SWITZERLAND DIGITAL THINKING GLOBAL PERSPECTIVE
Executive Doctoral Pathways Programme Code 706 Computer Science & Software Engineering

Executive Doctorate in Digital Transformation

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