SWITZERLAND DIGITAL THINKING GLOBAL PERSPECTIVE
Executive Doctoral Pathways Programme Code 722 Computer Science & Software Engineering

Executive Doctorate in Enterprise Architecture

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