SWITZERLAND DIGITAL THINKING GLOBAL PERSPECTIVE
Executive Doctoral Pathways Programme Code 718 Health Informatics & Computational Biology

Executive Doctorate in Digital Health Innovation

An applied Swiss-inspired curriculum combining algorithmic rigour, systems architecture, digital trust and practical engineering capability for modern technology leaders.

Duration 3 Years (Supervised Research Stages)
Curriculum Model Applied Research Candidate
Delivery Mode Executive Mentorship & Research Seminars
Next Intakes Cohort-Based Admission
CURRICULUM ARCHITECTURE

Academic Overview & Learning Objectives

The Executive Doctorate in Digital Health Innovation at Brookfield School of Computing is engineered to provide deep competency across core computer science, systems design, and targeted domain applications. Students develop fluency in software craftsmanship, distributed architectures, algorithm optimization, and data governance.

Instruction balances rigorous theoretical foundations with practical code repositories, laboratory simulations, and ethical technology review aligned with modern international computing standards.

Modular code development & test coverage
Secure systems design & vulnerability mitigation
Distributed computing & cloud orchestration
Ethical technology & algorithmic transparency
MODULAR SYLLABUS

Curriculum Structure by Academic Section

Stage 1 - Applied Research Foundations & Design
9 Modules
Code Module Title Type Discipline & Learning Outcome
DOC101 Philosophy of Technical Sciences & Epistemology in Digital Health Innovation Theory Examine computational ontology, paradigm shifts, falsificationism and scientific epistemology in Digital Health Innovation.
DOC102 Doctoral Research Methodology & Design Science Research in Digital Health Innovation Theory Formulate Hevner's Design Science Research guidelines, rigor vs relevance cycles and doctoral artifact design in Digital Health Innovation.
DOC103 Empirical Research Formulation & Quantitative Inquiry in Digital Health Innovation Practical Design formal empirical investigations, controlled computational experiments and statistical hypothesis test suites in Digital Health Innovation.
DOC104 Theoretical Frameworks & Advanced Systems Modeling in Digital Health Innovation Theory Deconstruct axiomatic systems models, state transition systems and formal verification in Digital Health Innovation.
DOC105 Computational Experimentation & Statistical Verification in Digital Health Innovation Practical Execute Monte Carlo simulations, power calculations and non-parametric statistical tests in Digital Health Innovation using R and Python.
DOC106 Critical Literature Synthesis & State-of-the-Art Analysis in Digital Health Innovation Theory Perform systematic literature reviews (PRISMA), meta-analyses and theoretical gap identification in Digital Health Innovation.
DOC107 Systems Epistemology & Architectural Thinking in Digital Health Innovation Theory Evaluate socio-technical systems theory, emergence in complex adaptive architectures and structural decoupling in Digital Health Innovation.
DOC108 Research Ethics, Responsible Innovation & Swiss Standards in Digital Health Innovation Practical Audit doctoral research protocols against Swiss human research ethics, algorithmic safety and data governance in Digital Health Innovation.
DOC109 Doctoral Research Scoping & Initial Proposal Portfolio in Digital Health Innovation Theory Author the preliminary doctoral scoping portfolio defining novel research questions, significance and scope in Digital Health Innovation.
Stage 2 - Advanced Proposal & Literature Synthesis
9 Modules
Code Module Title Type Discipline & Learning Outcome
DOC201 Advanced Doctoral Proposal Defense & Technical Roadmap in Digital Health Innovation Theory Defend the comprehensive doctoral research proposal, methodology and experimental roadmap in Digital Health Innovation before a faculty panel.
DOC202 Empirical Prototyping & Research Artifact Engineering in Digital Health Innovation Practical Construct the foundational computational artifact, reference architecture and experimental software testbed in Digital Health Innovation.
DOC203 Advanced Statistical Learning & Model Evaluation in Digital Health Innovation Theory Derive generalization bounds, cross-validation asymptotics and high-dimensional estimation theory in Digital Health Innovation.
