You will be assessed mostly by practical coursework, with some written assessments and occasional written examinations or time-constrained assessments.
Undertake advanced study in order to define, plan and a develop a proposal for a research investigation and scope, plan, develop and produce an academic research paper.
Work with a client to develop a practical solution to a business problem, using up-to-date practitioner methods across the project life cycle.
Learn about the practical applications of big data in a business context and gain a critical awareness of the strategic challenges and opportunities afforded by business intelligence to organisations. Consider the professional and ethical requirements of big data.
Understand how traditional and newer data models and database technologies support real world demands of data. Investigate various data architectures and how they can represent structured and unstructured data in traditional and big data systems, methods for designing, developing and maintaining these data systems, and tools for data access and analysis including data analytics tools and how they are used in areas such as data science.
Gain a broad introduction into AI techniques and a detailed understanding of the application of some critical approaches, so that when you go into industry or research, you are able to choose and develop a solution using the correct AI techniques for the problem.
Study the principles and practices that ensure users gain the most appropriate experience when interacting with computer-based software and hardware systems. Focus on the three core principles of interaction design: understanding users and their contexts which involve learning techniques to profile users and analyse their tasks, design principles such as layout and dialogue design, and user-centred evaluation methods such as usability testing and expert inspection.
Some modules have prerequisites. Read more about what this means in our Help and Advice article.
The typical entry requirement is successful completion of one of the following:
There is a range of qualifications that would satisfy the entry requirements and we will consider each application individually.
If English is not your first language, please see our English language requirements.
This course is subject to approval.
The annual fee for this course is:
If you are unsure whether you qualify as a UK, EU or international student, find out more in our Help and Advice article.
Take a look at the Your Finances section to find out about the scholarships and bursaries that may be available to you.
Use our scholarships calculator to see what you may be entitled to.
This information was correct at the time of publication.
You will graduate as a technically competent data and information systems analyst with experience of up-to-date methodologies, opening up a wide range of employment opportunities. Our graduates in this area are working as Software Developers and Data Engineers at financial institutions including JP Morgan and Deloitte and software development companies such as Accenture.
With the global data and business analytics market being valued at 169 billion US dollars in 2018, and expected to grow to 274 billion in 2022, there is a clear demand for data analytics professionals. In October 2019, jobsite.co.uk listed over 2,700 jobs in the UK that require skills in data analytics, with over 330 of these commanding a salary of over £100,000.
You will be given additional support in career planning, preparing to apply, preparing your CV, interview techniques and much more, meaning you will well equipped to apply for exciting, high-salary positions such as data analytics analyst or big data consultant.
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