BSC-AI01
Undergraduate
BSc Artificial Intelligence Engineering
360+ creditsExplore
An independent path. An exacting standard.
Learn your way.
Prove what you can do.
Alchemist International Artificial Intelligence University
THE PROGRAMME COLLECTIONAIAIU / EXPLORE
Find your next dimension.
BSC-DS02
Undergraduate
BSc Data Science
360+ creditsExplore
BSC-CS03
Undergraduate
BSc Cyber Security
360+ creditsExplore
BSC-SE04
Undergraduate
BSc Software Engineering
360+ creditsExplore
BSC-CD05
Undergraduate
BSc Cloud & DevOps Engineering
360+ creditsExplore
BSC-QC06
Undergraduate
BSc Quantum Computing
360+ creditsExplore
BSC-RA07
Undergraduate
BSc Robotics & Autonomous Systems
360+ creditsExplore
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BSc Artificial Intelligence Engineering
A production-first artificial intelligence degree that combines mathematical foundations, software engineering, machine learning, deep learning, model evaluation, responsible...
Sample modules
- AI-301 Computer Vision
- AI-302 Natural Language Processing
- AI-303 Foundation Models
Applied practice & capstone
- AI-L401 Cloud AI Systems Lab
- AI-C501 AI Capstone I: Architecture, Proposal & Prototype
- AI-C502 AI Capstone II: Production, Evaluation & Defence
IN FOCUS / UNDERGRADUATE
BSc Data Science
A full-stack data degree combining statistical reasoning, analytics, data engineering, experimentation, machine learning and decision communication. Students master the common...
Sample modules
- DAT-301 NLP & Text Mining
- DAT-302 Bayesian Modelling
- DAT-303 Recommender Systems
Applied practice & capstone
- DAT-L401 Cloud Data Platform Lab
- DAT-C501 Data Science Capstone I: Research Design & Prototype
- DAT-C502 Data Science Capstone II: Production, Analysis & Defence
IN FOCUS / UNDERGRADUATE
BSc Cyber Security
A practitioner-led cyber security degree covering systems, networks, offensive and defensive security, secure development, incident response, cloud security, threat...
Sample modules
- SEC-301 Red Team Operations
- SEC-302 Exploit Development & Vulnerability Research
- SEC-303 Advanced Threat Hunting
Applied practice & capstone
- SEC-L401 Offensive / Defensive Security Lab
- SEC-C501 Cyber Capstone I: Scope, Threat Model & Test Plan
- SEC-C502 Cyber Capstone II: Red/Blue Exercise & Defence
IN FOCUS / UNDERGRADUATE
BSc Software Engineering
A systems-oriented software engineering degree focused on architecture, testing, distributed systems, cloud delivery, security and modern AI-assisted engineering. The common...
Sample modules
- CSC-401 Microservices & Event-Driven Systems
- CSC-402 Cross-Platform Mobile Engineering
- CSC-403 Programming Languages & Compilers
Applied practice & capstone
- CSC-L501 Production Product Build Lab
- CSC-C601 Software Capstone I: Architecture & Prototype
- CSC-C602 Software Capstone II: Production System & Defence
IN FOCUS / UNDERGRADUATE
BSc Cloud & DevOps Engineering
A cloud-native engineering degree covering Linux, networking, automation, containers, Kubernetes, infrastructure as code, observability, SRE, security and cloud economics....
Sample modules
- CLD-301 Platform Engineering
- CLD-302 GitOps at Scale
- CLD-303 Multi-Cloud Architecture
Applied practice & capstone
- CLD-L401 Cloud Architecture & Automation Lab
- CLD-C501 Cloud Capstone I: Architecture, IaC & Reliability Plan
- CLD-C502 Cloud Capstone II: Operated Platform & Defence
IN FOCUS / UNDERGRADUATE
BSc Quantum Computing
A mathematically rigorous computing degree that develops classical foundations before moving into quantum information, circuits, algorithms, noise, error correction and quantum...
Sample modules
- QTM-301 Variational Quantum Algorithms
- QTM-302 Quantum Machine Learning
- QTM-303 Quantum Simulation
Applied practice & capstone
- QTM-L401 Quantum Programming Lab
- QTM-C501 Quantum Capstone I: Research Question & Experimental Design
- QTM-C502 Quantum Capstone II: Implementation, Results & Defence
IN FOCUS / UNDERGRADUATE
BSc Robotics & Autonomous Systems
An integrated robotics and autonomy degree combining software, mathematics, mechanics, control, sensing, embedded systems, perception, localisation and planning. Students can...
Sample modules
- ROB-301 Autonomous Vehicle Systems
- ROB-302 Uncrewed Aerial Systems & Drones
- ROB-303 Reinforcement Learning for Robotics
Applied practice & capstone
- ROB-L401 Robotics Integration Lab
- ROB-C501 Robotics Capstone I: System Design & Prototype
- ROB-C502 Robotics Capstone II: Integrated Autonomous System & Defence
7 undergraduate disciplines in official catalogue portfolio order. Explore all 11 qualifications in the directory.
Build understanding. Put it to work. Demonstrate your competence through evidence you can explain and defend.
Your learning methods are flexible. The academic standard is not.
Competence-based progressionStudent-owned evidenceAI assistance, by choice
AIAIU AT A GLANCE
A world of
possibility.
From the current official 2026 catalogue.
- Qualifications
- 11
- Distinct modules
- 307
- Elective modules
- 64
- Modules titled Lab
- 16
- Capstone modules
- 14
- Learning agents
- 7
Electives: 24 university-wide and 40 masters options. Advanced major choices are counted separately in programme requirements. Lab count uses exact module titles; the catalogue has 21 applied-practice modules.
