An applied Swiss-inspired curriculum combining algorithmic rigour, systems architecture, digital trust and practical engineering capability for modern technology leaders.
The DBA in Smart Manufacturing Management 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.
| Code | Module Title | Type | Discipline & Learning Outcome |
|---|---|---|---|
| DBA101 | Epistemology & Philosophy of Applied Business Research in Smart Manufacturing Management | Theory | Examine positivism, constructivism, critical realism and pragmatic epistemology in executive business research in Smart Manufacturing Management. |
| DBA102 | Strategic Leadership, Governance & Corporate Direction in Smart Manufacturing Management | Theory | Formulate executive governance models, boardroom strategic alignment and C-suite technology oversight in Smart Manufacturing Management. |
| DBA103 | Advanced Qualitative Research Design & Executive Interview Lab in Smart Manufacturing Management | Practical | Design semi-structured executive interview protocols, ethical consent mechanisms and qualitative sampling matrices in Smart Manufacturing Management. |
| DBA104 | Quantitative Methodologies & Econometrics in Smart Manufacturing Management | Theory | Derive multiple linear regression, panel data estimators, structural equation modeling (SEM) and factor analysis in Smart Manufacturing Management. |
| DBA105 | Applied Statistical Modeling & Corporate Decision Analytics in Smart Manufacturing Management | Practical | Analyze corporate survey and financial data using SPSS, R or SmartPLS to validate measurement models in Smart Manufacturing Management. |
| DBA106 | Systematic Literature Review & Conceptual Frameworks in Smart Manufacturing Management | Theory | Execute rigorous PRISMA systematic literature reviews and synthesize conceptual frameworks in Smart Manufacturing Management. |
| DBA107 | Economics of Digital Innovation & Platform Disruption in Smart Manufacturing Management | Theory | Analyze platform economics, multi-sided markets, switching costs, competitive moats and technological disruption in Smart Manufacturing Management. |
| DBA108 | Executive Data Analytics & Decision Support Systems in Smart Manufacturing Management | Practical | Build executive decision analytics models and corporate scenario simulations to inform strategic resource allocation in Smart Manufacturing Management. |
| DBA109 | Ethical Governance & Boardroom Accountability in Smart Manufacturing Management | Theory | Evaluate fiduciary responsibilities, stakeholder capitalism, corporate ESG metrics and executive research ethics in Smart Manufacturing Management. |
| Code | Module Title | Type | Discipline & Learning Outcome |
|---|---|---|---|
| DBA201 | Applied Doctoral Research Proposal Defense in Smart Manufacturing Management | Theory | Formally defend the doctoral research proposal, problem statement, methodology and contributions before faculty in Smart Manufacturing Management. |
| DBA202 | Corporate Fieldwork Pilot Study & Executive Methodology in Smart Manufacturing Management | Practical | Conduct preliminary pilot fieldwork, test survey instruments and refine qualitative interview protocols in Smart Manufacturing Management. |
| DBA203 | Strategic Risk Management, Compliance & Cyber Resilience in Smart Manufacturing Management | Theory | Evaluate enterprise risk management (COSO ERM), operational cyber resilience and corporate liability in Smart Manufacturing Management. |
| DBA204 | Survey Instrument Engineering & Psychometric Validation in Smart Manufacturing Management | Practical | Validate psychometric survey scales, Cronbach's alpha reliability, convergent validity and discriminant validity in Smart Manufacturing Management. |
| DBA205 | Organizational Change, Agility & Technology Adoption in Smart Manufacturing Management | Theory | Analyze Technology Acceptance Model (TAM/UTAUT), dynamic capabilities theory and organizational agility in Smart Manufacturing Management. |
| DBA206 | Corporate Case Study Development & Qualitative Coding in Smart Manufacturing Management | Practical | Execute thematic coding, grounded theory analysis and cross-case synthesis using NVivo / ATLAS.ti software in Smart Manufacturing Management. |
| DBA207 | Swiss & International Corporate Governance Regulations in Smart Manufacturing Management | Theory | Audit corporate compliance against Swiss Code of Best Practice for Corporate Governance and international standards in Smart Manufacturing Management. |
| DBA208 | Mid-Candidature Doctoral Review & Progress Defense in Smart Manufacturing Management | Theory | Defend mid-candidature empirical milestones and demonstrate significant primary data collection progress in Smart Manufacturing Management. |
| DBA209 | Executive Seminar: Business Impact of Research in Smart Manufacturing Management | Practical | Synthesize academic findings into actionable C-suite executive transformation playbooks and board presentations in Smart Manufacturing Management. |
| Code | Module Title | Type | Discipline & Learning Outcome |
|---|---|---|---|
| DBA301 | Applied Doctoral Field Investigation & Data Collection in Smart Manufacturing Management | Practical | Execute multi-organization primary data collection gathering quantitative survey metrics and executive interviews in Smart Manufacturing Management. |
| DBA302 | Empirical Data Triangulation & Cross-Case Synthesis in Smart Manufacturing Management | Practical | Triangulate qualitative findings with quantitative survey data and secondary financial corporate metrics in Smart Manufacturing Management. |
| DBA303 | Organizational Intervention & Transformation Analysis in Smart Manufacturing Management | Theory | Measure business impact, ROI realization, organizational productivity shifts and strategic performance metrics in Smart Manufacturing Management. |
| DBA304 | Doctoral Dissertation Drafting: Methodological Synthesis in Smart Manufacturing Management | Practical | Author dissertation chapters detailing research design, data collection rigor and analytical procedures in Smart Manufacturing Management. |
| DBA305 | Doctoral Dissertation Drafting: Strategic Implications in Smart Manufacturing Management | Theory | Synthesize theoretical implications for business scholarship and actionable strategic guidance for executives in Smart Manufacturing Management. |
| DBA306 | Peer Review Workshop & Executive Working Paper Series in Smart Manufacturing Management | Practical | Present findings at executive doctoral colloquia, collect peer reviews and prepare executive working papers in Smart Manufacturing Management. |
| DBA307 | Final Executive Dissertation Submission & Quality Review in Smart Manufacturing Management | Practical | Finalize the complete executive doctoral dissertation manuscript and pass institutional originality review in Smart Manufacturing Management. |
| DBA308 | Preparation for Doctoral Viva Voce & Oral Defense in Smart Manufacturing Management | Theory | Rehearse doctoral dissertation defense, defend methodological choices and articulate executive contributions in Smart Manufacturing Management. |
| DBA309 | Final DBA Dissertation Defense & Executive Dissemination in Smart Manufacturing Management | Practical | Successfully defend the DBA dissertation in oral viva voce examination and disseminate executive findings in Smart Manufacturing Management. |
Master’s degree in management or technology with senior executive leadership experience. Applied research concept required.
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.