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...
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.
Health & Bioengineering
Other open programmes in this School
Bachelor of Science in Digital Health and Health Informatics
Uganda's health system now runs on district health information systems, electronic medical records, laboratory and logistics systems and a growing layer of clinical algorithms, and it is staffed at the technical level almost entirely by peo...
View programme BEng (Hons)Bachelor of Engineering in Biomedical Engineering and Medical Devices
African hospitals are full of donated equipment that no longer works, and the reason is almost never the technology. It is the absence of biomedical engineers who can install, calibrate, repair and eventually design equipment for local cond...
View programme BSc (Hons)Bachelor of Science in Biotechnology and Biomanufacturing
Biomanufacturing has been named a strategic discipline in every major industrial catalogue revision of the past three years, and the pandemic demonstrated with brutal clarity what it costs a continent to manufacture almost none of its own b...
View programme BSc (Hons)Bachelor of Science in Precision Public Health and Epidemiology
East Africa is the world's most consequential theatre for outbreak detection and response, and its public health workforce is overwhelmingly trained at postgraduate level, leaving districts staffed by people improvising with spreadsheets. T...
View programme BSc (Hons)Bachelor of Science in Nursing with Clinical Informatics
Nursing remains among the largest absolute job creators in the world and one of the few professions with guaranteed international demand. Uganda trains competent nurses; what it does not yet train is nurses who can lead the digital transfor...
View programme BPharm (Hons)Bachelor of Pharmacy with Computational Drug Discovery
Uganda imports the overwhelming majority of its medicines and manufactures a narrow band of generics, while substandard and falsified products remain a persistent public health threat. The pharmacist of the next twenty years must therefore ...
View programme MPHMaster of Public Health in Digital Epidemiology
A Master of Public Health built for a surveillance environment that is now digital, genomic and real time. It trains population health leaders who can build and run modern surveillance and modelling capability rather than commission it, and...
View programme MScMaster of Science in Bioinformatics and Genomic Medicine
African genomes are the most diverse on earth and the least represented in reference databases, which means that precision medicine developed elsewhere routinely misclassifies African patients. Closing that gap requires African bioinformati...
View programme PhDDoctor of Philosophy in Health Data Science
Doctoral research at the intersection of medicine, biology and computation, anchored in African clinical and population data. The programme requires peer reviewed publication before submission, a translation statement, and evidence that the...
View programme