Programme Type:

Course Overview

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

Why study this course at NTU?

This course builds on NTU’s experience of upskilling major employers in the region in the areas of data analytics and data science. Our previous experience in work-based learning prepared graduates to take innovative roles in the rapidly changing Data Science industry.

Studying takes place in our purpose-built ISTeC building, where you will have access to our specialist Data Science teaching facility and 3D imagery lab.

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.

Entry Requirement 

Academic Requirements:

  • A UK honors 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.
  • Applicants with relevant employment experience or other relevant qualifications will also be considered.
  • We accept qualifications from schools, colleges, and universities all over the world for entry onto our UG and PG degrees.

Fees

UK Student Fee

Full-time: £8500

Full-time with placement year: £8500 + £1385

Part-time: £4250

International Student Fee

Full-time: £15500

Full-time with placement year: £15500 + £1385

Part-time: £7750*


This information was accurate on : 31/03/2021
Please contact us for more information about this courses

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