SWITZERLAND DIGITAL THINKING GLOBAL PERSPECTIVE
Executive Doctoral Pathways Programme Code 709 Computer Science & Software Engineering

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