Artificial Intelligence and Machine Learning MSc (Online)
Lead the future of intelligent technology
100% online
24 months (part-time)
180 credits
3 starts per year
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Master the skills to build and deploy real-world AI solutions
- Apply By: 22/05/26
- Start: 08/06/26
Dive into the world of intelligent systems and transform ideas into solutions with the online Artificial Intelligence and Machine Learning MSc/PGDip/PGCert. Delivered through the prestigious School of Computing, you can expect to get stuck into practical projects and industry-focused training that goes beyond the traditional classroom to develop graduates with the ethical insight, creativity, and critical thinking needed in a rapidly evolving tech landscape.
Programme details
- Join one of the UK’s leading institutions for creative code
- Learn from decorated faculty with real-world AI expertise
- Explore ethical AI and responsible innovation
- Benefit from flexible entry and exit routes designed for lifelong progression
More information about this programme
Click on each tab below to learn additional details regarding the programme requirements and features.
Curriculum
A curriculum that builds in-demand expertise
180 total credits
10 courses including the final project
In convenient online modules, you’ll engage with a diverse group of peers to build your knowledge from foundational concepts right the way through to advanced technical expertise in areas such as Machine Learning, Deep Learning, Natural Language Processing (NLP), Machine Learning Operations (MLOps), and Computer Vision. Study a leading AI and machine learning curriculum that provides a deep focus on application over theory, as well as the opportunity to tailor your learning with electives that focus on research, production level engineering or creative practice.
What you’ll learn
Applied AI and Machine Learning Expertise
This programme will teach you how to apply advanced AI and machine learning techniques to analyse data, design intelligent systems, and solve real-world problems using industry-standard tools.
Critical, Ethical & Responsible AI Practice
You’ll learn how to critically evaluate models and algorithms whilst integrating ethical, fair, and transparent AI practices that consider societal impact.
Professional Communication and Collaboration
Perfect your ability to communicate complex technical insights to diverse audiences and work collaboratively on applied projects, demonstrating creativity, leadership, and adaptability.
Entry criteria
Start your journey in AI and machine learning
3 intakes per year
Flexible routes to entry
We welcome applicants who are passionate about technology and are driven to innovate. Our admissions process is designed to be straightforward, with clear entry and exit routes. While a background in computer science or a related field is beneficial, it’s not required. We evaluate candidates holistically, considering professional experience and a demonstrated aptitude for quantitative analysis. For typical entry to this programme, we require you to have either:
- A BSc Degree at level 2:1 (or equivalent) in a science, technology, engineering, mathematical or other relevant quantitative subject.
- A BSc Degree at level 2:2 (or equivalent) in a quantitative subject and at least 2 years of relevant professional experience.
If you do not meet standard entry criteria, we may accept applications with a lower degree and significant work experience. Alternatively, we may recommend joining the PGCert in AI and machine learning in the first instance. Contact us to learn more.
English language proficiency requirement
If English is not your first language, you will need to supply an up-to-date English language test certificate. We accept IELTS certificates with an overall score of 6.5 and no less than 6.0 in any band. Alternative test certificates are also accepted, and exemptions can be made. Please contact us to find out more.
Apply today
Review our admissions pages for more information on language criteria and how to apply.
AdmissionsFees & funding
Tuition fee details
The estimated total cost of this programme is £16,000 GBP for the full MSc. You can pay in full or in instalments of £1,600 every module, and £1,600 for the Final Project. All costs are listed to help you make an informed decision.
Programme fees are reviewed annually and are subject to change each academic year. The fees listed above are for academic year 2025-26.
Fees and Funding
We are excited to be offering discounts. Review our tuition and funding pages for more information.
Funding options
Advance your career in a high growth field
An MSc in Artificial Intelligence and Machine Learning offers significant career advantages by equipping you with full-stack AI capabilities and a prestigious qualification that acts as a competitive differentiator in the job market. Once qualified, you will be joining an industry with exceptional market demand, and the opportunity to tap into diverse high-salary roles across sectors, including finance, healthcare, transportation, and entertainment.
Explore careers paths in AI and machine learning
AI Engineer £57,000 per year1
Machine Learning Engineer £57,000 per year2
What you’ll learn
Upon completion, you’ll have a comprehensive skillset to create sophisticated AI and machine learning solutions. You’ll be well equipped to critically evaluate algorithms, manage complex data pipelines, and apply ethical principles to your work.
Programme outcomes
- Train machine learning models for real-world applications
- Apply deep learning techniques to solve problems in computer vision and language
- Evaluate the ethical and social implications of AI systems
- Manage and process large-scale datasets for analysis
- Communicate technical findings to diverse audiences
Meet your faculty
Our expert faculty members bring a wealth of knowledge and diverse perspectives to your learning experience. From AI and data science to creative coding, their shared commitment to innovation and excellence creates an empowering academic environment.
Dr. Basel Barakat, Head of Computer Science & AI Subject Area
Dr. Basel Barakat
Dr. Barakat is a lecturer in Computing at Goldsmiths, specialising in AI, machine learning, IoT systems and real-time communication networks. He holds a PhD in real-time communication systems and works across applied research in sustainable energy, ethical AI and healthcare forecasting. His recent projects include AI-powered carbon-intensity prediction for electric vehicle charging and an NHS-funded machine learning initiative to enhance the prescription process. Dr. Barakat has published vast works, and he teaches across AI and data science modules while supervising postgraduate research.
Related programmes
Sources
- Glassdoor, “AI Engineer Salaries UK.” Nov 27, 2025. From https://www.glassdoor.co.uk/Salaries/ai-engineer-salary-SRCH_KO0,11.htm.
- Glassdoor, “Machine Learning Engineer Salaries UK.” Nov 27, 2025. From https://www.glassdoor.co.uk/Salaries/machine-learning-engineer-salary-SRCH_KO0,25.htm.