DOC204 Field Experimentation & Data Collection Methodology in Digital Health Innovation Practical Deploy telemetry collectors, empirical logging probes and instrumentation across production testbeds in Digital Health Innovation.
DOC205 Enterprise Systems Integration & Sociotechnical Impact Analysis in Digital Health Innovation Theory Analyze organizational adoption dynamics, human-in-the-loop interfaces and sociotechnical integration barriers in Digital Health Innovation.
DOC206 Intellectual Property, Open Research & Technical Dissemination in Digital Health Innovation Practical Manage doctoral software patent disclosures, dual-licensing models and open-source scientific repository governance in Digital Health Innovation.
DOC207 Technology Innovation Strategy & Industrial Research Collaboration in Digital Health Innovation Theory Structure university-industry research partnerships, industrial consortium agreements and technology transfer in Digital Health Innovation.
DOC208 Mid-Candidature Doctoral Milestone & Progress Review in Digital Health Innovation Theory Successfully pass the comprehensive mid-candidature doctoral review demonstrating substantial empirical progress in Digital Health Innovation.
DOC209 Applied Research Colloquium & Working Paper Series in Digital Health Innovation Practical Present working research papers, collect expert peer critique and author academic pre-prints in Digital Health Innovation.
Stage 3 - Practice-Based Investigation & Project
9 Modules
Code Module Title Type Discipline & Learning Outcome
DOC301 Doctoral Fieldwork & Experimental Artifact Evaluation in Digital Health Innovation Practical Conduct exhaustive empirical fieldwork and evaluate the research artifact across multi-organization deployments in Digital Health Innovation.
DOC302 Comprehensive Data Analysis & Computational Verification in Digital Health Innovation Practical Perform advanced statistical triangulation, sensitivity analysis and algorithmic verification of empirical data in Digital Health Innovation.
DOC303 Doctoral Dissertation Drafting: Architectural & Empirical Synthesis in Digital Health Innovation Theory Draft dissertation core chapters: theoretical foundation, artifact architecture and empirical findings in Digital Health Innovation.
DOC304 Doctoral Dissertation Drafting: Results Validation & Benchmarking in Digital Health Innovation Practical Author dissertation comparative benchmark chapters validating novel contributions against state-of-the-art baselines in Digital Health Innovation.
DOC305 Academic Journal Manuscript & Peer Review Preparation in Digital Health Innovation Theory Prepare high-impact peer-reviewed journal submissions conforming to top-tier ACM/IEEE editorial standards in Digital Health Innovation.
DOC306 Industry Technology Transfer & Executive Briefing in Digital Health Innovation Practical Synthesize academic findings into actionable executive advisories and commercial technology transfer briefs in Digital Health Innovation.
DOC307 Final Doctoral Dissertation Submission & Quality Audit in Digital Health Innovation Practical Complete the full academic dissertation manuscript and pass formal institutional originality audits in Digital Health Innovation.
DOC308 Doctoral Oral Defense (Viva Voce) Preparation in Digital Health Innovation Theory Master academic rhetorical defense, anticipate committee objections and articulate unique scholarly contributions in Digital Health Innovation.
DOC309 Final Executive Doctoral Defense & Research Dissemination in Digital Health Innovation Practical Successfully defend the doctoral dissertation in public viva voce examination and disseminate scholarly findings in Digital Health Innovation.
Pathway Snapshot
  • Target Award Executive Doctorate in Computing
  • Study Level Executive Doctoral Pathways
  • Language English
  • Delivery Executive Mentorship & Research Seminars
Eligibility Guidelines

Master’s degree in computing or related quantitative discipline with significant technology leadership experience. Research concept proposal required.

Institutional Disclosure

Brookfield School of Computing is an independent private education institution in formation. Academic programmes, entry requirements, fees and awards are subject to institutional review and applicable Swiss legal regulations.