Build practical data science and AI skills through hands-on projects. Learn data analytics, preparation and visualisation, classic machine learning (supervised and unsupervised learning, SVMs, random forests), deep learning (neural networks, CNNs, autoencoders, data augmentation), and natural language processing. Graduate with a portfolio that shows what you can do — not just what you know.
A structured, project-based curriculum designed to build Data Science & AI skills—from Python and SQL to machine learning—in as few as 12 weeks (full-time) or 24 weeks (part-time).
SQL, Python, Jupyter Notebook, Git and GitHub, linear algebra, probability and statistics
Data analysis, data preparation, data visualisation and data exploration
Supervised and unsupervised learning, model improvement, Naive Bayes, SVM, Random Forests, ML pipelines and classification
Neural networks (implementation, troubleshooting & optimisation), CNNs, autoencoders, data augmentation, TensorFlow, Keras and scikit-learn
Text processing for NLP, RNN/LSTM, attention mechanisms, transformers, and chatbot building
You don’t need any prior qualifications in computer science or programming to join our bootcamp. We start with the essentials and support you through the pre-work and live modules, so you can build confidence quickly. Whether you’re new to data or upskilling into Data Science & AI, you’ll be guided throughout the programme.
Showcase your skills with real results. Throughout your course, you’ll complete hands-on projects based on real-world scenarios. By the end, you’ll have a professional portfolio that demonstrates your strengths and helps you stand out.
Learn with guidance from industry professionals. You’ll get personalised feedback on your projects, support while you learn, and practical insights to help you build confidence as you progress.
Follow a structured path designed for steady progress. Each course includes clear learning objectives, skill milestones, and project deliverables — so you always know what’s next and why it matters.
