A production-first artificial intelligence degree that combines mathematical foundations, software engineering, machine learning, deep learning, model evaluation, responsible AI and research. The programme deliberately leaves advanced AI choices open so students can build a pathway around the systems they want to create.
360+ credits (minimum award threshold)1 matching listed module optionPrerequisite-driven progression
Award requirements
Required Core: Complete all 18 · 180 credits.
Advanced Choice: Choose at least 6 from 12 listed options · 60 credits.
Elective: Choose at least 3 from 24 listed options · 30 credits.
Applied Practice: Complete all 3 · 30 credits.
Capstone: Complete all 2 · 60 credits.
32 completed modules in the standard pathway. Additional approved study is permitted; listed options are not all compulsory.
Capstone expectation: A substantial AI system, deployed product or research artefact with reproducible evidence, explicit evaluation, security considerations, documented limitations and a formal defence.
Self-paced. Individual prerequisites, year/semester assignments and fixed durations are not specified in this catalogue. Cross-faculty selections require approval.
Explore modules ↗
UEL-117 / Elective
Automation, No-Code & Agentic Workflows
Credits
10
Programme requirement
Optional selection
Prerequisites
Prerequisites apply. Individual module prerequisite links and minimum marks are not specified in this catalogue.
A full-stack data degree combining statistical reasoning, analytics, data engineering, experimentation, machine learning and decision communication. Students master the common data-science core and then choose advanced topics that match their intended industry or research direction.
360+ credits (minimum award threshold)1 matching listed module optionPrerequisite-driven progression
Award requirements
Required Core: Complete all 18 · 180 credits.
Advanced Choice: Choose at least 6 from 12 listed options · 60 credits.
Elective: Choose at least 3 from 24 listed options · 30 credits.
Applied Practice: Complete all 3 · 30 credits.
Capstone: Complete all 2 · 60 credits.
32 completed modules in the standard pathway. Additional approved study is permitted; listed options are not all compulsory.
Capstone expectation: An end-to-end data product, causal study or applied research project with reproducible data lineage, justified methods, evaluation, stakeholder-facing outputs and a formal defence.
Self-paced. Individual prerequisites, year/semester assignments and fixed durations are not specified in this catalogue. Cross-faculty selections require approval.
Explore modules ↗
UEL-117 / Elective
Automation, No-Code & Agentic Workflows
Credits
10
Programme requirement
Optional selection
Prerequisites
Prerequisites apply. Individual module prerequisite links and minimum marks are not specified in this catalogue.
A practitioner-led cyber security degree covering systems, networks, offensive and defensive security, secure development, incident response, cloud security, threat intelligence and governance. Advanced choices allow students to lean toward red team, blue team, forensics, AI security or secure-systems engineering.
360+ credits (minimum award threshold)1 matching listed module optionPrerequisite-driven progression
Award requirements
Required Core: Complete all 18 · 180 credits.
Advanced Choice: Choose at least 6 from 12 listed options · 60 credits.
Elective: Choose at least 3 from 24 listed options · 30 credits.
Applied Practice: Complete all 3 · 30 credits.
Capstone: Complete all 2 · 60 credits.
32 completed modules in the standard pathway. Additional approved study is permitted; listed options are not all compulsory.
Capstone expectation: A controlled security engagement or secure-systems project with explicit authorisation, evidence preservation, technical findings, remediation guidance, executive reporting and a formal defence.
Self-paced. Individual prerequisites, year/semester assignments and fixed durations are not specified in this catalogue. Cross-faculty selections require approval.
Explore modules ↗
UEL-117 / Elective
Automation, No-Code & Agentic Workflows
Credits
10
Programme requirement
Optional selection
Prerequisites
Prerequisites apply. Individual module prerequisite links and minimum marks are not specified in this catalogue.
A systems-oriented software engineering degree focused on architecture, testing, distributed systems, cloud delivery, security and modern AI-assisted engineering. The common core establishes professional engineering discipline; advanced modules let students specialise in the kinds of systems they want to build.
360+ credits (minimum award threshold)1 matching listed module optionPrerequisite-driven progression
Award requirements
Required Core: Complete all 18 · 180 credits.
Advanced Choice: Choose at least 6 from 12 listed options · 60 credits.
Elective: Choose at least 3 from 24 listed options · 30 credits.
Applied Practice: Complete all 3 · 30 credits.
Capstone: Complete all 2 · 60 credits.
32 completed modules in the standard pathway. Additional approved study is permitted; listed options are not all compulsory.
Capstone expectation: A production-grade software system with architecture records, automated tests, CI/CD, observability, security controls, deployment evidence, maintainability documentation and a formal defence.
