Full time & Part time September MSc 1 year full time, 2 years part time, 2 years part time with 1 year work placement

About the course

This course covers the fundamentals of Data Science including Big Data infrastructure, AI and statistical analysis and the mining of data. Development of your understanding of deriving value from the data analytics functions is also a focus of this course.

You will learn how to support organisations in improving their data capture, management and analysis processes with a focus on efficiency and profit, whilst adhering to the current highest ethical standards.

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Entry Requirements

UK honours degree (minimum 2.2) or equivalent in a technical or scientific subject, which includes, but is not limited to, sport science, biomedical, economics, information systems and multimedia. Other subjects will be considered on a case-by-case basis.
Applicants with relevant employment experience or other relevant qualifications will also be considered.

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As there is a growing need in the UK for data science experts we’ve secured funding of £498,245 from the UK Department for Digital, Culture, Media and Sport (DCMS) and the Office for Students to support the development of this course and funding for scholarships. Please see the fees and funding section for more information on our current scholarships: https://www.ntu.ac.uk/study-and-courses/academic-schools/science-and-technology?utm_medium=Profile&utm_term=SAT&utm_content=DataScience&utm_source=FindAMasters&utm_campaign=SAT-Profiles

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