An advanced academic pathway designed to equip learners and professionals with rigorous scientific, operational, and clinical knowledge.
This qualification is an institutional private academic Bachelor degree awarded under Swiss private educational law (Art. 76 Cantonal School Act Zug). In accordance with Swiss Cantonal and Federal regulations, private degrees are not Swiss state-recognized university degrees and do NOT confer statutory licensure or clinical practice rights in regulated healthcare professions (such as medicine, nursing, dentistry, or pharmacy).
The BSc in Digital Health & Health 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.
| Code | Module Title | Type | Course Learning Outcome & Focus |
|---|---|---|---|
| DHI101 | Foundations of Digital Health & Health Informatics | Theory | Evolution of biomedical informatics, telehealth and digital care models |
| DHI102 | Medical Terminology & Clinical Ontologies | Theory | SNOMED CT, ICD-10/11, LOINC and medical knowledge representations |
| DHI103 | Computer Programming for Health Data (Python & R) | Practical | Data structures, algorithm design and scientific computing for health datasets |
| DHI104 | Relational Databases & SQL in Healthcare | Practical | Relational schema design, normalization and clinical SQL queries |
| DHI105 | Human Anatomy & Physiological Systems for Informatics | Theory | Core organ systems, biomarker measurements and biomedical diagnostic values |
| DHI106 | Digital Ethics, Health Data Privacy & Swiss FADP | Theory | Data confidentiality, HIPAA, GDPR and Swiss Federal Data Protection Act |
| Code | Module Title | Type | Course Learning Outcome & Focus |
|---|---|---|---|
| DHI111 | Electronic Health Records & Clinical Systems | Practical | Architecture of EHRs, computerized physician order entry (CPOE) and clinical documentation |
| DHI112 | Healthcare Interoperability & HL7 / FHIR Standards | Practical | FHIR resources, RESTful health APIs and JSON/XML clinical exchange |
| DHI113 | Biostatistics & Health Data Evaluation | Practical | Parametric/non-parametric tests, linear regression and sample size estimation |
| DHI114 | Human–Computer Interaction & Medical Usability (UX) | Practical | Clinical workflow analysis, usability testing and cognitive load reduction in EHRs |
| DHI115 | Telemedicine & Remote Patient Monitoring Systems | Practical | IoT sensor integration, home monitoring architectures and virtual clinics |
| DHI116 | Healthcare Information Systems Architecture | Theory | Enterprise hospital IT networks, PACS/VNA imaging architectures and cloud hosting |
| Code | Module Title | Type | Course Learning Outcome & Focus |
|---|---|---|---|
| DHI201 | Clinical Decision Support Systems (CDSS) | Theory | Rule-based expert systems, clinical alert fatigue mitigation and algorithmic guidance |
| DHI202 | Machine Learning Foundations in Medicine | Practical | Supervised learning, classification models and medical predictive analytics in Python |
| DHI203 | Medical Imaging Informatics & DICOM Standards | Practical | DICOM metadata parsing, image processing algorithms and radiological workflows |
| DHI204 | Mobile Health (mHealth) Application Engineering | Practical | Mobile architecture for iOS/Android, wearable health sensor data pipelines |
| DHI205 | Healthcare Cybersecurity & Data Governance | Theory | Ransomware defense in hospitals, network segmentation and biomedical device security |
| DHI206 | Health Economics of Digital Solutions | Theory | Value proposition, cost-benefit analysis and reimbursement of digital therapeutics (DTx) |
| Code | Module Title | Type | Course Learning Outcome & Focus |
|---|---|---|---|
| DHI211 | Natural Language Processing in Clinical Documentation | Practical | NER on clinical discharge summaries, clinical LLMs and automated entity extraction |
| DHI212 | Population Health Analytics & Big Data Architecture | Practical | Hadoop, Spark and cloud data lakes for epidemiological dataset querying |
| DHI213 | Patient Portals, Personal Health Records & Engagement | Theory | Patient empowerment, digital health literacy and portal adoption drivers |
| DHI214 | Medical Device Software Regulation (MDR / FDA) | Theory | Software as a Medical Device (SaMD), ISO 13485 and regulatory approval lifecycles |
| DHI215 | Clinical Trial Management Systems (CTMS) | Practical | Electronic data capture (EDC), Good Clinical Practice (GCP) informatics |
| DHI216 | Health Data Visualisation & Dashboard Design | Practical | Interactive clinical dashboards using Tableau/PowerBI for hospital leadership |
| Code | Module Title | Type | Course Learning Outcome & Focus |
|---|---|---|---|
| DHI301 | Artificial Intelligence & Neural Networks in Diagnostics | Practical | Deep learning for pathology slide analysis, CNNs for chest X-ray screening |
| DHI302 | Bioinformatics & Genomic Data Analytics | Practical | Next-generation sequencing (NGS) data pipelines, variant calling and VCF analysis |
| DHI303 | Blockchain & Distributed Ledgers in Healthcare | Theory | Decentralized identity, pharmaceutical supply chain tracking and consent management |
| DHI304 | Cloud Computing & Serverless Architectures in Health | Practical | AWS/Azure healthcare environments, HIPAA-compliant serverless workflows |
| DHI305 | Digital Health Product Management & Agile Methods | Theory | Scrum in healthcare, user story mapping and software development lifecycle |
| DHI306 | Research Methodology in Health Informatics | Practical | Designing quantitative and qualitative evaluation studies for health IT |
| Code | Module Title | Type | Course Learning Outcome & Focus |
|---|---|---|---|
| DHI311 | Precision Medicine & Multi-Omics Data Integration | Theory | Pharmacogenomics, phenotype-genotype databases and personalized therapies |
| DHI312 | Ethics of AI in Healthcare & Bias Mitigation | Theory | Algorithmic transparency, demographic bias in diagnostic models and ethical oversight |
| DHI313 | Applied Capstone Project in Digital Health | Practical | End-to-end design, implementation and defense of a clinical software solution |
| DHI314 | Digital Transformation Seminar in Swiss Healthcare | Theory | Evaluation of electronic patient record (EPR/EPD) rollouts in Switzerland |
| DHI315 | Clinical Informatics Professional Portfolio & Defense | Practical | Comprehensive technical portfolio, code repositories and oral examination |
| DHI316 | Emerging Technologies in Health: Quantum & Robotics | Theory | Quantum computing in molecular simulation and surgical robotic interfaces |
Recognized upper-secondary qualification (Swiss Matura, International Baccalaureate, or foreign equivalent). English proficiency IELTS 6.0+ or equivalent.
Secondary academic preparation in natural or quantitative sciences; commitment to healthcare systems, epidemiology, or health administration.