• Apply epidemiology and biostatistics to generate, analyse, and interpret population data for actionable decisions.

• Design, implement, and evaluate prevention and health protection strategies that are evidence‑based and equity‑oriented.

• Lead and manage health systems and programmes, optimising resources, quality, and interoperability in digitally enabled settings.

• Integrate social and behavioural determinants to reduce inequities and improve community health outcomes.

• Navigate global health policy and comparative systems, aligning local action with international standards and governance.

• Promote and evaluate health promotion interventions using participatory and culturally responsive approaches.

• Employ data science and digital health tools responsibly, addressing ethics, privacy, security, and algorithmic bias.

• Conduct independent, practice‑relevant research culminating in a publishable‑quality project that informs policy or service delivery.

📘 Knowledge & Understanding

• K1 – Advanced understanding of epidemiological methods, biostatistics, and research designs for population health inquiry.

• K2 – Critical knowledge of health systems, financing, leadership, and digital health architectures (data standards, interoperability, governance).

• K3 – Comprehensive grasp of health protection, health promotion, and the social/structural determinants of health and equity.

• K4 – Awareness of AI ethics, data privacy, and bias mitigation in public health analytics.

⚙️ Practical & Applied Skills (EQF L7)

• S1 – Analyse quantitative and qualitative data using appropriate statistical and informatics tools; interpret results for policy and practice.

• S2 – Design, implement, and evaluate population‑level interventions and programmes, including budget and resource stewardship.

• S3 – Appraise and apply global and national digital health strategies, standards, and regulatory frameworks in project and service design.

• S4 – Communicate complex evidence to diverse audiences; lead multi‑stakeholder collaboration across sectors and settings.

🌟 Autonomy & Responsibility

• R1 – Independently plan and conduct a supervised 12‑ECTS research project, from protocol to dissemination, adhering to ethical and data‑governance requirements.

• R2 – Exercise judgement in selecting analytic approaches and digital tools, balancing innovation with risk, privacy, and equity considerations.

• R3 – Lead quality improvement and digital transformation initiatives that strengthen resilience, efficiency, and person‑centred care.

• R4 – Champion ethical, inclusive, and culturally safe public health practice, ensuring transparency, accountability, and equity in data‑driven decisions.

🎯 Graduates are prepared for leadership roles in public health agencies, health system management, global health policy, epidemiology, and digital health transformation.

🎓 Final Award: Master of Continuing Education in Public Health Management (EQF Level 7 / EHEA Cycle 2)

✅ Requirements: Successful completion of 8 taught modules (48 ECTS) + Capstone Research Project (12 ECTS) – total 60 ECTS.

📜 Awarding institution: UTAMED – fully online, internationally recognised master pathway.

📅 Intakes: Monthly rolling admissions

APL Advanced Standing available for prior relevant qualifications or professional experience.

🏅 Degree Classification (Final aggregate)

• Distinction: 70% or above

• Merit: 60% – 69%

• Pass: 50% – 59%

• Fail: Below 49% (compensation may apply)

Individual modules follow same bands (Distinction/Merit/Pass/Fail)

Capstone research project (10,000–12,000 words) graded according to advanced master criteria.

📋 100% Coursework – No Exams

Each taught module requires a work‑based management report (3,000–3,500 words). Reports follow a professional structure: Executive Summary, Context, Framework, Analysis, Recommendations, Reflective Commentary, and Harvard‑referenced literature.

The programme emphasises applied epidemiology, biostatistics, health systems management, policy analysis, and digital health governance.

🎯 Master-Level Grading (per module)

• Distinction: 70–100%

• Merit: 60–69%

• Pass: 50–59%

• Fail: <50% (referral possible)

The final Capstone Research Project (10,000–12,000 words) is assessed on introduction, literature review, methodology, analysis, conclusions & recommendations, and overall presentation. External moderation ensures academic rigour.

Formative feedback & resit policy per UTAMED regulations