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Online DBA Course Syllabus/Subjects

The online DBA course syllabus is bifurcated into 2 years or 4 semesters, which helps you in understanding that in the 1st year, you will acknowledge basic management or related information or skills, while in the 2nd year, you can grasp skills in particular specializations (HR, operations, business analytics, IT, or marketing) in management programs.

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

  • What is Qualitative Research and Common Misconceptions
  • Choosing Qualitative Research Method (Cases Study, Ethnography, Narrative, and Phenomenology)
  • Qualitative Research Approaches (Grounded Theory, Discourse Analysis, Feminist and Post-colonial Studies, and Historical Research)
  • Qualitative Data Interpretation and Coding
  • Qualitative Comparative Analysis

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

  • Negotiating access to data
  • Research ethics and managing data

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.

Business Environment, Strategy, And Innovation In The Digital Age

  • Business strategy essentials
  • Portfolio of a firm
  • Becoming a market leader and sustaining growth
  • Value creation through digital models
  • Growing a digital platform

Leadership Skills-Leading People, Organizations, And Change

  • Leading teams and organizations
  • Group decision making
  • Change management
  • Bonus: Leadership and Entrepreneurship Masterclass

Milestones

  • Research Proposal
  • Literature Review
  • Draft Methodology
  • Data Analysis
  • Final Dissertation

Learning Interventions

Core Subjects

  • 1:1 Thesis supervision sessions
  • doubt resolution sessions
  • and live sessions

Electives / Specialization Subjects:

1 elective subject available:

  • Apply research skills to conduct and present doctoral-level dissertation work.
Support Desk

Subjects/Syllabus FAQs

What is covered in the online DBA syllabus ?

The curriculum covers foundational doctoral research, qualitative and quantitative methods, business strategy, innovation, and leadership, followed by specialization electives and a final dissertation.

How many semesters or modules are in the online DBA program ?

The Online DBA program is generally structured into multiple research-focused modules rather than traditional semesters. These modules cover areas such as doctoral research, research topic formulation, quantitative and qualitative methods, data collection, and data access, followed by the development and completion of the doctoral research project.

Are specialization subjects included alongside core subjects ?

Yes, candidates can choose from various electives and specializations such as digital marketing, finance, artificial intelligence, and operations management.

Do I need to learn data collection and analysis techniques for Online DBA ?

Yes, the syllabus includes dedicated modules on quantitative methods (regression, statistics), qualitative coding, and primary or secondary data collection techniques.

Is there a thesis or dissertation requirement in the Online DBA curriculum ?

Yes, major milestones include a research proposal, a comprehensive literature review, draft methodology, data analysis, and a final dissertation supervised via 1:1 sessions.

Is the online DBA curriculum suitable for working professionals ?

Yes, the syllabus is designed with flexible learning interventions, live doubt-resolution sessions, and self-paced modules tailored for busy executives.

Does the syllabus include practical leadership training ?

Yes, specific modules focus on leading teams and organizations, group decision-making, change management, and a leadership and entrepreneurship masterclass.

Are research ethics and academic writing part of the course ?

Yes, early modules strictly focus on formulating research questions, navigating research ethics, managing data access, and writing structured research proposals.

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