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