Duration: 12 months (19 July 2027 – 16 June 2028)
TOTAL CREDITS: 60 ECTS (1,500 hours)
Mode: Hybrid, digitally supported (Virtual Campus)
In collaboration with: Precision Health Alliance
Chair: International Chair in Precision Medicine and Artificial Intelligence
The Master’s Degree in Precision Lifestyle Medicine and AI Medicine trains the professionals who will lead the transition to personalised, intelligent and accountable medicine. It combines rigorous scientific judgement with an advanced understanding of artificial intelligence, implementation, ethics and human behaviour.
The programme develops the ability to interpret human variation, evaluate emerging evidence, design personalised lifestyle and prevention strategies, and use AI safely and verifiably. It is not about learning to use a chatbot: it is about knowing how to check whether an AI answer is valid, safe and useful for a specific person.
Flexible pathway: besides the full Master’s, each of the two specialty courses (25 ECTS) and each of the 20 two-week short courses can be taken on its own.
| Component | ECTS | Hours |
|---|---|---|
| Precision Lifestyle Medicine Specialty (5 × 2-ECTS + 5 × 3-ECTS courses) | 25 | 625 |
| AI Medicine Specialty (5 × 2-ECTS + 5 × 3-ECTS courses) | 25 | 625 |
| Supervised applied practicum | 5 | 125 |
| Research thesis and presentation | 5 | 125 |
| TOTAL MASTER’S | 60 | 1,500 |
Four teaching terms: T1 (19 Jul – 24 Sep 2027) and T2 (11 Oct – 17 Dec 2027) for Precision Lifestyle Medicine; T3 (17 Jan – 24 Mar 2028) and T4 (10 Apr – 16 Jun 2028) for AI Medicine. Each course lasts two weeks and includes its own assessment; there is no separate final exam period.
Specialty 1 · Precision Lifestyle Medicine
| Code | Two-week course | ECTS | Dates |
|---|---|---|---|
| PLM01 | Foundations of Precision Lifestyle and Systems Medicine | 2 | 19 Jul – 30 Jul 2027 |
| PLM02 | Human Variation, Phenotyping and Genomic Literacy | 2 | 2 Aug – 13 Aug 2027 |
| PLM03 | Precision Nutrition, Metabolic Health and Nutrigenomics | 2 | 16 Aug – 27 Aug 2027 |
| PLM04 | Movement, Exercise Physiology and Functional Capacity | 2 | 30 Aug – 10 Sep 2027 |
| PLM05 | Sleep, Circadian Biology, Stress and Neurobehavioural Health | 2 | 13 Sep – 24 Sep 2027 |
| PLM06 | Multimodal Biomarkers, Digital Phenotyping and Longitudinal Assessment | 3 | 11 Oct – 22 Oct 2027 |
| PLM07 | Cardiometabolic Risk, Inflammation and Chronic Disease Prevention | 3 | 25 Oct – 5 Nov 2027 |
| PLM08 | Behaviour Change Science, Coaching and Adaptive Intervention Design | 3 | 8 Nov – 19 Nov 2027 |
| PLM09 | Healthspan, Life-Course and Population-Sensitive Precision Medicine | 3 | 22 Nov – 3 Dec 2027 |
| PLM10 | Precision Care Pathways, N-of-1 Trials and Outcomes Science | 3 | 6 Dec – 17 Dec 2027 |
Specialty 2 · AI Medicine
| Code | Two-week course | ECTS | Dates |
|---|---|---|---|
| AIM01 | Foundations of Clinical AI, Machine Learning and Medical Data | 2 | 17 Jan – 28 Jan 2028 |
| AIM02 | Generative AI, Foundation Models and Evidence-Grounded Clinical Reasoning | 2 | 31 Jan – 11 Feb 2028 |
| AIM03 | Clinical AI Workflow Design, Prompt Evaluation and Quality Assurance | 2 | 14 Feb – 25 Feb 2028 |
| AIM04 | AI-First Practice Operations, Administration and Service Delivery | 2 | 28 Feb – 10 Mar 2028 |
| AIM05 | Health Informatics, Interoperability, Ethics and AI Governance | 2 | 13 Mar – 24 Mar 2028 |
| AIM06 | Computational Digital Twins and Personalised Health Prediction | 3 | 10 Apr – 21 Apr 2028 |
| AIM07 | Multimodal Medical AI: Biosignals, Imaging, Omics and Wearables | 3 | 24 Apr – 5 May 2028 |
| AIM08 | Clinical AI Agents, Predictive Analytics and Adaptive Decision Support | 3 | 8 May – 19 May 2028 |
| AIM09 | Clinical AI Validation, Implementation and Health Innovation | 3 | 22 May – 2 Jun 2028 |
| AIM10 | Ethical AI Marketing, Client Engagement and Professional Practice Growth | 3 | 5 Jun – 16 Jun 2028 |
Prof. Matt Riemann
Founder of Shae Group and Precision Health Alliance · Scientific Committee
Health scientist with more than 25 years of experience in precision medicine, bioengineering, AI and digital twins. Master of Applied Science (University of South Australia). He has lectured at the University of Queensland, Griffith University and Ohio University and is a professor at EIU. He has advised governments, Fortune 500 organisations, the United Nations and the WHO.
