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MSc Big Data and Data Science Technology with Advanced Practice

  • DeadlineStudy Details:

    16-24 months

Masters Degree Description

To accelerate your learning, you will be exposed to theories, methods, tools, and technologies (including SQL, 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.

Entry Requirements

Minimum 2:2 honours degree, or equivalent in any subject

Fees

See website for fees.

Student Destinations

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

Module Details

Advanced Practice stage

You will choose one of the following modules:

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