Faculty

Faculty of Artificial Intelligence & Data Science

From data foundations to deployed, governed AI systems.

Students move from data preparation and analysis to supervised and unsupervised learning, evaluation, generative AI and production deployment. Advanced study covers monitoring, drift, model documentation and responsible AI governance — particularly important where models influence credit, fraud or hiring decisions. All work is assessed through practical builds and written justification of modelling choices.

Focus areas

Data preparation and quality
Analytics and business intelligence
Machine learning and evaluation
Generative AI and prompt engineering
Responsible AI and model governance

Where graduates go

Data analyst
Machine learning practitioner
AI product analyst
Business intelligence developer

Curriculum pathway

Three levels, each with its own aim, entry expectations and assessed outcomes.

Level 1 — Data Foundations

Typically 8 weeks

Work confidently with data, spreadsheets, SQL and basic analysis.

Assessed outcomes

Assess and improve data quality
Query data with SQL
Communicate findings clearly

Entry expectations

Open to all.

Programmes at this level

Data Analytics & Business Intelligence

Turn complex data into governed analysis, decision-ready dashboards and defensible business recommendations.

8 weeks · 48 hours

Free to enrol

Prompt Engineering & Applied Generative AI

Design, evaluate and operate prompts and agentic AI workflows for real business use.

6 weeks · 36 hours

Free to enrol

Level 2 — Applied Analytics & Machine Learning

Typically 9 weeks

Build, evaluate and explain models and analytical products.

Assessed outcomes

Train and evaluate supervised models
Design dashboards that drive decisions
Explain model limitations honestly

Entry expectations

Completion of Level 1 or analytical experience.

Programmes at this level

AI & Applied Machine Learning

Build, evaluate and responsibly deploy machine-learning systems through a rigorous applied programme.

9 weeks · 54 hours

Free to enrol

Level 3 — Production AI & Model Governance

Typically 10 weeks

Deploy, monitor and govern models in regulated environments.

Assessed outcomes

Deploy and monitor a model in production
Document a model for governance review
Apply responsible AI controls to a decisioning use case

Entry expectations

Completion of Level 2.

Programmes at this level

Programmes for this level are being written and will appear here once published and rights-verified.