Dr Cameron McDonald
CEO of Precision Health Alliance · VP of Education, ShaeWellness
Over 20 years in precision lifestyle medicine, applied epigenetics and AI-enabled healthcare. PhD (University of Queensland), Master of Nutrition and Dietetics and Bachelor of Exercise Science; Accredited Practising Dietitian, Accredited Exercise Physiologist and Fellow of the Australasian Society of Lifestyle Medicine. Author of postgraduate curricula and peer-reviewed research.
Anne Larsen
International Director of Coaching, Shae Group
Social worker, family therapist, accredited mental health specialist and NBHWC-accredited health and wellness coach. Nearly 40 years of clinical practice; designs and delivers NBHWC-accredited coach training and courses on relationships and behaviour change.
Rebekah Morrison
Co-founder of ph360 · Educator and author
More than two decades in health, wellness and education. Trains health and medical professionals and creates resources that make personalised health practical; has developed accredited curricula and adapted them for online delivery.
Scientific Committee: Prof. Matt Riemann.
Tools students can access
- Shae.ai App
- Shae.ai Digital Twin
- ShaeMed AI Practitioner Portal
- CLIA, Clinical Intelligence AI Assistant
- Precision Lifestyle Medicine AI Portal
- AI Scribe
- A recognised bachelor’s degree in medicine, health sciences, nursing, allied health, public health, nutrition, psychology, computing, engineering, data science or another relevant discipline.
- Professional, research or leadership experience is advantageous (two years preferred) but not mandatory.
- English proficiency suitable for postgraduate study.
- Academic transcript, CV and statement of interest.
- Applicants lacking clinical, quantitative or computing fundamentals may be asked to complete bridging study.
Specialty and short-course enrolments have their own eligibility review. The award is academic and does not authorise regulated clinical practice.
Supervised applied practicum (5 ECTS · 125 hours), spread across the four terms, in a workplace, partner organisation, simulated care setting, research group or technology implementation project.
- Implement an AI-assisted evidence review or clinical documentation workflow, using fictional or authorised data.
- Evaluate a personalisation or digital-twin prototype against technical and user-experience measures.
- Design a precision lifestyle programme for a regulated practice.
- Conduct a systematic review or a de-identified retrospective analysis.
- Develop an AI governance and readiness assessment for an organisation.
Where to do the practicum:
- Precision Health Alliance: virtual placements available.
- Student’s own choice: students may propose another company; the university and the company sign a placement agreement.
Research thesis (5 ECTS · 125 hours): reviewed proposal, defended thesis, journal-style manuscript and oral presentation.
| Option | Duration | Includes | Tuition |
|---|---|---|---|
| Full Master’s Degree | 4 terms · 60 ECTS | Both specialties (20 courses) + practicum + thesis | €9,997 |
| One specialty course | 2 terms · 25 ECTS | One complete ten-course specialty | €7,500 |
| One short course | 2 weeks · 2 or 3 ECTS | One assessed stand-alone course | €997 |
Enrolment deposit: minimum 20% (€1,999.40 for the Master’s, €1,500 for a specialty, €199.40 for a short course). The balance is due before the start unless a written instalment plan is approved.
14-day cancellation window from acceptance and first payment, with full refund. All statutory consumer rights are preserved.
- Clinicians and health professionals seeking more rigorous personalisation and safe AI adoption.
- Practice owners and health managers evaluating and introducing AI in administration and patient care.
- Researchers, developers and digital-health entrepreneurs who need to properly test their innovations.
- Public-health, nutrition, exercise and wellbeing specialists working with data and technology.
Enrol here · Information and admissions: postgraduate@eiu.education