Course summary
This course allows you to undertake research into areas such as sensor networks, data mining, biometrics, self-adaptive systems, authentication and authorisation, software development process, text analysis, assistive technology, robotics, machine intelligence, conceptual structures, human-computer interaction, computer vision, the Internet of Things and visualisation.
These research areas lead ground-breaking research projects in developing world-leading algorithms to solve complex computational problems such as fake news detection on social media networks, improving software development practises and exploring the learning of numbers using robotic hands.
How you learn
All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive.
Your supervisory team will include a Director of Studies and one or more second supervisors with expertise and interest in your research area. However, much of the work for your degree will be carried out independently, and you will need the initiative, motivation and commitment to succeed.
Your supervisors will help you to define your research programme, agree any associated training requirements, and provide direction while encouraging you to develop as an independent researcher.
You learn through
Future careers
This course prepares you for a career in
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Octubre 2022
City Campus
Howard Street,
Sheffield,
S1 1WB, England
Puede haber diferentes requisitos de IELTS en función del curso elegido.
Enseñanza en la Sheffield Hallam por expertos y apasionados en sus materias que comparten sus conocimientos y experiencia de la industria.