Master of Science in Human-Centred AI Systems
Most intelligent systems fail not because the model was wrong but because the system ignored the people who had to use it, trust it or live with its decisions. Human centred design, human computer interaction, and the study of how people and intelligent systems actually work together have become ...
The four facts
What you actually need to compare
- Award and entry
- MSc
- A
- Duration and mode
- 12 months (2 semesters)
- Hybrid. Includes 0 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
- Human centred AI designer, AI product designer, user experience researcher for intelligent systems
- Reviewed by 2031. If the thesis stops holding, the programme is reviewed.
Pricing Model 5.1 · The Forward Standard
Master of Science in Human-Centred AI Systems 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
- Human centred AI designer
- AI product designer
- user experience researcher for intelligent systems
- responsible AI specialist
- human computer interaction researcher
- product manager for AI
- AI adoption and change lead
- design researcher
Employer types
- Regional and global technology firms
- banks
- insurers and mobile money operators
- health and agricultural technology firms
- government digital and public service agencies
- international development and humanitarian organisations
- design and consulting firms
- research institutes
- the graduate's own venture, incubated through the Forward Venture Studio
Target outcomes we hold ourselves to
- This programme is built for designers, researchers, product professionals and engineers moving into human centred roles for intelligent systems, and supports remote employment at international rates. Progression routes include doctoral study in technology, policy and society.
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
Postgraduate programmes carry work integrated learning inside the taught structure rather than the twelve month undergraduate cooperative education placement. Read the co-op commitment
Am I eligible?
Check yourself against the published requirements
7 questions written specifically for Master of Science in Human-Centred AI Systems. 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 |
| MHCA 510 | Human Computer Interaction for Intelligent Systems Both | 6 | 3-2-2 |
| MHCA 511 | Design Research Methods Performance | 6 | 3-2-4 |
| MHCA 512 | Trust, Explanation and Human AI Interaction Both | 5 | 3-2-2 |
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 503 | Governance, Ethics and Leadership of Intelligent Systems Both | 4 | 2-2-0 |
| MHCA 520 | Responsible AI, Fairness and Accountability Performance | 5 | 2-2-4 |
| MHCA 521 | Prototyping Intelligent Interfaces Both | 4 | 2-2-2 |
| MHCA 522 | Measuring Human Outcomes and System Impact Performance | 4 | 2-2-4 |
| MHCA 523 | Adoption, Change and the Sociotechnical System Objective | 3 | 2-2-0 |
| MHCA 530 | Human-Centred AI Project Performance | 15 | 0-2-12 |
Total credit units: 60
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 Science in Human-Centred AI Systems
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
SEMESTER 1 | YEAR 1 | 25 COMPETENCY UNITS
Year 1 · this step is worth 25 CU
Cumulative
25
Programme total
60
25 CU of 60 CU completed by the end of this step (42%)
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 FluencyLevel 3 of 4, Independent
- C2Quantitative and Evidential ReasoningLevel 3 of 4, Independent
- C3Ethical and Contextual Judgement CriticalLevel 4 of 4, Leading
- C4Communication and Persuasion CriticalLevel 4 of 4, Leading
- C5Disciplinary MasteryLevel 3 of 4, Independent
- C6Technical Production and CraftLevel 3 of 4, Independent
- C7Problem Framing and Systems Thinking CriticalLevel 4 of 4, Leading
- C8Collaboration and Multidisciplinary Teaming CriticalLevel 4 of 4, Leading
- C9Enterprise, Value and Commercial LiteracyLevel 3 of 4, Independent
- C10Professional Conduct and Workplace PerformanceLevel 3 of 4, Independent
- C11Learning to Learn and Adaptive CapacityLevel 3 of 4, Independent
- C12Stewardship and Public ContributionLevel 4 of 4, Leading
Critical capabilities for this programme: Ethical and Contextual Judgement · Communication and Persuasion · Problem Framing and Systems Thinking · Collaboration and Multidisciplinary Teaming. 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 1Study how people actually work with an intelligent system, using valid qualitative and quantitative methods, and turn the findings into design decisions.
- PLO 2Design the interaction between a person and an intelligent system so that it is usable, understandable and appropriately trusted.
- PLO 3Measure trust, reliance and the human outcomes of a deployed system, including its failures and harms.
- PLO 4Apply responsible AI and fairness reasoning to a concrete system and hold it accountable to the people it affects.
- PLO 5Explain an intelligent system's behaviour and limits to the audience that must act on it.
- PLO 6Work as the human centred member of a multidisciplinary team, translating between the model, the design and the affected people.
- PLO 7Evaluate an intelligent system against human centred criteria and recommend deployment, redesign or refusal.
- PLO 8Deliver a human centred AI project for an external host with a measured outcome.
- PLO 9Cost and defend a human centred design decision to a commercial and an affected audience.
- PLO 10Acquire and demonstrate a new capability without formal instruction, evidenced in the Capability Passport.
Why this programme exists
Most intelligent systems fail not because the model was wrong but because the system ignored the people who had to use it, trust it or live with its decisions. Human centred design, human computer interaction, and the study of how people and intelligent systems actually work together have become standard functions in the organisations deploying AI, and there is almost no local capacity to staff them. This programme builds the specialist who sits between the model and the human: designing the interaction, studying the use, measuring the trust, and holding the system accountable to the people it affects. It is a taught, project heavy conversion for designers, social scientists, product people and engineers moving toward this fast forming discipline.
Admission requirements
A good first degree (second class or above) in design, a social science, computing, engineering, psychology or a cognate field; or another first degree with demonstrated relevant practice; plus a portfolio or short design and reasoning task at admission scored against Capabilities C4 and C7. Substantial professional experience is admitted through recognition of prior learning against the same profile. All applicants must demonstrate competence in English, the language of instruction, through their qualifications or an approved proficiency test under Part A. International and non standard qualifications are assessed for equivalence against the profile above under the Credential Portability provisions, so that a suitably prepared applicant may enter from anywhere in the world. Selection considers the whole application, including the structured admission task, and is conducted without discrimination under the University's admissions policy. Alternative pathways: recognition of prior learning against the admission profile under Part G, including substantial professional practice in lieu of the named first degree field. Online components require the Digital Readiness orientation under Part D6.