SWITZERLAND DIGITAL THINKING GLOBAL PERSPECTIVE
Executive Doctoral Pathways Programme Code 707 Cloud, Networks & Infrastructure

Executive Doctorate in Cloud and Platform Strategy

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