Online DBA Program Syllabus Bangalore
The online DBA course syllabus in Bangalore structured across 2 years and 4 semesters in Bangalore enables professionals to build foundational management skills in the first year before advancing to specialized disciplines like HR, operations, business analytics, IT, or marketing during the second year.
Syllabus/Curriculum
Introduction to Doctoral Research
Core Subjects
- Foundational Concepts in Academic Research
- The Nature and Types of Academic Research
- Key Terminologies in Doctoral Research
- Features of Business and Management Research
- Steps in the Doctoral Research Process
Electives / Specialization Subjects:
1 elective subject available:
- Develop research skills to conduct and present doctoral-level research effectively.
Formulating Research Topic And Literature Review
Core Subjects
- Formulating a Research Question
- Writing a Research Proposal
- Developing a Strong Research Design
- Literature Review: relevance, types, approaches, and methods
- Drafting the Literature Review
Electives / Specialization Subjects:
1 elective subject available:
- Articulate a well-defined research topic and identify relevant sources and evaluate their credibility and conduct a comprehensive literature review.
Quantitative Methods
Core Subjects
- Fundamentals of Quantitative Data Collection
- Secondary Data Sources
- Collecting and Evaluating Primary Data
- Qualitative Data Collection Methods
- Data Validity and Reliability, Quality of Data
- Ethical Considerations in Data Collection
Electives / Specialization Subjects:
1 elective subject available:
- Explore various data collection methods and techniques and ethical considerations necessary for effective and rigorous data collection.
Qualitative Methods
Core Subjects
- Fundamentals of Quantitative Methods and Descriptive Statistics
- Difference in Means and Correlation
- Simple Linear Regression Model
- Multiple Linear Regression Model
- Panel data Models
- Logit and Probit Models
- Endogeneity Issues
Electives / Specialization Subjects:
1 elective subject available:
- Explore statistical techniques and data analysis methods essential for conducting robust quantitative research.
Data Collection Techniques (Optional)
Core Subjects
- Gaining Access to Data - Physical and Virtual Access
- Strategies to Gain Access to Data
- Different Stages of Research Ethics
- Factors Affecting Research Conduct
- Data Processing and Storage
- Data Analysis and Reporting
Electives / Specialization Subjects:
1 elective subject available:
- Explore qualitative data collection and analysis techniques essential for conducting robust qualitative research.
Access To Data (Optional)
Core Subjects
- Gaining Access to Data - Physical and Virtual Access
- Strategies to Gain Access to Data
- Different Stages of Research Ethics
- Factors Affecting Research Conduct
- Data Processing and Storage
- Data Analysis and Reporting
Electives / Specialization Subjects:
1 elective subject available:
- Develop the practical skills required to navigate the landscape of diverse data sources and gain access to them.
Leadership Judgment In An AI-Driven World
- Understanding how AI influences decisions and outcomes
- Identifying limits of automation and where leadership judgment matters
- Evaluating AI-driven insights, risks, and biases
- Framing the right executive questions for AI-led decisions
AI-Enabled Strategic Foresight And Opportunity Framing
- Using AI to expand strategic thinking and explore opportunities
- Generating and testing hypotheses using AI-supported analysis
- Evaluating opportunities through structured reasoning
- Framing high-quality strategic and business opportunities
AI-Augmented Executive Judgment And Influence
- Strengthening strategic reasoning and decision-making
- Using AI for synthesis, sense-making, and insight generation
- Enhancing executive communication and thought leadership
Dissertation Phase
Core Subjects
- Introduction to Research
- Identifying the Research Problem
- Conducting Literature Research and Review
- Structuring and Drafting a Literature Review
- Formulating a Research Question and Hypothesis
- Choosing a Research Method
- Collecting and Analyzing Data
Electives / Specialization Subjects:
1 elective subject available:
- Apply research skills to conduct and present doctoral-level dissertation work.
Subjects/Syllabus FAQs
The curriculum covers advanced core modules including global strategic management, applied business research methods, quantitative and qualitative data analysis, corporate governance, and leadership frameworks tailored for executive decision-making.
Yes, students can choose from a wide range of specialized electives such as Artificial Intelligence, Data Science, FinTech, Healthcare Management, Supply Chain Management, and International Marketing depending on their career focus.
The program is typically divided into foundational coursework and research phases, where the first 12 to 18 months focus on advanced business modules and research methodology, followed by extensive thesis work and dissertation writing.
Course delivery combines live online masterclasses, interactive webinars, self-paced digital modules, case study analysis, and one-on-one faculty mentorship to accommodate working professionals.
Yes, candidates are required to conduct an independent, applied research project and successfully defend their doctoral dissertation as the final step toward earning the DBA degree.
Yes, the academic board regularly updates the curriculum to incorporate modern technological advancements, emerging business models, and contemporary global market dynamics.
Students receive dedicated academic guidance, including assigned research supervisors, access to extensive digital libraries, research databases, and workshops on publishing academic and industry papers.