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MSc Big Data and Data Science Technology

Course Overview

The demand for data scientists is ever rising. A report by Harvard Business Review suggests that the shortage of data scientists has become a serious constraint in certain sectors, leading the authors to claim Data Scientist as the Sexiest Job of the 21st Century. Data Scientists carry out applied research to create innovative data-driven solutions to business problems. Usually, they work with large, complex, varied, and unstructured data sets that are not suitable for using traditional data analysis approaches and techniques. This programme is specifically designed to enable you to develop this in-depth technical knowledge that will allow you to discover new data-driven solutions.

WHAT WILL I STUDY?

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.
Modules

All modules on this course are core and 20 credits unless otherwise stated.

Advanced Practice stage

You will choose one of the following modules:

Entry Requirements

Entry requirements: Minimum 2:2 honours degree, or equivalent in any subject English language requirements: IELTS 6.5, with no single element below 5.5, or equivalent

Funding Options

PC
QANORTH
Notes

How to Apply​

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Loans and Grants

You may be able to get student finance to help towards your living costs fee while you’re at university or college and tuition.

Refer a Friend Scheme

When you help a friend enroll on a degree course with  our Refer a Friend scheme, you will receive a £200 referral fee per successfully enrolled referral.