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PhD

Data Science

Focusses on data-driven decision-making, predictive modelling, machine learning, and artificial intelligence

Duration

4 years

Intake Month

Sep & May

Mode of Study

Full Time

Overview

The PhD programme in Data Science is designed to equip professionals with an extensive understanding of data science principles, methodologies, and applications. In an era marked by rapid growth of data across various domains, this programme focuses on advancing knowledge in data-driven decision-making, predictive modelling, machine learning, and artificial intelligence. With an emphasis on rigorous research, the programme instils advanced knowledge grounded in mathematics, enabling students to contribute to industry innovation and acquire leadership roles within the field. The PhD programme provides students with a solid foundation in subject-specific knowledge and offers training for doctoral researchers through a variety of modules and research workshops. A supervisory team comprising experienced researchers offers diverse perspectives and expertise to support students, complemented by a community of peers and learning hub facilities provided at Emirates Aviation University (EAU).

Programme key features:

Programme Outline

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Programme Fees

Tuition Fees 1
85000

1Tuition Fees inclusive of VAT 5%

The highest quality in aviation education

Ministry of Higher Education & Scientific Research, UAE
Ministry of Higher Education & Scientific Research, UAE
The Knowledge and Human Development Authority (KHDA), Dubai
The Knowledge and Human Development Authority (KHDA), Dubai
Quality Assurance Agency for Higher Education, UK
Quality Assurance Agency for Higher Education, UK
The Emirates Group
The Emirates Group
Bahrain Airport Company
Bahrain Airport Company
flydubai
flydubai
RTA
RTA
Air Arabia
Air Arabia
Al Futtaim Group
Al Futtaim Group
Lufthansa Technik Middle East
Lufthansa Technik Middle East
DEWA
DEWA
Airbus
Airbus
Etihad Airways
Etihad Airways
Dubai Aerospace Enterprice
Dubai Aerospace Enterprice
Dubai Police
Dubai Police
Dubai Airports
Dubai Airports
Malaysia Airlines
Malaysia Airlines
Mubadala
Mubadala
Saudi Air Navigation Services
Saudi Air Navigation Services
Bombardier Aerospace
Bombardier Aerospace
Coventry University - UK
Coventry University - UK
Concordia University - Canada
Concordia University - Canada
The University of Manchester - UK
The University of Manchester - UK
The American University in Dubai
The American University in Dubai
Kings College London
Kings College London
The American University in Sharjah
The American University in Sharjah
The University of Melbourne - Australia
The University of Melbourne - Australia

What to Expect

EAU provides exceptional education and research opportunities in Data Science, preparing students for success in data-driven decision-making, predictive modelling, machine learning, and artificial intelligence. The university offers an experienced faculty, a multinational student body, and a purpose-built campus in the heart of Dubai, ensuring a vibrant learning environment.

PhD students in Data Science will collaborate with distinguished faculty proficient in big data, data science, artificial intelligence, mathematics, and statistics, bringing expertise from top academic institutions and industries worldwide. EAU's faculty commitment to research, in collaboration with academic institutions, government organizations, and industry, provides an ideal environment for candidates to acquire cutting-edge knowledge and develop their research interests.

Candidates will receive excellent supervision and access to a full range of research workshops and resources, supporting their development as postgraduate researchers.

Your EAU advantage

Our programmes provide you with the essential skills and knowledge required to succeed in your chosen specialisation and the aviation industry in general.

Future career opportunities

Completion of the PhD in Data Science programme offers diverse career opportunities for professionals. Equipped with advanced skills and qualifications, graduates will contribute across academia, industry research, government agencies, and technology companies. With expertise in data-driven decision-making, predictive modelling, and machine learning, graduates will drive innovation across a spectrum of fields, including finance, healthcare, marketing, telecommunications, transportation, energy, education, and government policy.

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