Artificial Intelligence and Data Analytics MSc (Online)
Learn How to Turn Complex Data into Insights
100% Online
24 months (part-time)
180 credits
4 starts per year
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Gain practical, industry-relevant AI and data analytics skills
- Apply By: 05/02/27
- Start: 01/03/27
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.
Programme benefits
- 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 the MSc Artificial Intelligence and Data Analytics programme
Click on each tab below to learn additional details regarding the programme requirements and features.
Curriculum
Gain the practical AI skills employers are looking for
9 modules plus final project
15-20 hours per week
Artificial intelligence and data are transforming every industry. This MSc equips you with the practical skills to collect, analyse, interpret, and apply data to solve real business challenges using AI and machine learning. Across a 180-credit curriculum, you’ll master the full AI and data lifecycle—from data preparation and programming to machine learning, visualisation, and responsible AI—while working with authentic datasets and project-based assessments that mirror professional practice.
Designed for ambitious professionals and career changers alike, the programme helps you build a portfolio of practical work that demonstrates your expertise to employers. Graduates are prepared for careers in AI, data analytics, machine learning, and related fields. While the programme is not a professional licensure or certification pathway, it provides a strong academic foundation for further study and a wide range of industry roles.
Build job-ready AI and data analytics expertise
Across nine eight-week modules, develop practical skills in AI, machine learning, Python, big data analytics, and data visualisation through hands-on, project-based learning.
Turn complex data into confident business decisions
Learn to collect, analyse, interpret, and communicate data that helps organisations solve problems, identify opportunities, and make evidence-based decisions.
Develop AI solutions responsibly
Build a strong understanding of data governance, privacy, ethical AI, and responsible innovation, including GDPR considerations, so you can apply AI with confidence and integrity.
Study around your life
Balance your studies with work and personal commitments by studying part-time for 15–20 hours per week, giving you the flexibility to progress your career without putting it on hold.
Entry criteria
Your pathway into AI and data careers
Application Deadline 05/02/27
Start Date 01/03/27
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.
| Online application form | Apply now |
|---|---|
| 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. |
Apply today
Review our admissions pages for more information on language criteria and how to apply.
AdmissionsFees & funding
Build your future with flexible tuition options
Invest in your future with flexible payment options. You can choose to pay in full or spread the cost across instalments for each module. All fee information is provided to help you make an informed decision.
| Total estimated cost | £12,500* |
|---|---|
| Cost per module | 9 payments of £1,200 and one final payment of £1,700 |
| Total number of credits | 180 |
| Other Costs to Budget For | The tuition fee includes access to the online learning platform, course materials, and required digital resources. Personal costs such as technical equipment, office supplies, travel, visas, and expenses related to optional residencies are not included. |
Fees and funding
We are excited to be offering discounts. Review our tuition and funding pages for more information.
Funding options
Prepare for a career in one of the world’s fastest-growing fields
Artificial intelligence and data analytics skills are in demand across technology, finance, healthcare, government, and countless other sectors. You’ll graduate with the practical experience to pursue roles including Data Analyst, Data Scientist, Machine Learning Engineer, AI Consultant, and Business Intelligence Analyst, supported by a portfolio of real-world projects that showcases your capabilities.
The UK AI sector employs more than 360,000 people and continues to grow rapidly, creating strong demand for professionals with advanced AI and data expertise.1
Explore careersWhat you’ll learn
Develop the practical AI and data analytics skills to turn complex data into meaningful business insights. Through hands-on projects, authentic datasets, and industry-relevant challenges, you’ll build the technical expertise and professional portfolio needed to solve real-world problems and showcase your capabilities to employers.
- Python programming and software development
- Data analytics and data-driven decision-making
- Machine learning and AI applications
- Big data processing and analysis
- Data visualisation and dashboard creation
- Database management, querying, and data handling
- Working with structured and unstructured data
- Image and text data processing
- Critical thinking, problem-solving, and analytical reasoning
- Communicating technical insights to non-technical audiences
Programme outcomes
- Understand the key concepts, theories, and technologies that power artificial intelligence and data analytics
- Apply AI, machine learning, and data analytics techniques to solve real-world problems
- Work with complex datasets to uncover insights and support data-driven decision-making
- Use industry-standard programming languages, tools, and frameworks to build intelligent, data-driven solutions
- Evaluate AI systems responsibly, considering ethics, privacy, bias, and regulatory requirements
- Critically assess different approaches to AI and data challenges and select the most effective solutions
- Communicate technical findings clearly and confidently to both technical and non-technical audiences
- Plan and deliver independent research and data analytics projects using professional project management approaches
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.
- 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.
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Source and disclaimer
- Department for Science, Innovation and Technology (2024). Artificial Intelligence sector study 2023. [online] GOV.UK. Available at: https://www.gov.uk/government/publications/artificial-intelligence-sector-study-2023/artificial-intelligence-sector-study-2023 [Accessed 15 July 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].