Everything you need to know...
International/EU: £14,895 per year
- 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.
Come to an open day
Find out more at our postgraduate open days. Book now for your place.
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
- Practical tutorials/labs
- Working in teams
- Formative assessments
- Structured walkthroughs and presentations
Course leaders and tutors
Sergio Davies,MSc Eng, PhD, MIET, MIEEE, FHEA, Senior lecturer
Your lecturer's view
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.
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.
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 is located in the heart of Sheffield, within minutes of the train and bus stations.
Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.Learn more
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.
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. You can also watch a video guide on how to apply.
For details of English language entry requirements (IELTS), please see the information for 'All students'.
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.
|Module: Ai Research And Development Projects||Credits: 45||
|Module: Applied Artificial Intelligence||Credits: 15||
|Module: Artificial Intelligence Seminar Series||Credits: 15||
|Module: Cognitive Systems And Robotics||Credits: 15||
|Module: Deep Neural Networks And Learning Systems||Credits: 15||
|Module: Machine Learning And Computer Vision||Credits: 15||
|Module: Research Skills And Dissertation||Credits: 60||
Fees and funding
Our tuition fee for UK students starting full-time study in 2022/23 is £8,745 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.
Our tuition fee for International/EU students starting full-time study in 2022/23 is £14,895.
Postgraduate student loans
Up to £11,222 available for Home students on most masters courses.
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, 246.1KB)
Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.