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African Future 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
Tuition is free. Examinations are free. There is no exam fee. Study from anywhere in the world.
| Code | Course | Credits · hours |
|---|---|---|
| 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 · hours |
|---|---|---|
| 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.
|
| Code | Course | Credits · hours |
|---|---|---|
| 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.
|
Modules are assessed through a published mix of coursework, applied projects, and examinations. Exam windows are announced in advance so students in other time zones are not forced into overnight sittings. Alternative arrangements are available where documented.
The published duration is 24 months. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.
This is a fully online award. You study from your country. No student visa and no campus relocation are required.
Degree tuition for this award is published as £0 / tuition-free on the online pathway. Examination or administrative fees may apply at checkout — never an annual tuition invoice. Check the Fees page for any extras.
Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.
Assessment is typically a mix of coursework, projects, and examinations. Doctoral awards include a thesis or dissertation and an oral examination. Details sit in the programme specification and module outlines.
Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. African Future University publishes verification pages for certificates. We do not claim automatic equivalence in every country.
Start an application on this website. Progress is saved from the first step. Admissions: admissions@afutureuni.com.
Recognised & Accredited
| 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 |
| 3 |
| AI603 | MSc Artificial Intelligence Capstone Project End-to-end AI system with reproducible experiments, evaluation suite and stakeholder report.
| 6 |