Self-paced. Individual prerequisites, year/semester assignments and fixed durations are not specified in this catalogue. Cross-faculty selections require approval.
Explore modules ↗
UEL-117 / Elective
Automation, No-Code & Agentic Workflows
Credits
10
Programme requirement
Optional selection
Prerequisites
Prerequisites apply. Individual module prerequisite links and minimum marks are not specified in this catalogue.
A cloud-native engineering degree covering Linux, networking, automation, containers, Kubernetes, infrastructure as code, observability, SRE, security and cloud economics. Advanced choices allow students to specialise in platform engineering, resilience, multi-cloud, AI infrastructure or security.
360+ credits (minimum award threshold)1 matching listed module optionPrerequisite-driven progression
Award requirements
Required Core: Complete all 18 · 180 credits.
Advanced Choice: Choose at least 6 from 12 listed options · 60 credits.
Elective: Choose at least 3 from 24 listed options · 30 credits.
Applied Practice: Complete all 3 · 30 credits.
Capstone: Complete all 2 · 60 credits.
32 completed modules in the standard pathway. Additional approved study is permitted; listed options are not all compulsory.
Capstone expectation: A production-style cloud platform with infrastructure as code, security controls, automated delivery, observability, reliability objectives, cost analysis, recovery evidence and a formal defence.
Self-paced. Individual prerequisites, year/semester assignments and fixed durations are not specified in this catalogue. Cross-faculty selections require approval.
Explore modules ↗
UEL-117 / Elective
Automation, No-Code & Agentic Workflows
Credits
10
Programme requirement
Optional selection
Prerequisites
Prerequisites apply. Individual module prerequisite links and minimum marks are not specified in this catalogue.
A mathematically rigorous computing degree that develops classical foundations before moving into quantum information, circuits, algorithms, noise, error correction and quantum software. Students can specialise toward algorithms, hardware, simulation, security or quantum machine learning.
360+ credits (minimum award threshold)1 matching listed module optionPrerequisite-driven progression
Award requirements
Required Core: Complete all 18 · 180 credits.
Advanced Choice: Choose at least 6 from 12 listed options · 60 credits.
Elective: Choose at least 3 from 24 listed options · 30 credits.
Applied Practice: Complete all 3 · 30 credits.
Capstone: Complete all 2 · 60 credits.
32 completed modules in the standard pathway. Additional approved study is permitted; listed options are not all compulsory.
Capstone expectation: A research or engineering project using simulators or accessible quantum hardware, with reproducible experiments, rigorous interpretation, limitations, technical documentation and a formal defence.
Self-paced. Individual prerequisites, year/semester assignments and fixed durations are not specified in this catalogue. Cross-faculty selections require approval.
Explore modules ↗
UEL-117 / Elective
Automation, No-Code & Agentic Workflows
Credits
10
Programme requirement
Optional selection
Prerequisites
Prerequisites apply. Individual module prerequisite links and minimum marks are not specified in this catalogue.
An integrated robotics and autonomy degree combining software, mathematics, mechanics, control, sensing, embedded systems, perception, localisation and planning. Students can specialise in autonomous vehicles, drones, manipulation, humanoids, swarm systems or learning-based robotics.
360+ credits (minimum award threshold)1 matching listed module optionPrerequisite-driven progression
Award requirements
Required Core: Complete all 18 · 180 credits.
Advanced Choice: Choose at least 6 from 12 listed options · 60 credits.
Elective: Choose at least 3 from 24 listed options · 30 credits.
Applied Practice: Complete all 3 · 30 credits.
Capstone: Complete all 2 · 60 credits.
32 completed modules in the standard pathway. Additional approved study is permitted; listed options are not all compulsory.
Capstone expectation: An integrated robotic or autonomous system with measurable requirements, simulation or physical evidence, safety analysis, evaluation, engineering documentation and a formal defence.
Self-paced. Individual prerequisites, year/semester assignments and fixed durations are not specified in this catalogue. Cross-faculty selections require approval.
Explore modules ↗
UEL-117 / Elective
Automation, No-Code & Agentic Workflows
Credits
10
Programme requirement
Optional selection
Prerequisites
Prerequisites apply. Individual module prerequisite links and minimum marks are not specified in this catalogue.
Entry, enrolment and progression remain subject to academic review. Recorded qualification levels describe the academic design and do not independently establish accreditation or jurisdiction-specific recognition.
A / AIAIUIdeas. Disciplines. Possibilities.Academic CatalogueEXPLORE YOUR NEXT CHAPTER
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AIAIU Academic Catalogue
Qualifications, modules and electives. Practical study and capstones, where recorded. Explore the credits, prerequisites and possibilities before you apply.