Artificial Intelligence and Data Analytics Online MSc/PGDip/PGCert
Deepen your expertise in AI and data analytics
Apply By: 5th February 2027
Start: 1st March 2027
Harness the power of artificial intelligence and data to solve tomorrow’s challenges with Goldsmith’s, University of London’s online MSc/PGDip/PGCert in Artificial Intelligence and Data Analytics. Through project-based learning, authentic datasets, and hands-on experience with machine learning and data analytics, you’ll develop the technical expertise and critical perspective to transform complex data into meaningful, real-world insights. Graduate with a professional portfolio showcasing your expertise and confidence in applying AI responsibly across industries.
100% online
2 years (part-time)
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Complete the form below for detailed programme and pricing information, and to be contacted by phone and email.
Build practical AI expertise for a data-driven world
Master the full AI and data lifecycle through a 180-credit curriculum spanning data preparation, machine learning, visualisation, and responsible AI. Working with authentic datasets and real-world projects, you’ll tackle complex challenges while building a professional portfolio that showcases your expertise.
Study on terms that work for you
Achieve your goals without putting life on hold. Study part-time (15-20 hours per week) to shape your learning around your priorities, with the flexibility to move forward in a way that works for you.
Prepare for the future of AI-driven careers
Organisations across every sector are looking for professionals who can combine technical expertise with critical thinking to solve increasingly complex challenges. Build the skills to pursue opportunities across technology, healthcare, finance, government, research, and the creative industries.
Explore potential career paths
Data Analyst £65,751 per year1
Data Scientist £80,081 per year2
Entry criteria
This programme is designed for curious problem-solvers looking to combine technical expertise with critical thinking to shape the future of artificial intelligence and data analytics.
| Degree | Typically, applicants hold a 2:1 bachelor’s degree (or equivalent) in a STEM or relevant quantitative subject. Applicants with substantial professional experience may also be considered. |
|---|---|
| Language criteria | If English is not your first language, you’ll usually need an IELTS overall score of 6.5 (with no band below 6.0). In some cases, this may be waived based on prior study, supporting access for a global cohort. |
Fees & funding
Invest in your future with a total tuition of £12,500 (2026-27). You can pay in full or in instalments of £1,200 per module, and £1,700 for the Final Project.
Meet your faculty
Our expert team brings 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.
- Learn from active practitioners working across AI, computational arts, music, design and interactive media
- Study with Goldsmiths faculty leading research in creative technology and human-centred AI
- Benefit from studio-style teaching informed by real-world creative and cultural industries
- Develop your practice through collaborative learning, mentorship and personalised academic support
- Join a globally recognised creative community known for innovation in arts, media and computing
Dr Basel Barakat, Programme Convenor, AI and Data Analytics
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 in applied research on 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 extensively, and he teaches across AI and data science modules while supervising postgraduate research.
Dr Devakunchari Ramalingam, Programme Convenor, AI and Data Analytics
Dr Devakunchari Ramalingam
Dr Devakunchari is an academic and researcher in AI and data analytics whose work focuses on big data analytics for online social networks. She has extensive experience with leading big data platforms, including Apache Hadoop and Apache Spark, and works with tools such as Apache Flume, Hive, Pig, and NoSQL databases like HBase and MongoDB. Her expertise spans data mining, cloud databases, machine learning, and social network analysis, and she brings this practical, research-led perspective directly into her teaching.
A legacy of excellence
Part of the prestigious University of London, Goldsmiths is recognised as one of the UK’s leading institutions promoting creative and analytical thinking, and equipping students to leverage and respond to the emerging trends in various fields.
- Top 10 university in London (Complete University Guide 2025)
- Leading university for creativity, culture, and critical thinking
- Future-focused curriculum reflecting social, cultural, and educational change
- Global alumni community of over 93,000 students from 160 countries
About Goldsmiths, University of London
At Goldsmiths, different isn’t just what we do – it’s who we are. Here, visionaries are inspired to explore, create, and challenge the world around them. We ignite curiosity, champion individuality, and empower students to turn bold ideas into lasting change. As part of the University of London, Goldsmiths celebrates 120 years of fearlessness and global excellence across the arts, technology, and social sciences.
Online learning experience
Studying online blends flexibility with an immersive, interactive experience. Built with the latest technology and delivered through Moodle, it offers engaging individual and group activities, videos, and direct connections with lecturers and peers. At Goldsmiths, online study fosters creativity, collaboration, and personalised learning.
Sources and disclaimer
- ERI Economic Research Institute (2026). Data Analyst in the United Kingdom (2026). [online] SalaryExpert. Available at: https://www.salaryexpert.com/salary/. [Accessed 23 June 2026].
- ERI Economic Research Institute (2026). Data Scientist in the United Kingdom (2026). [online] SalaryExpert. Available at: https://www.salaryexpert.com/. [Accessed 23 June 2026].
*Programme fees are reviewed annually and are subject to change each academic year. The fees listed above are for the academic year [2026-27].