Artificial Intelligence
Advance your computing career with artificial intelligence. Develop practical expertise in machine learning, deep learning and data modelling at ARU in Cambridge.
in the region for postgraduates progressing into senior roles.
Source: Graduate Outcomes Survey 2026
If you’re already working in computing, mathematics, or data analysis, this course will equip you with the practical AI skills employers are looking for.
You’ll learn about machine learning algorithms, neural computing, deep learning, and Natural Language Processing (NLP), and discover how to analyse data, develop intelligent models, and create AI-powered solutions that improve systems, solve complex problems and support innovation across industries.
Before starting the course, we strongly recommended that you have basic programming knowledge of Python for Machine Learning.
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Hear more about our MSc Artificial Intelligence from Course Leader Dr Arooj Fatima.
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![Dr Arooj Fatima addressing the camera, sitting in an IT lab]()
Hear more about our MSc Artificial Intelligence from Course Leader Dr Arooj Fatima.
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Master machine learning algorithms, neural computing, deep learning and Natural Language Processing (NLP)
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Build practical skills using real-world datasets
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Study in Cambridge’s ‘Silicon Fen’ and connect with leading tech employers
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Prepare for high-demand careers in machine learning, AI learning, data analysis and modelling
Study at an award-winning university
We were named Times Higher Education University of the Year 2023. We've also been awarded a Gold rating in the Teaching Excellence Framework – a reflection of the outstanding education we offer our students.
Careers
Gain in-demand skills at the forefront of computing.
As organisations across every sector adopt AI technologies, demand is growing for professionals with expertise in machine learning, data analysis and intelligent systems. This course prepares you for careers in AI, data science, software development and technology consultancy, equipping you with practical skills to help organisations innovate, automate processes and solve complex real-world challenges.
Graduation doesn’t have to be the end of your time with us. You could choose to continue your academic career with a research programme at ARU, such as our PhD in Computer Science or a Professional Doctorate in Science and Technology. Take advantage of our Alumni Scholarship and save £400 on your fees.
Teaching and modules
Gain the knowledge and practical skills needed to understand, develop, and apply modern AI and data science techniques.
You’ll develop a strong foundation in semantic data technologies, learning how to structure and integrate semantic data, develop ontological models, and build intelligent applications that extract insights, support data-driven decision-making, and create value from complex datasets.
You'll also explore machine learning, neural computing, and deep learning, examining how these techniques are applied to large-scale data across diverse domains, including the physical and biological sciences, finance, and the social sciences.
You'll complete your Master's with a Major Project, researching an AI topic of your choice that matches your interests and career ambitions, applying advanced AI methods, and demonstrating your ability to address a significant research or industry problem independently.
Modules are subject to change and availability, and may vary by location. If you have the choice of optional modules, these are indicated with a *.
- Semantic Data Technologies (30 credits)
- Advanced Machine Learning (30 credits)
- Research Methods (15 credits)
- Applications of Machine Learning (15 credits)
- Neural Computing and Deep Learning (30 credits)
- Postgraduate Major Project (60 credits)
- Into ARU
You can choose to study with us over two years (full-time), and take Professional Experience modules (2x project modules or 2x placement modules) in Year 2, with a Preparation for Professional Experience module in Year 1. You'll also complete your Postgraduate Major Project (60 credits) in Year 2.
- Postgraduate Major Project (60 credits)
- Professional Experience Computing Project 1 (60 credits) *
- Professional Placement 1 (Computing and Information Science) (60 credits) *
- Professional Experience Computing Project 2 (60 credits) *
- Professional Placement 2 (Computing and Information Science) (60 credits) *
Read profiles of teaching and research staff on this course.
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Dr Arooj FatimaSenior Lecturer
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Dr Imran AhmedSenior Lecturer
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Dr Lakshmi Babu SaheerAssociate Professor
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Dr Jin ZhangDeputy Head of School
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Dr Raj Mani ShuklaSenior Lecturer
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Dr Cristina LucaAssociate Professor
Facilities
Enjoy a range of facilities designed to support your studies and career development.
In our dedicated computer labs and skills spaces, you'll have access to specialist hardware, software and online resources including:
- Cisco devices
- Intel's AI Academy data processing resources
- Microsoft Imagine Premium's professional tools
- AWS Academy resources
You'll have extensive library and IT resources, and careers support through our Employability Service. After you graduate, you’ll have lifelong access to our Alumni Career Centre.
You can also access support, should you need it, with study skills, health and wellbeing, and more.