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Course summary

**Please note that the information provided relates to the current academic year and is subject to change without notice by Sheffield Hallam University. Please check the Sheffield Hallam University website for the latest information.** Course summary

  • Learn practical skills in developing artificial intelligence (AI) and machine learning systems.
  • Become knowledgeable of the latest developments in AI and be able to confidently advise organisations on their application and best practice.
  • Learn how to apply the latest AI concepts and technologies to solve problems in IT and other disciplines.
  • Develop a competitive advantage for organisations by leveraging the latest AI thinking and technologies.
Artificial Intelligence encompasses the theory and development of computer systems able to perform tasks that normally require human intelligence. The course teaches you how AI systems can be built using rigorous development methods and deployed in a variety of different environments. You'll graduate with the skills that mark you as a specialist in your field and with a competitive advantage for employers. 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. You learn through ‘doing’, as part of our commitment to applied learning. You'll put into practice AI concepts and technologies, using problem-based approaches, and exams will be used to assess your theoretical knowledge. You learn through
  • Lectures
  • Practical tutorials/labs
  • Working in teams
  • Formative assessments
  • Structured walkthroughs and presentations
This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar. Applied learning - Live Projects You will have the opportunity to work on real, research and industry-based projects supplied by external partners or emulated industry case studies. These will challenge you to apply what you are learning to solve real world problems. Networking Opportunities The teaching team make use of their research and industry connections for the inclusion of real work scenarios and case studies within the teaching materials of many of the modules. Future careers This course prepares you for a career as a:
  • Developer/AI Professional, building new AI systems to solve problems in a wide range of industries.
  • Data mining analyst, using artificial intelligence to provide insights into data for organisations.
  • Robotics programmer, creating new services with AI technologies embedded into the robotic systems.
  • Machine Learning Engineer, designing new AI systems that can take actions without being directed.

Modules

Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances. Compulsory modules Ai Research And Development Projects Applied Artificial Intelligence Artificial Intelligence Seminar Series Cognitive Systems And Robotics Deep Neural Networks And Learning Systems Machine Learning And Computer Vision Research Skills And Dissertation


Entry requirements

First degree in a relevant subject area, including (but not limited to) Computer Science, Software Engineering, Games Programming. Applicants with a first degree in another technical computing field will also be considered. First degree classification of 2:2 or above. We would also consider applicants with relevant and substantial industry experience in software engineering or software development in leu of a relevant first degree. If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.


English language requirements

If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.

https://www.shu.ac.uk/courses/computing/msc-artificial-intelligence/full-time/

https://www.shu.ac.uk/courses/computing/msc-artificial-intelligence/full-time/


Fees and funding

Tuition fees

Channel Islands £9910 Whole course
England £9910 Whole course
Northern Ireland £9910 Whole course
Scotland £9910 Whole course
Wales £9910 Whole course
Republic of Ireland £9910 Whole course
EU £16385 Whole course
International £16385 Whole course

Additional fee information

Our tuition fee for UK students starting full-time study in 2023/24 is £9,910 for the course. Our tuition fee for International/EU students starting full-time study in 2023/24 is £16,385 for the course. Up to £11,222 available for Home students on most masters courses. † If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found in our terms and conditions under student fees regulations.
Artificial Intelligence at Sheffield Hallam University - UCAS