Sheffield Hallam University is one of the UK-s largest and most popular universities in the UK with a community of above 30,000 students, 4,000 staff, and more than 280,000 alumni worldwide.
As the most progressive university, teaching, research, and collaborations of Sheffield Hallam University are accompanied by a spotlight on real-world impact for contending contemporary health, economic and social challenges. Sheffield Hallam University is based in Sheffield, South Yorkshire, England, and offers 708 courses.
Sheffield Hallam University is one of the UK-s largest contributors to health and social care courses, teacher training, and computing sport and physical activity courses. Sheffield Hallam University-s courses are intended for deliberation with industry professionals and offer possibilities for undertaking internships and consultancy projects.
Sheffield Hallam University provides international student support with a dedicated International Experience. Research at Sheffield Hallam University is a world-leading or internationally excellent and in the UK top ten for research impact in Planning, Sport, and Art & Design.
Sheffield Hallam University collaborated with the Association of Commonwealth universities. Sheffield Hallam University-s research emphasizes authorizing healthier lives, constructing stronger communities, and directing future economies.
Address: Howard St, Sheffield City Centre, Sheffield S1 1WB, United Kingdom
Phone: +44 114 225 5555
Email: enquiries@shu.ac.uk
Website: https://www.shu.ac.uk/
• MSc Computer Science
• MSc Artificial Intelligence
• MSc Data Science
• MSc Cyber Security
• MSc Software Engineering
• MSc Human-Computer Interaction
• MSc Computer Vision and Robotics
• MSc Advanced Computer Science
• PhD Computer Science
• PhD Artificial Intelligence
• PhD Data Science
• PhD Cyber Security
• PhD Software Engineering
• PhD Human-Computer Interaction
• PhD Computer Vision and Robotics
• PhD Advanced Computer Science
Sheffield Hallam University in the UK is renowned for its leading research in the area of computer science and its research themes include
• Big Data and Data Science
• Computer Vision and Robotics
• Human-Computer Interaction
• Network Security and Cryptography
• Software Engineering
• Computer Architecture and Embedded Systems
• Computer Graphics and Games Technology
• Natural Language Processing
• Computational Intelligence
• High Performance Computing
• Ad-hoc and sensor networks
• Robotics
• Machine intelligence
• Conceptual structures
• Visualization
• Games and Virtual Reality
• Cybersecurity & Edge System Protection
A list of the Computer science research areas with research topics at Sheffield Halman University in the UK are
• Artificial Intelligence: Machine Learning, Natural Language Processing, Computer Vision, Robotics.
• Data Science: Big Data, Data Mining, Data Visualization, Data Analytics.
• Security: Cybersecurity, Cryptography, Network Security.
• Software Engineering: Software Design, Software Architecture, Software Verification and Validation, Software Quality Assurance.
• Human-Computer Interaction: Interaction Design, User Experience, Usability Testing, Accessibility.
• Computer Architecture: Embedded Systems, Computer Networks, Network Protocols, Distributed Computing.
• Operating Systems: Operating System Design, Operating System Security, Operating System Performance.
• Programming Languages: Compilers, Programming Language Design, Programming Language Syntax, Programming Language Semantics.
• Algorithms: Algorithm Design, Algorithm Analysis, Algorithm Optimization.
• Computer Graphics: Image Processing, Computer Animation, Computer Vision.
• Robotics: Neuro-Developmental Robotics and Socially Assistive Robotics.
• Cybersecurity & Edge System Protection: Internet of Medical Things (IoMT), IoT solutions in the supply chain, Ambient sensing systems, and IoT-based solutions for Smart Homes and Smart Cities.
• Intelligent Systems Research Group
• The Human-Computer Interaction Research Group
• Visual Computing Research Group
• The Vision, Image, and Signal Processing Research Group
• The Language and Speech Processing Research Group
• Robotics and Autonomous Systems Group
• Networked Systems Group
• Information Security Group
• Software Engineering Group
• Algorithms and Complexity Group
• Computer Architecture Group
• High Performance Computing Group
• Digital Health and Wellbeing Research Group
• Digital Humanities Research Group
• The Computer Science Scholarship
• The Sheffield Hallam University Scholarship
• The British Computer Society Scholarship
• The University of Sheffield Computer Science Scholarship
• The Microsoft Scholarship
• The Oracle Scholarship
• The Google Scholarship
• The IBM Scholarship
• The Hewlett Packard Scholarship
• The Dell Scholarship
• EPSRC Doctoral Training Partnership
• Faculty of Engineering Doctoral Training Centre
• SHU Research Scholarship
• Sheffield Scholarship
• Royal Academy of Engineering Research Fellowship
• Leverhulme Trust Doctoral Scholarship
• University of Sheffield Postgraduate Research Scholarship
• Alan Turing Institute Doctoral Training Programme
• Department for Work and Pensions Scholarship
• Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Grants
Funded projects for computer science at Sheffield Hallam University in the UK
• Autonomous vehicle navigation and control using deep learning and machine vision techniques.
• Medical diagnosis, drug development, and patient care.
• Development and implementation of smart city technologies, such as smart energy, transportation systems, and health monitoring.
• Industrial and agricultural automation
• Medical assistance
• Development of secure systems and network
• Developing methods for preventing and mitigating cyber-attacks.
The process of admission to Sheffield Hallam University in the UK for PhD programs may differ based on the specific program and department
• To apply, applicants must need to submit the following documents:
• Completed application form
• A personal statement
• A research proposal
• Academic transcripts
• Two reference letters
• English language proficiency evidence
• CV
• Copies of any relevant research papers or publications
