Master of Education in Learning Design and Educational Artificial Intelligence
Serving teachers, lecturers, trainers and education leaders are being asked to redesign teaching and assessment for a world with intelligent systems, largely without support. This intensive programme gives them the learning science, design ...
The four facts
What you actually need to compare
- Award and entry
- MEd
- A
- Duration and mode
- 12 months (2 semesters)
- Hybrid. Includes 12 months of paid, assessed cooperative education.
- Cost
- UGX 3,300,000 per year
- Tier 1 laboratory classification. Includes UGX 300,000 annual laboratory premium.
- Outcome targeted
- Head of learning design, academic developer, curriculum and assessment lead
- Reviewed by 2031. If the thesis stops holding, the programme is reviewed.
Pricing Model 5.1 · The Forward Standard
Master of Education in Learning Design and Educational Artificial Intelligence fee
UGX 3,300,000 per year
- Laboratory tier
- Tier 1
- Annual premium
- UGX 300,000
- Per semester
- UGX 1,650,000
- Whole programme
- UGX 3,300,000
- Approximate USD
- ≈ USD 868
What this fee includes
- Teaching, practice tutoring, assessment and competency verification
- The Amagezi platform and AI tutor around the clock
- All learning materials
- Every examination, including first resits
- Identity card, library, guild, sports and basic wellbeing
- Co-op placement matching and the Capability Passport
- Graduation and the statutory NCHE fee
- Online application
Employment thesis
What this programme is designed to produce
Forward publishes the destination of every programme before you enrol. If the thesis stops holding, the programme is reviewed and, where necessary, retired. Next review: 2031.
Roles
- Head of learning design
- academic developer
- curriculum and assessment lead
- education technology lead
- school or faculty leader
- corporate learning manager
- teacher educator.
Employer types
- Universities and colleges
- school networks and international schools
- ministries and examinations bodies
- corporate learning functions
- education technology companies
- and development organisations.
Target outcomes we hold ourselves to
- Advancement for serving educators, with growing demand from institutions restructuring assessment and delivery.
Compulsory · The Forward Core
How the Core works →Every Forward programme, including this one, carries the same five cross-cutting requirements. They are graded, not optional.
- AI Fluency
- Quantitative Reasoning
- Ethics and African Context
- Human-Advantage Skills
- Enterprise
Includes 12 months paid work-integrated learning
Am I eligible?
Check yourself against the published requirements
7 questions written specifically for Master of Education in Learning Design and Educational Artificial Intelligence. Every answer is checked against a requirement Forward has published, and the result tells you which page that requirement comes from. Indicative only, the admissions office decides on your full file.
What is the highest qualification you hold?
Curriculum structure
The same degree, in both pathways
Every Forward programme is published in both pathways: Path One, the term plan of two six-month terms, and Path Two, the block sequence of twelve four-week blocks. Same competencies, same assessments, same award. Toggle to see this programme in each.
Path One term plan shown
Path One · The Term Model
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 501 | Applied Intelligence for Professionals Both | 4 | 2-2-0 |
| FDC 502 | Research Evidence and Method Both | 4 | 2-2-0 |
| EFH 510 | Advanced Learning Science and Evidence Both | 6 | 4-2-2 |
| EFH 511 | Programme and Curriculum Design Performance | 6 | 1-0-10 |
| EFH 512 | Assessment Redesign for the Age of Intelligent Systems Performance | 6 | 1-0-10 |
| EFH 513 | Educational Data and Learning Analytics Performance | 5 | 2-2-4 |
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 503 | Governance, Ethics and Leadership of Intelligent Systems Both | 4 | 2-2-0 |
| EFH 520 | Digital and Blended Learning at Scale Performance | 5 | 1-0-8 |
| EFH 521 | Intelligent Tutoring and Adaptive Design Performance | 5 | 2-2-4 |
| EFH 522 | Leading Educational Change Both | 4 | 2-2-2 |
| EFH 523 | Advanced Elective Objective | 4 | 3-2-0 |
| Code | Course | CU | Hours |
|---|---|---|---|
| EFH 530 | Applied Project: Institutional Learning Design Commission Performance | 15 | 0-2-28 |
| EFH 531 | Equity, Access and Inclusive Learning Design Performance | 4 | 1-0-6 |
Total credit units: 72
Curriculum source
Forward University Curriculum Compendium
Assessment
Coursework + project + integrated exam
Work-integrated learning
12 months paid co-operative education
Your week at Forward
A typical week on Master of Education in Learning Design and Educational Artificial Intelligence
Path One, the Term Model: your own pace across a six-month term, one live session a week, short flexible lessons, and assessment on demand.