YOUR READING. A DEEPER CONVERSATION.
An idea on the page.
A new way to see it.
Read, question and connect the dots with a learning copilot that uses your authorized academic context.
01 / Read02 / Question03 / Understand
- AI Tutor
- AI Professor
- Socratic Coach
- Quiz Coach
- Study Coach
- Concept Explainer
- Research Mentor
EXAMPLE READER CONTEXT
DAT-302 · Bayesian Modelling
Illustrative coursebook · Page 1
StudentExplain this more simply.
AI TutorStart with the central idea. How would you explain it in your own words? We can build from there.
Illustration, not a live response. Page text is available only for authorized, clean, indexed coursebook editions. AI availability and credits apply. Assessment help supports reasoning, not completed answers.
THE PATH FROM KNOWING TO DOING
Not just learned.
Demonstrated.
Different ways to learn. One academic standard.
01LEARN
1 / 5
-
01 / LEARN
Make the material your own.
Study official coursebooks, explore resources and connect ideas through independent investigation.
Turns automatically · use arrows, dots or ← → keys
IDEAS YOU CAN PUT TO WORK
Inside the curriculum.
AI-305
Agentic AI Systems
Advanced choice · 10 credits
DAT-302Bayesian Modelling
Advanced choice · 10 credits
SEC-310Cloud Red Teaming & Defence
Advanced choice · 10 credits
CSC-405AI-Assisted Software Engineering
Advanced choice · 10 credits
CLD-309AI Infrastructure & MLOps Platforms
Advanced choice · 10 credits
QTM-302Quantum Machine Learning
Advanced choice · 10 credits
ROB-308Advanced Sensor Fusion
Advanced choice · 10 credits
MSCAI-703Foundation Models & Agentic Systems
Required core · 15 credits
MSCDS-702Causal Inference & Experimental Design
Required core · 15 credits
MSCCS-703Threat Intelligence, Attribution & Detection Research
Required core · 15 credits
MSCSE-701Distributed Systems Engineering at Scale
Required core · 15 credits
UEL-117Automation, No-Code & Agentic Workflows
Elective · 10 credits
Selected across all seven BSc disciplines, four MSc programmes and the university elective pool. Swipe or use the controls to explore.
A / AIAIUIdeas.
Disciplines.
Possibilities.Academic
CatalogueEXPLORE YOUR NEXT CHAPTER
Disciplines.
Possibilities.Academic
CatalogueEXPLORE YOUR NEXT CHAPTER
Catalogue presentation · Illustrative cover
Your prospectus / Open to explore
AIAIU Academic
Catalogue
Qualifications, modules and electives. Practical study and capstones, where recorded. Explore the credits, prerequisites and possibilities before you apply.
The explicitly published academic catalogue is available to download. Coursebooks and learning resources remain enrolment protected.
Why AIAIU / A considered approach
Built around the way
you put knowledge to work.
Independent study, thoughtful support and evidence of capability. A learning experience with room for your own thinking.
Curriculum with practical purpose
Connect technical concepts with applied problems. Examine the programme modules to find the right fit for your interests.
Flexible self-study
Read, practise and revisit ideas at your own pace. Progress follows demonstrated competence and prerequisites.
AI Tutor & Professor support
Choose optional AI guidance for explanations and critical dialogue. Human academic review remains authoritative.
Portfolio-first learning
Build a body of work you can explain and defend. Keep ownership and control over access to your evidence.
Projects with a purpose
Bring ideas together through practical work and capstone projects where included in your programme.
Modern technical disciplines
Explore the recorded programme catalogue and the concepts, tools and questions that shape your chosen field.
The AIAIU approach
Three ways to learn.
One standard.
Begin with official academic materials. Choose the support that helps you think clearly. Demonstrate the same outcomes, whichever path you take.
Study on your terms.
Read the official course book, work through exercises, examine references and bring your own research.
Begin your pathBuild understanding.
Explore explanations, compare concepts and practise with guidance. The work and the reasoning remain yours.
Explore optional AI supportDefend your thinking.
Test assumptions, consider alternatives and explain your evidence. AI challenges your reasoning; people govern academic decisions.
Create your learning accountFind your field
Programmes for work that matters.
Browse the full academic catalogue without registration. Explore the published programme catalogue. Entry, enrollment and progression remain subject to academic review and recorded requirements.
Loading the programme catalogue…
More than a completed assignment
A body of work.
A record of capability.
Your projects, analysis and research can become evidence of what you know. Publication is deliberate. Private work stays private.
Start building your record- 01
Build something meaningful
Software, datasets, research, professional reports or venture prototypes.
- 02
Explain and defend it
Submit evidence against published outcomes and readable assessment rubrics.
- 03
Retain your work
Organise a capability portfolio with controlled access and recorded review.
Bring what you already know
Experience deserves examination.
Previous learning and professional work may support a prior-capability application. Evidence, a challenge where needed, and human academic review determine the outcome.
Your working library
Read. Question. Investigate.
Official course books, bounded dataset previews and module resources share one protected learning workspace. Move from a concept to the evidence behind it.
Explore the learning experience →Beyond the classroom
Make your thinking visible.
Develop research and venture work, organise your evidence and build a record of reviewed capability. Published credentials can be checked through the verification service.
Verify a credential →Creating an account does not promise admission, accreditation, employment, clients, revenue or income.
Academic seriousness. Personal agency.