MSc
- nine taught modules (15 credits each): £1,650 per module
- project module fee (45 credits): £2,000
Length
MSc: two to four years
PGCert: eight to 16 months
Start dates
January, March, May, July, September, November
Fees 2023/24
MSc: £15,000
PGCert: £5,800
Typical entry requirements
A bachelor degree with a First or 2:1(Hons) in any mathematical or highly numerate discipline where relevant subject areas have been studied.
Full entry requirements.
Delivered 100% online, our Artificial Intelligence course offers you the most up-to-date artificial intelligence knowledge that speaks directly to the skills that employers are actively seeking within the AI development sector. With our premium online course, you’ll join a global network of professionals interacting in virtual social spaces and live sessions with our expert academics.
This course is designed specifically for you if you are:
- Looking to reskill to enter the AI developer profession.
- Looking to upskill in order to develop, manage or plan AI solutions within your current organisation.
- Seeking a route to higher level study to develop academic prowess further within this field.
What can the course do for you?
This online Artificial Intelligence course will give you a state-of-the-art understanding of AI, and highly practical skills and expertise in the construction of AI systems, including those that integrate multiple modalities. This will give you the creativity to develop AI solutions to real-world problems, as well as softer employability skills such as being able to communicate complex, technical information to non-technical stakeholders, collaboration and teamworking and presentation skills.
This will give you the confidence and knowledge to pursue a role in industry or the public-sector, where you may help to build, specify, recommend and critique AI systems, creating a range of career opportunities such as:
- AI (Software) Engineer
- Machine Learning Engineer
- Business Intelligence Developer
- Data Engineer
- AI Researcher
- Data Scientist
- Computational Statistician
- User Experience Specialist
Why choose Leeds?
- At the School of Computing, part of the Faculty of Engineering and Physical Sciences, 99% of the submitted computing research activity is rated as either “world-leading” or “internationally excellent”, with 63% rated as “world-leading” (REF 2021).
- Our specialist Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care focuses on the innovative technologies in the field of Artificial Intelligence. It gives us strong research capability in this fast-paced discipline of AI.
The Artificial Intelligence course is designed and delivered completely online by computer scientists specifically for professionals who recognise the importance of AI to their sector. The content blends industry knowledge into an academic curriculum, speaking to skills that employers are actively seeking. This enables you to develop your AI skills across a variety of industries and gives you a tailored online learning experience equivalent to on-campus courses.
Ready to register interest?Course details
Our cutting-edge course allows you to specialise your intelligence, regardless of your sector. This Masters in Artificial Intelligence is one of few courses that is purely AI-focused, covering an extensive range of AI, Robotics and Machine Learning tools and techniques.
All the modules on the course speak directly to the skills that employers are actively seeking within the AI development sector. From building students’ skills in Python programming, to the fundamental techniques of computer programming, and the core machine learning and data science knowledge that underpins many AI applications, this course exposed you to the most in-demand topics within AI.
Typical modules*
- Programming for Data Science (15 credits).
- Data Science (15 credits).
- Decision Making for Engineering Managers (15 credits).
- Algorithms (15 credits).
- Machine Learning (15 credits).
- Knowledge Representation and Reasoning (15 credits).
- Ethics of Artificial Intelligence (15 credits).
- Deep Learning (15 credits).
- Data Mining and Text Analytics (15 credits).
- Robotics (15 credits).
- Artificial Intelligence Project (45 credits).
- Machine Learning (15 credits).
- Knowledge Representation and Reasoning (15 credits).
- Ethics of Artificial Intelligence (15 credits).
- Deep Learning (15 credits).
- Data Mining and Text Analyticsg (15 credits).
- Robotics (15 credits).
*Please note, modules are reviewed annually and may change in subsequent academic years. Postgraduate Certificate modules involve a smaller selection of those listed above.
You can choose from two options
We offer a Masters and a Postgraduate Certificate course in Artificial Intelligence.
- Our Masters provides in-depth knowledge on AI applicable to a variety of sectors. Ideal for developing AI solutions to the real world in your current role to address a work-related challenge.
- The Postgraduate Certificate is a gateway to the full Masters. Ideal for: quickly progressing or upskilling.
Both awards are taught at the same academic level, and cover the same core modules: Programming for Data Science, Data Science, and Algorithms.
Fees and funding
The fee is composed of (which can be paid on a module-by-module basis*):
PGCert
- four taught modules (15 credits each): £1,500 per module
*If your fees are being paid directly to the University by your employer or sponsor you will not be able to pay on a module-by-module basis.
Entry requirements
A First or 2.1 (hons) bachelor degree in any mathematical or highly numerate discipline where relevant subject areas have been studied.
If you hold a 2.2 (hons) bachelor degree in any mathematical discipline, we’ll consider your application if you have at least three years of relevant work experience in a professional environment.
If you hold a First or 2.1 (hons) bachelor degree in a non-mathematical discipline, we’ll consider your application if you have at least three years of relevant work experience in a related professional environment.
Exceptionally, we will also consider applications from professionally qualified and experienced candidates who do not meet the formal requirements.
We accept a range of international equivalent qualifications. For information please complete the form on this page.
All applicants will need to have GCSE English language at grade C or above, or an appropriate equivalent English language qualification.
In exceptional circumstances applicants can provide alternative proof of English language proficiency rather than a standard English test. This will be assessed on a case-by-case basis. You should discuss the criteria with your Enrolment Advisor to see if this can be considered.
English language requirements
IELTS 6.5 overall, with no less than 6.0 in any component.
Course perspectives
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Dr Abdulrahman Altahhan
Programme Lead in Artificial Intelligence“Our online Artificial Intelligence course will equip you with extensive exposure to all aspects of AI, including machine learning, deep learning, and reinforcement learning. We focus on Python as the primary development language for AI which will support you with libraries such as Sklearn, Pytorch, TensorFlow, Keras, Pandas, Numpy and many more. The course is well-rounded, and its objectives and learning outcomes are aligned with in-demand industry skills to help you become a master of AI.” -
Amine Salameh
University of Leeds online studentThe University of Leeds virtual learning environment provides a great interface with the module tutors and the students, as well as clear guidance on assessments. What really stands out for me is the course content; it truly will give me an edge in my practical work. -
Professor Eric Atwell
Programme Lead“Throughout the course, our team of high-profile academics will create an exceptional study experience guided by industry knowledge and research. You will see the importance of Artificial Intelligence and its impact on industries across the world. The breadth of expertise represented in the Artificial Intelligence MSc course will give you an understanding of complex technologies such as Robotics and Algorithms, as well as the strategy behind AI.”