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PhD in Big Data Analytics for Industrial Application
Cranfield University

Student rating
(3.6)

Find out more about studying PhD in Big Data Analytics for Industrial Application at Cranfield University? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.

Different course options

DATA SOURCE:
UNISTATS, UCAS
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Qualification

PhD/DPhil - Doctor of Philosophy

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Location

Cranfield Campus

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Study mode

Full Time

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Start date

Jun 2027

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Duration

3 Year

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Course info

This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens, unknown correlation, and other useful information for diagnosis and prognosis solutions which leads to enhance reliability, maintainability and readiness of the selected system. Big Data analytics has attracted intense interest from both academia and industry recently for its attempt to extract more useful information and knowledge from Big Data. Big Data analytics will help to develop more advance diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine leaning exists as the most promising technologies of big data analytics in industrial problems. The student will have the opportunity to work with experts in the data analytics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University.

Tuition fees
Student living
£5,006 per year
Students from Domestic

DATA SOURCE:
UCAS / IDP Connect

Uni info

Cranfield University
College RoadCranfieldMK43 0ALUnited Kingdom