核心信息
说明：缺失字段不使用旧年或推断值。
课程概览
Cybersecurity is vital in today’s digital landscape, due to the rising global threats to data and systems, with in-depth knowledge in security sub-areas such as cryptography, AI security, forensics security and secure software development, extremely valuable. AI has made great strides in recent years. It underpins many tools and technologies on which we will become increasingly reliant. This is a comprehensive course designed to equip you with both theoretical knowledge and practical skills, in key areas such as cryptography, network security, penetration testing, and digital forensics, as well as the foundations of machine learning and applications in natural language processing, which underpins technologies such as ChatGPT and DeepSeek. This programme is ideal for students with a good first degree in a numerate discipline, who are keen on acquiring a solid understanding of today’s cybersecurity threats and mechanisms for mitigating them in a data-driven manner. In addition to taught modules incorporating individual and group work, a third of your study time will be devoted to an individual dissertation, where you will work closely with an academic staff member to carry out a piece of work on topics that include cybersecurity and/or AI, such as AI-based cryptanalysis or discovering covert channels via machine learning. The course's research components will develop your analytical and problem-solving skills, preparing you for doctoral studies or research-focused roles in industry. This course is accredited by the British Computer Society (BCS). The course partially meets the requirements for Chartered Information Technology Professional (CITP) and partially meets the requirements for Chartered Engineer (CEng). This degree is certified by the National Cyber Security Centre (NCSC).
录取要求
Minimum 2:1 undergraduate honours degree in a relevant subject. We accept degrees in the following subject areas: We may also be able to consider degrees in the following areas, depending on your experience of software systems development: We assess each application on the basis of the applicant’s preparation and achievement as a whole. We may accept applicants whose qualifications don’t meet the published entry criteria but have other experience relevant to the course.
中国学生细分要求：官网待复核。
课程模块
核心模块
- Scalable Machine Learning
- Fundamental Security Properties and Mechanisms
- Development of Secure Software
- Cyber Threat Hunting and Digital Forensics
- Security of Control and Embedded Systems
- Text Processing
- Machine Learning and Adaptive Intelligence
- Natural Language Processing
- Cybersecurity and AI Dissertation Project
就业/职业信息
Computer science programmes at the University of Sheffield will empower you to navigate the ever-changing field of computer science. You will develop the skills necessary to push the boundaries of current knowledge and shape the future digital landscape. Your future career is in safe hands with one of our degrees – Sheffield is among the best in the UK for computer science. Our graduates are highly sought-after across a diverse range of industries: software engineering, data science, cybersecurity, web or mobile development, IT and Digital consultancy and emerging fields such as Artificial Intelligence and cloud computing. Roles our alumni have gone on to include software developer, data analyst, full stack software engineer, game programmer, QA developer, Java programmer and technical lead. Many of our recent graduates are at major companies, including Google, Amazon, IBM, Oracle, Huawei, Cisco Systems, Office for National Statistics, BBC, Barclays and Morgan Stanley. Some decide to u