MSc Artificial Intelligence

Year of Entry 2024/25
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Artificial Intelligence

Full-time Computing

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

Everything you need to know...

  • Pound sign

    What is the fee?

    Home: £10,310 per year
    International/EU: £17,205 per year

  • Time

    How long will I study?

    1 Year

  • Location

    Where will I study?

    City Campus

  • Date

    When do I start?

    September 2024
    January 2025

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.

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How you learn

Your lecturer’s view
Watch senior lecturer Márjory Da Costa-Abreu talk about the MSc Artificial Intelligence course.

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.

Course leaders and tutors

Jing Wang
Jing Wang

I am engaged in research and teaching in the field of computer science and software engineering.

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.

Where will I study?

You study at City Campus through a structured mix of lectures, seminars and practical sessions as well as access to digital and online resources to support your learning.

City Campus

City Campus is located in the heart of Sheffield, within minutes of the train and bus stations.

City Campus map | City Campus tour 

City Campus map

Howard Street
S1 1WB

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Adsetts library

Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.

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Equipment and facilities

On this course you work with

  • IT laboratories equipped with high-spec computers and AI hardware accelerators.
  • State-of-the-art-machine learning software and application development environments.
  • Specialist facilities for research, including some of the most-advanced robotics platforms.

Entry requirements

All students

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.

Additional information for EU/International students

If you are an International or non-UK European student, you can find out more about the country specific qualifications we accept on our international qualifications page.

For details of English language entry requirements (IELTS), please see the information for 'All students'.

Modules studied may differ depending on when you start your course.


Important notice: The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described above. Following any changes, updated module information will be published on this page.

Modules studied may differ depending on when you start your course.

Final year

Compulsory modules

Ai Research And Development Projects
Credits 45
Assessment Coursework(100%)
Applied Artificial Intelligence
Credits 15
Assessment Coursework(100%)
Artificial Intelligence Seminar Series
Credits 15
Assessment Practical(100%)
Cognitive Systems And Robotics
Credits 15
Assessment Coursework(100%)
Deep Neural Networks And Learning Systems
Credits 15
Assessment Coursework(100%)
Dissertation For Computing
Credits 45
Assessment Coursework(100%)
Machine Learning And Computer Vision
Credits 15
Assessment Coursework(100%)
Research Skills For Computing
Credits 15
Assessment Coursework(100%)

Fees and funding

Home students

Our tuition fee for UK students starting full-time study in 2024/25 is £10,310 for the course.

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.

International students

Our tuition fee for International/EU students starting full-time study in 2024/25 is £17,205 for the course.

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Postgraduate student loans

Up to £11,222 available for Home students on most masters courses.

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Additional course costs

This link allows you to view estimated costs associated with the main activities on specific courses. These are estimates and, as such, are only an indication of additional course costs. Actual costs can vary greatly depending on the choices you make during your course.

Additional costs for Computing courses (PDF, 330.6KB)

Legal information

Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.


How do I apply?

You apply for this course via our online application form.

You can also use the application form above to apply for future years of entry.

Not ready to apply just yet?

Why not come to our next open day? Open days are the perfect place to talk to staff and students, visit our campuses and get all the information you need. Alternatively, feel free to ask us a question.

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Why choose us?

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We are Gold rated in the Teaching Excellence Framework (TEF) for the outstanding quality of our teaching and student outcomes

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We guarantee to find you an affordable place to live that’s close to campus and comes with all bills included

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95% of our UK graduates are in work or further study 15 months after graduating (2020/21 Graduate Outcomes Survey)

Where next?

Find out more about Sheffield Hallam's postgraduate opportunities and community.

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You can chat to teaching and admissions staff, view our facilities and learn more about your funding options.

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Information for international students

Information for international students including entry requirements by country and funding.

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