核心信息
说明：缺失字段不使用旧年或推断值。
课程概览
Artificial Intelligence (AI) impacts many aspects of our lives, from life-style choices to healthcare, advanced engineering and self-driving vehicles. The study of the foundations of AI is multi-disciplinary, incorporating aspects of computer science, mathematics/statistics, psychology and in terms of its impact and application, natural, physical and social sciences. This course is designed for students with a numerate background (for example, an undergraduate degree in mathematics, economics, engineering, physics or chemistry) as well as graduates already working in industry. During the course, you’ll explore a range of topics, covering both theoretical and practical aspects of AI. The programme consists of lectures, practical work and an individual dissertation project, in which you undertake a significant AI-themed research project under the supervision of a member of staff. An essential part of AI is ‘learning from data’ and the programme will include training on software development for the analysis of data, or on robust data analysis methodologies to cope with missing or corrupted data. At the end of the course, graduates will be prepared for work in a wide variety of jobs in which comprehensive knowledge and understanding of AI is required. 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).
录取要求
Minimum 2:1 undergraduate honours degree in any subject with relevant modules. You should have studied at least one Mathematics module and one programming module (eg Python / Java / C++ / MATLAB). 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. If required degree subjects and modules are listed, these are indicative only. Sometimes we may accept subjects or modules that aren’t listed, and sometimes we may not accept subjects or modules that are listed, depending on the content studied.
中国学生细分要求：官网待复核。
课程模块
核心模块
- Scalable Machine Learning
- Text Processing
- Machine Learning and Adaptive Intelligence
- Natural Language Processing
- Professional Issues
- Team Software Project
- Data Science with Python
- Artificial Intelligence Dissertation Project
选修模块
- Modelling and Simulation of Natural Systems
- Network Performance Analysis
- Parallel Computing with Graphical Processing Units (GPUs)
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