Loughborough University, England

PhD in Social-aware mobile system optimization based on machine learning

Loughborough, United Kingdom 3 years Taught in English Open to international students

Why students choose this program

  • Taught in English
  • No application fee
  • Applications currently open

About PhD in Social-aware mobile system optimization based on machine learning

At Loughborough University, England, tuition fees are 34,261 USD per year, while applications for the Oct 2026 intake are due by Sep 6, 2026.

This PhD program in Social-aware mobile system optimization based on machine learning is for students with a Master's degree, offered at Loughborough University in England, and takes 3 years to complete. It helps students develop skills in machine learning and system design.

The curriculum focuses on project details, investigating emerging research topics to exploit users’ social trust information in forming secure and robust mobile networks. Students will learn about reinforcement learning to obtain new data transmission schemes and satisfy users’ QoS requirements in trust-aware networks.

Graduates of this program can pursue careers as Mobile Network Architects, Data Security Specialists, Machine Learning Engineers, Network Designers, or Cybersecurity Consultants, working in industries like telecommunications, cybersecurity, or tech.

About Loughborough University, England

Loughborough University presents a learner-focused environment with extensive academic and campus resources tailored to international students. The institution highlights modern campus facilities, strong research and teaching support, and a wide-ranging library collection that supports coursework and independent study. Students benefit from well-equipped laboratories, collaborative study spaces and a library designed to meet the demands of diverse academic programs.

The university promotes a vibrant campus life through many clubs, societies and sports opportunities, encouraging students to balance academic work with extracurricular engagement. Student organizations cover arts, entrepreneurship, sports and cultural exchange, providing platforms for leadership, networking and social integration. On-campus catering, leisure facilities and landscaped areas create a welcoming atmosphere for study and relaxation.

International opportunities and partnerships enhance global mobility and employability, with pathways for study abroad, industry links and internship experiences that connect students with multinational employers. Teaching is delivered in modern facilities across multiple campuses, and student services support orientation, accommodation and academic success. Overall, this university aims to combine strong academic provision with an active campus community to prepare graduates for global careers.

English Test Requirement

This program asks for IELTS 8.0+. Here's what that's worth on the other tests universities accept, based on the official concordance tables:

Duolingo

English Test · fastest & cheapest

140–150

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TOEFL iBT
110–114
PTE Academic
79–82
CEFR level
C1
Convert your own score

Equivalences are approximate — confirm the exact test and score the program accepts.

PhD in Social-aware mobile system optimization based on machine learning: Frequently Asked Questions

What are the fees for PhD in Social-aware mobile system optimization based on machine learning?
Tuition: USD 34,260.69 per year. Service fee: USD 8.
What are the entry requirements for PhD in Social-aware mobile system optimization based on machine learning?
Entry requirements include: Education: Master's Degree; Academic performance: Grade A (70%+, GPA 3+); English: IELTS 8.0+; Minimum age: 18.
How long is the PhD in Social-aware mobile system optimization based on machine learning program?
The program duration is 3 year.
What is the application deadline?
The application deadline is 2026-09-06.
Is PhD in Social-aware mobile system optimization based on machine learning available online?
This is an on-campus program at Loughborough University, England in Loughborough.

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