Master of Science in Artificial Intelligence

Sheffield Hallam University - City Campus

UK,England

 0 Shortlist

12 Months

Duration

CAD 17,205/year

Tuition Fee

CAD 0 FREE

Application Fee

Sep 2025

Apply Date

UK, England

Type: University

Location Type: Urban

Founded: 1992

Total Students: 30,000 +

Int. Students: 3,000 +

Campus Detail

Main Campus Address

Howard St, Sheffield City Centre, Sheffield S1 1WB, United Kingdom

Master of Science in Artificial Intelligence

Program Overview

Develop practical skills in the exciting and fast-moving field of artificial intelligence and machine learning, on this academic and industry-led applied course.

  • 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

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