Master of Science in Biomedical Artificial Intelligence
Clinical machine learning is being deployed across African health systems faster than it is being validated, and models trained on distant populations are being applied to Ugandan patients with almost no local evidence. This programme produ...
The four facts
What you actually need to compare
- Award and entry
- MSc
- A
- Duration and mode
- 18 months (3 semesters)
- Hybrid. Includes 12 months of paid, assessed cooperative education.
- Cost
- UGX 3,900,000 per year
- Tier 3 laboratory classification. Includes UGX 900,000 annual laboratory premium.
- Outcome targeted
- Clinical machine learning scientist, medical imaging AI specialist, clinical model validation lead
- Reviewed by 2031. If the thesis stops holding, the programme is reviewed.
Pricing Model 5.1 · The Forward Standard
Master of Science in Biomedical Artificial Intelligence fee
UGX 3,900,000 per year
- Laboratory tier
- Tier 3
- Annual premium
- UGX 900,000
- Per semester
- UGX 1,950,000
- Whole programme
- UGX 5,850,000
- Approximate USD
- ≈ USD 1,539
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
- Clinical machine learning scientist
- medical imaging AI specialist
- clinical model validation lead
- digital health scientific officer
- regulatory science specialist
- research fellow.
Employer types
- Hospitals and health systems
- medical imaging and diagnostics companies
- global health research institutes
- regulators
- digital health firms
- and universities.
Target outcomes we hold ourselves to
- A specialised, credentialed and rapidly growing field with strong international research and industry demand.
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 Science in Biomedical 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 |
| HLB 510 | Clinical Foundations and Health Data Structures Both | 5 | 3-2-2 |
| HLB 511 | Machine Learning for Health Data Performance | 6 | 3-2-4 |
| HLB 512 | Biostatistics and Clinical Study Design Both | 6 | 4-2-2 |
| HLB 513 | Health Data Governance, Consent and Ethics Both | 5 | 3-2-2 |
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 503 | Governance, Ethics and Leadership of Intelligent Systems Both | 4 | 2-2-0 |
| HLB 520 | Medical Imaging and Signal Analysis Performance | 7 | 4-2-4 |
| HLB 521 | Clinical Model Validation, Calibration and Fairness Both | 6 | 4-2-2 |
| HLB 522 | Software as a Medical Device: Regulation and Safety Case Both | 5 | 3-2-2 |
| HLB 523 | Clinical Workflow Integration and Evaluation Both | 5 | 3-2-2 |
| HLB 524 | Advanced Elective Objective | 3 | 2-2-0 |
| Code | Course | CU | Hours |
|---|---|---|---|
| HLB 530 | Dissertation: Validated Clinical Model or Deployment Study Performance | 20 | 0-2-38 |
| HLB 531 | Implementation Science for Digital Health Both | 5 | 3-2-2 |
| HLB 532 | Research Communication and Publication Objective | 5 | 4-2-0 |
Total credit units: 90
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 Biomedical 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 30 CU
Cumulative
30
Programme total
90
30 CU of 90 CU completed by the end of this step (33%)
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 Judgement CriticalLevel 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 ThinkingLevel 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 Performance CriticalLevel 4 of 4, Leading
- C11Learning to Learn and Adaptive CapacityLevel 4 of 4, Leading
- C12Stewardship and Public ContributionLevel 3 of 4, Independent
Critical capabilities for this programme: Intelligent Systems Fluency · Quantitative and Evidential Reasoning · Ethical and Contextual Judgement · Professional Conduct and Workplace Performance. 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 1Build and validate clinical prediction and imaging models on real health data.
- PLO 2Design a clinical validation study appropriate to the intended use and population.
- PLO 3Detect and mitigate bias, distribution shift and calibration failure in clinical models.
- PLO 4Prepare regulatory and safety documentation for software as a medical device.
- PLO 5Integrate a model into a clinical workflow and evaluate its effect on care.
- PLO 6Conduct and report original research to publication standard.
Why this programme exists
Clinical machine learning is being deployed across African health systems faster than it is being validated, and models trained on distant populations are being applied to Ugandan patients with almost no local evidence. This programme produ...
Admission requirements
A Bachelor's degree of at least Second Class Lower Division in medicine, nursing, pharmacy, biomedical sciences, engineering, computing or a cognate discipline. Clinical applicants without programming background complete a compulsory 4 CU bridging module; technical applicants without clinical background complete a compulsory 4 CU clinical foundations module. 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.