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Postgraduate Academic Degree Code: BSHS-203 Digital Health & Health Informatics

MSc in Digital Health Technologies & Clinical Informatics

An advanced academic pathway designed to equip learners and professionals with rigorous scientific, operational, and clinical knowledge.

Duration
2 Years (4 Semesters)
Award Format
Private Master of Science (MSc) Candidate
Study Mode
Full-Time / Executive Hybrid
Next Intake
October & February
Swiss Private Educational Award & Regulatory Notice

This qualification is an institutional private academic Master degree awarded under Swiss private educational law (Art. 76 Cantonal School Act Zug). It does not confer statutory clinical practice rights, medical specialist certification (FMH/SIWF), or governmental degree recognition.

Programme Overview & Academic Purpose

The MSc in Digital Health Technologies & Clinical Informatics is engineered to meet the evolving demands of modern health systems. Through a balanced synthesis of empirical inquiry, critical literature appraisal, and practical problem-solving, learners develop deep domain expertise.

Whether focusing on health administration, epidemiology, or specialized clinician knowledge updates, curricula are structured modularly to allow working professionals to master competencies sequentially.

MODULAR SYLLABUS

Curriculum Structure by Academic Stage

4 Stages / Terms

Semester 1

6 Modules
Code Module Title Type Course Learning Outcome & Focus
DHT501 Enterprise Clinical Information Architecture Theory Hospital IT architectures, enterprise EHR systems and clinical workflow orchestration
DHT502 Health Data Interoperability, FHIR & OpenEHR Standards Practical Hands-on FHIR server deployment, REST APIs, JSON profiles and semantic mapping
DHT503 Advanced Machine Learning & AI in Clinical Decision Support Practical Deep learning for medical diagnostics, risk prediction and clinical alert systems
DHT504 Digital Health Privacy, Cybersecurity & Governance Theory Defending health infrastructure against cyber threats, GDPR and Swiss medical secrecy
DHT505 Clinical Natural Language Processing & Large Language Models Practical Clinical information extraction, medical entity recognition and conversational agents
DHT506 Human Factors, Usability & Cognitive Ergonomics in Health IT Practical Minimizing clinician cognitive fatigue, user-centered interface design and audit

Semester 2

6 Modules
Code Module Title Type Course Learning Outcome & Focus
DHT511 Medical Imaging Informatics & AI-Assisted Radiology Practical DICOM standards, PACS/VNA pipelines and convolutional networks in imaging
DHT512 Digital Therapeutics (DTx) & Software as Medical Device (SaMD) Theory Regulatory validation (MDR/FDA), clinical trial design for apps and reimbursement
DHT513 Wearable Biosensors, IoT & Remote Patient Monitoring Practical Time-series sensor data streams, cloud telemetry pipelines and anomaly detection
DHT514 Genomic & Precision Medicine Informatics Practical Next-generation sequencing pipelines, variant interpretation and clinical databases
DHT515 Health Economics & Value Proposition of Digital Solutions Theory Cost-effectiveness, health technology assessment and digital health procurement
DHT516 Research Methodology & Project Design in Digital Health Practical Formulation of master’s thesis research hypotheses and validation frameworks

Semester 3

6 Modules
Code Module Title Type Course Learning Outcome & Focus
DHT601 Cloud Computing & Scalable Microservices in Healthcare Practical Containerized architectures (Docker/Kubernetes) in HIPAA/GDPR cloud clouds
DHT602 Ethical AI, Bias Detection & Algorithmic Auditing Theory Detecting algorithmic bias across demographic cohorts in diagnostic predictive models
DHT603 Telehealth Systems, Virtual Wards & Decentralised Care Theory Architecting hospital-at-home platforms and decentralized clinical workflows
DHT604 Master’s Thesis Research Proposal & Ethics Clearance Practical Comprehensive dissertation proposal and institutional review board application
DHT605 Blockchain, Decentralised Identity & Data Sovereignty Theory Self-sovereign patient identity, smart contracts and consent management systems
DHT606 Executive Leadership in Health Technology Transformation Theory Chief information officer (CIO) strategy and leading health system IT change

Semester 4

6 Modules
Code Module Title Type Course Learning Outcome & Focus
DHT611 Master’s Research Dissertation & Software Artifact Defense Practical Execution of an original clinical software or machine learning research thesis
DHT612 Oral Boardroom Examination & Technical Viva Practical Formal oral defence of findings and software artifact before faculty jury
DHT613 Scientific Manuscript Submission & Publication Dossier Practical Refining master’s research for submission to indexed medical informatics journals
DHT614 Executive Digital Health White Paper & Architecture Brief Theory Synthesizing technical findings into an executive briefing for healthcare leaders
DHT615 Frontiers in Health Technology: Quantum & Nanorobotics Theory Exploring quantum simulation in drug discovery and advanced surgical robotics
DHT616 Comprehensive Professional Clinical Informatics Portfolio Practical Verified code repositories, design artifacts and architectural blueprint portfolio

Entry Criteria & Professional Prerequisites

Academic Eligibility

Recognized Bachelor degree in health sciences, life sciences, health administration, computing, or related quantitative field. English proficiency IELTS 6.5+ or equivalent.

Professional Prerequisites & Verification

Relevant academic degree or documented professional experience in health administration, public health, health data, or biomedical industry.

Programme Summary

AWARD Private Master of Science (MSc) Candidate
DISCIPLINE Digital Health & Health Informatics
DURATION 2 Years (4 Semesters)
DELIVERY MODE Full-Time / Executive Hybrid
NEXT INTAKE October & February
Questions regarding eligibility or prerequisites?
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