Overview
This 'Big Data' Analytics for Industrial Application programme offered by Cranfield University investigates the development, evaluation, and demonstration of analytical solutions for extensive datasets generated within aerospace and manufacturing systems. The research aims to uncover hidden patterns, unknown correlations, and other useful information that can support diagnosis and prognosis activities, ultimately enhancing reliability, maintainability, and readiness.
Key Facts
The project explores the application of computational learning techniques to industrial data and examines how analytics can contribute to improved maintenance decision-making. Students work alongside specialists in data analytics and condition monitoring within Cranfield University's Integrated Vehicle Health Management (IVHM) Centre, benefiting from a collaborative research environment supported by academic, industrial, and applied research activities.Programme Structure
Curriculum:
- Big Data Analytics
- Data Analytics
- Machine Learning
- Diagnosis
- Prognosis
- Reliability
- Maintainability
- Readiness
- Maintenance Decision Making
Key information
Duration
- Full-time
- 36 months
Start dates & application deadlines
Language
IELTS & PTE Test Preparation
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- Live classes with current and ex-examiners
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Delivered
Campus Location
- Cranfield, United Kingdom
Disciplines
Data Science & Big Data View 30 other PhDs in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average.
- The potential to engage in innovative research and to complete the PhD within a three-year period of study.
- A minimum IELTS overall score of 6.5.
- Excellent analytical, reporting and communication skills.
- Self-motivated, independent and able to work as part of a team.
- Genuine enthusiasm for the subject and technology.
- Willingness to publish research findings in international journals.
Tuition Fees
-
International Applies to you
Applies to youNon-residents23525 GBP / year≈ 23525 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents5238 GBP / year≈ 5238 GBP / year
Living costs
Cranfield
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for 'Big Data' Analytics for Industrial Application.
Available Scholarships
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