To accelerate your learning, you will be exposed to theories, methods, tools, and technologies (including SPSS and Tableau software packages; MySQL, Python, R language or similar) relating to the design, development and testing of data science applications for business intelligence.

You will train and deploy distributed machine learning models using a cloud-based platform such as Google Cloud, Microsoft Azure or AWS or similar and machine learning technology using TensorFlow. You will also be exposed to the fundamental concepts, principles, technologies, and techniques of big data analytics.

You will be able to apply this knowledge and skill in your context, and critically analyse the implementation and recommend future improvements. Recognising that information governance and cyber security are critical to the adoption and use of computing systems in businesses and organisations, you will also cover fundamental concepts, principles, techniques and tools of information governance and cyber security.

This Master’s programme has been designed to ensure that graduates will be equipped to work in a variety of careers in the IT industry or to progress to academic or research-orientated careers. Indeed, the qualification is designed to accelerate your skills and competence in a range of job roles, including roles in leadership and management such as:

• Machine Learning Engineer
• Data Engineer
• Business Analyst
• Data and Analytics Manager
• Business Intelligence Analyst
• AI Cloud Architect
• Data Architect

Furthermore, this programme will prepare you to meet the educational requirements of the BCS, The Chartered Institute for IT for the purposes of meeting the further learning academic requirement for registration as a Chartered IT Professional.

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The Advanced Practice version of this course offers you a valuable opportunity to deepen your knowledge and enhance employability in your specialist field. This will be through completing additional 60 credit Advanced Practice module after when you have completed 120 credits of taught modules. This module will provide experiential learning opportunities.

These can either be a 12-week work placement, group consultancy project, research group project, 12-week Professional Skills Practice, 12-week Enterprise Start Up or 12-week Multidisciplinary Innovation project.   This experience gives you the opportunity to apply skills and knowledge acquired during the taught part of your programme and to acquire new skills and knowledge in an alternative learning environment. Specific learning will be defined in a personal learning contract.