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Artificial Intelligence at Sheffield Hallam University - UCAS

Course options

2024 - 20252025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

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. Modules studied may differ depending on when you start your course. Compulsory modules Ai Research And Development Projects Applied Artificial Intelligence Artificial Intelligence Seminar Series Cognitive Systems And Robotics Deep Neural Networks And Learning Systems Dissertation For Computing Machine Learning And Computer Vision Research Skills For Computing

Assessment method

Coursework, practical.

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

TestGradeAdditional details
IELTS (Academic)6If 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.

Please click the following link to find out more about English language requirements for this course

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

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Our postgraduate fees vary depending on course, level and mode of study. Each postgraduate course page tells you how much the tuition fees are, and what additional costs you might have to budget for during your studies. Please refer to our website for up-to-date information on costs and fees for both full-time and part-time postgraduate study options.

Sponsorship information

Scholarships, discounts and bursaries may be available to students who study this course.

Artificial Intelligence at Sheffield Hallam University - UCAS