Monday
Tuesday
Wednesday
Thursday
Friday
Curriculum explorer
Drill into the degree, step by step
Choose a study path, then a year, then a term or block, then a course. Credit totals add up as you go, and every course shows what comes before it and what it unlocks.
Step 1, choose a year
Step 2, choose a term
TERM 1 (SIX MONTHS) | FORMERLY SEMESTER 1
Year 1 · this step is worth 31 CU
Cumulative
31
Programme total
60
31 CU of 60 CU completed by the end of this step (52%)
Step 3, choose a course
Pick a course to see the detail
Credits, assessment, prerequisites and what each course unlocks later.
The twelve Forward capabilities
What this programme develops in you
Every Forward degree develops the same twelve cross-cutting capabilities. The profile below is the level this programme is designed to develop and verify by graduation, on the four-level scale in Part B2 of the Curriculum Compendium. Every claim above Level 2 is verified by someone other than the teaching lecturer.
- C1Intelligent Systems Fluency CriticalLevel 4 of 4, Leading
- C2Quantitative and Evidential Reasoning CriticalLevel 4 of 4, Leading
- C3Ethical and Contextual JudgementLevel 3 of 4, Independent
- C4Communication and PersuasionLevel 4 of 4, Leading
- C5Disciplinary MasteryLevel 4 of 4, Leading
- C6Technical Production and CraftLevel 4 of 4, Leading
- C7Problem Framing and Systems Thinking CriticalLevel 4 of 4, Leading
- C8Collaboration and Multidisciplinary TeamingLevel 3 of 4, Independent
- C9Enterprise, Value and Commercial LiteracyLevel 3 of 4, Independent
- C10Professional Conduct and Workplace PerformanceLevel 4 of 4, Leading
- C11Learning to Learn and Adaptive CapacityLevel 4 of 4, Leading
- C12Stewardship and Public Contribution CriticalLevel 3 of 4, Independent
Critical capabilities for this programme: Intelligent Systems Fluency · Quantitative and Evidential Reasoning · Problem Framing and Systems Thinking · Stewardship and Public Contribution. A graduate cannot pass out of this programme below the stated level on any capability marked critical.
Programme Learning Outcomes
What you will be able to do
Each outcome is assessed, and each is tagged with the Forward capabilities it is verified against.
- PLO 1Apply learning science to the design of programmes courses and assessment.
- PLO 2Redesign assessment for validity in the presence of intelligent systems.
- PLO 3Build and evaluate digital and blended learning at programme scale.
- PLO 4Use educational data to improve teaching and to evidence learning.
- PLO 5Lead curriculum and pedagogical change in an institution.
- PLO 6Design for equity of access across connectivity, language and disability.
Why this programme exists
Serving teachers, lecturers, trainers and education leaders are being asked to redesign teaching and assessment for a world with intelligent systems, largely without support. This intensive programme gives them the learning science, design ...
Admission requirements
A Bachelor's degree of at least Second Class Lower Division; teaching, training or education experience is normally expected and may be recognised under Part G3. Alternative pathways: Foundation Year, diploma entry with advanced standing, mature age entry and recognition of prior learning, all governed by Part A5 and Part G. Online applicants additionally complete the compulsory Digital Readiness orientation under Part D6.