AI101 18 h 45 m · CAP490 4 h 35 m
THE PROGRAMME CONTRACT / REVIEW EDITION 1
Know what you learn.
Know what you build.
A proposed 16-week assessed common core, with a four-week specialist extension. Coded subjects, practical evidence and a clear distinction between breadth and depth.
400 hcore scheduled attendance
373 h 20 mproductive core allocation
149 h 20 mconcepts and guided learning
224 hpractical training and evidence
Design allocations, not hours already delivered. Monday–Friday, one proposed five-hour shift, including 20 minutes of breaks per day. Core: 16 × 5 × 5 h = 400 h; breaks: 26 h 40 m. Learning/training split: 40% / 60% of productive time. Faculty and college scheduling remain to be agreed.
EVERY LEARNER / THE SHARED CORE
Twelve courses.
A connected foundation.
The core introduces each discipline to the depth allocated here. Advanced specialist mastery requires a focused pathway and further practice.
| Code | Course | Total | Learning | Training |
|---|---|---|---|---|
| AI101 ↗ | Engineering foundations: Python, Linux & Git | 40 h | 16 h | 24 h |
| MTH110 ↗ | Mathematics for learning systems | 24 h | 9 h 36 m | 14 h 24 m |
| DAT120 ↗ | Data science: SQL, EDA & statistical reasoning | 32 h | 12 h 48 m | 19 h 12 m |
| ML201 ↗ | Machine learning: baselines to reliable decisions | 40 h | 16 h | 24 h |
| DL301 ↗ | Deep learning: DNNs, PyTorch, CNNs & sequences | 32 h | 12 h 48 m | 19 h 12 m |
| NLP310 ↗ | Language engineering: text to transformers | 24 h | 9 h 36 m | 14 h 24 m |
| AI320 ↗ | Generative AI, RAG & bounded agentic workflows | 24 h | 9 h 36 m | 14 h 24 m |
| MLO401 ↗ | Software delivery for AI: APIs, tests, Docker & CI | 32 h | 12 h 48 m | 19 h 12 m |
| MLO410 ↗ | MLOps: versioning, experiments, pipelines & monitoring | 24 h | 9 h 36 m | 14 h 24 m |
| RES420 ↗ | Scientific modelling, digital twins & research practice | 16 h | 6 h 24 m | 9 h 36 m |
| PRO430 ↗ | Engineering communication & career evidence | 12 h | 4 h 48 m | 7 h 12 m |
| CAP490 ↗ | Industry capstone & individual technical defence | 73 h 20 m | 29 h 20 m | 44 h |
HOW THE SEMESTER UNFOLDS
A paced progression.
Not forty-two parallel courses.
Capstone evidence develops throughout the core; weeks 14–16 concentrate on integration and defence. Each core week allocates 18 h 45 m to the sequential core courses and 4 h 35 m to capstone work. The allocations sum to 23 h 20 m productive time each week. Capstone planning starts at orientation; model implementation follows ML201 and service integration follows MLO401.
AI101 18 h 45 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
AI101 2 h 30 m · MTH110 16 h 15 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
MTH110 7 h 45 m · DAT120 11 h · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
DAT120 18 h 45 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
DAT120 2 h 15 m · ML201 16 h 30 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
ML201 18 h 45 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
ML201 4 h 45 m · DL301 14 h · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
DL301 18 h · NLP310 0 h 45 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
NLP310 18 h 45 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
NLP310 4 h 30 m · AI320 14 h 15 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
AI320 9 h 45 m · MLO401 9 h · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
MLO401 18 h 45 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
MLO401 4 h 15 m · MLO410 14 h 30 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
MLO410 9 h 30 m · RES420 9 h 15 m · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
RES420 6 h 45 m · PRO430 12 h · CAP490 4 h 35 m
23 h 20 m productive / 1 h 40 m breaks / 25 h scheduled
12 h specialist studio + 11 h 20 m project per week
One pathway: first selected studio in weeks 17–18, second in 19–20.
OPTIONAL / SPECIALISE WITH INTENTION
Choose one pathway.
Deepen one contribution.
Four additional weeks: 100 scheduled hours, including 6 h 40 m breaks. The productive 93 h 20 m comprises two selected 24-hour specialist studios and 45 h 20 m of project deepening.
Not all 30 specialist studios run in one intake. The selected pathway, faculty, environment and availability must be confirmed before enrolment. Other specialist subjects remain a transparent catalogue for future cohorts or separately scoped training.
Compare the pathway choices ↗THE WORK SHOULD STAND UP TO QUESTIONS
Assessment follows
the evidence.
Proposed scheme for institutional discussion; final criteria must be adopted before enrolment.
Course labs & reviews
Technical correctness, reproducibility, interpretation and documented reviews.
Capstone system
Problem scope, baseline, implementation, validation, limitations and handover.
Individual defence
Explanation of decisions, failure cases and personally evidenced contribution.
Participation & integrity
Proposed 80% attendance, 60/100 overall, 50% in the individual defence, required evidence and integrity clearance.
Browser practice scores are self-study records, not official marks. Career support, publication preparation and postgraduate guidance do not guarantee placement, acceptance or admission.
REFERENCE FRAMEWORKS / INDEPENDENT PROGRAMME DESIGN
Built against a wider
view of the field.
ACM/IEEE-CS/AAAI CS 2023 knowledge areas ↗Google Cloud Professional ML Engineer skills guide ↗Hugging Face learning domains ↗NVIDIA Physical AI learning ↗
References inform coverage; no affiliation, accreditation or endorsement is implied. Curriculum and lab briefs are authored here; complete taught packs across all courses remain in preparation.