Artificial Intelligence for EngineeringMSc

谢菲尔德大学 · 2027/28课程信息 · QS 2027全球第82

核心信息

£34,550/年国际生学费
IELTS 6.5 (with 6 in each component)语言要求
1 year学制
MSc学位

说明:缺失字段不使用旧年或推断值。

课程概览

Artificial Intelligence (AI) is being integrated into many engineering disciplines, enabling self-training complex robotic systems, predictive maintenance of civil infrastructure and accelerated simulation tools. This MSc course will equip you with understanding of AI technologies and the skills to utilise them to solve engineering challenges across multiple disciplines. You will develop an extensive understanding of machine learning, autonomous agents, real-time intelligent systems and data science and modelling techniques. You'll be working hands-on with state-of-the-art hardware, software and data, and you'll have the opportunity to build a system from scratch using the specialist labs in the University. Optional modules to further develop your skills in areas that interest you include natural language processing, machine vision, professional issues in AI and autonomous systems such as driverless cars and un-crewed aerial systems (UAVs). In addition to taught modules, you will undertake an individual research project, working alongside world-class academics and using state-of-the-art facilities. The project provides an opportunity to apply your knowledge to a real engineering problem, often in collaboration with industry or research centres. Graduates from this programme are well-equipped to lead in the development and use of AI tools and systems across disciplines from automotive, industrial and aerospace to robotics, green energy and biotech. Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council (EC) as meeting the requirements for Further Learning for registration as a Chartered Engineer. You must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.

录取要求

Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules. We accept degrees in the following subject areas: We may also consider other related subjects. You should have studied at least one module from the following areas:

中国学生细分要求:官网待复核。

课程模块

核心模块

  • Modern Control & System Identification
  • Agent-Based Modelling and Multi-Agent Systems
  • Data Modelling and Machine Intelligence
  • Deep Learning
  • Data Science with Python
  • The Ethics of Artificial Intelligence
  • Individual Research Project

选修模块

  • Machine Vision
  • Advanced Control
  • Mobile Robotics and Autonomous Systems
  • Natural Language Processing
  • Multisensor and Decision Systems
  • Text Processing
  • Industrial Training Programme in Artificial Intelligence for Engineering

就业/职业信息

Our courses are shaped by strong industry connections and cutting-edge research. Our Industry Advisory Board - featuring representatives from leading companies across the sector - ensures our programmes remain globally competitive and aligned with evolving industry needs. Graduates from this course have gone on to work at major companies including Leonardo and Network Rail. They take up roles as software engineers, developers, AI researchers or data scientists. Some choose to pursue further study through research degrees. Throughout your studies, you'll have opportunities to attend industry talks, career fairs and networking events. You can also apply for additional mentorship through our Career Mentoring Scheme, which pairs students with alumni working in industry. OurCareers and Employability Serviceoffers a wide range of support, including drop-in sessions, workshops, webinars and events - focused on career planning, work experience, employer insights, CV writing, interview techniqu