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