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Build trustworthy intelligent systems from research to production
Online only
GlobalMind University's MSc Artificial Intelligence develops the mathematical, algorithmic and systems competencies required of modern AI practitioners. You will progress from probability and classical learning through deep architectures, language models, vision and sequential decision-making, finishing with MLOps evaluation and governance. Lab work uses contemporary Python toolchains and structured peer review. The capstone produces a documented AI system with performance, safety and monitoring artefacts suitable for industrial or research scrutiny — not a demo notebook alone.
The curriculum aligns with the technical depth expected at leading research universities and industry AI labs, with explicit attention to the UK GDPR, EU AI Act literacy and model documentation practices (model cards, data sheets). Optional GPU compute is available for distinction-level projects. Pathway exists into the PhD Data Science for outstanding graduates.
Faculty spotlight
Dr. Yuki Tanaka leads representation learning research; Professor James Okello supervises responsible NLP for low-resource languages.
Study online
Every programme can be completed fully online with zero tuition fees — study from anywhere in the world.
| Code | Course | Credits |
|---|---|---|
| AI501 | Mathematics & Probability for AI Linear algebra, multivariable calculus, probability and optimisation foundations for modern ML.
| 3 |
| AI502 | Machine Learning Theory & Practice Supervised and unsupervised learning with rigorous evaluation methodology.
| 3 |
| AI503 | Programming Intelligent Systems (Python) Idiomatic Python, scientific computing and software engineering for ML projects.
| 3 |
| AI504 | Data Engineering for ML Pipelines Data quality, feature stores, pipelines and labelling for reliable ML systems.
| 3 |
| Code | Course | Credits |
|---|---|---|
| AI505 | Deep Learning & Representation Learning Neural architectures, training dynamics and modern representation learning.
| 3 |
| AI506 | Natural Language Processing & Large Language Models From classical NLP to LLMs: fine-tuning, evaluation and application design.
| 3 |
| AI507 | Computer Vision & Multimodal AI Vision systems and multimodal models linking images, text and signals.
| 3 |
| AI508 | Reinforcement Learning & Sequential Decision Making MDPs, policy learning and sequential decision systems under uncertainty.
| 3 |
| Code | Course | Credits |
|---|---|---|
| AI601 | MLOps, Evaluation & Production AI Systems Shipping and operating models with monitoring, drift detection and CI/CD for ML.
| 3 |
| AI602 | Responsible AI, Safety & Governance Fairness, privacy, security and organisational governance for AI systems.
| 3 |
| AI603 | MSc Artificial Intelligence Capstone Project End-to-end AI system with reproducible experiments, evaluation suite and stakeholder report.
| 6 |
Recognised & Accredited
