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Doctor of Business Administration Mumbai

The online DBA course syllabus in mumbai structured across 2 years and 4 semesters in Mumbai 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

  • Decoding research
  • Research design decisions and strategies
  • Applying the research process
  • Business and management research essentials

Formulating Research Topic And Literature Review

  • Formulating a research question
  • Writing a research proposal
  • Writing a literature review

Quantitative Methods

  • Descriptive statistics,
  • Difference in means
  • Correlation, linear regression models
  • Panel data models, Logit and Probit models

Qualitative Methods

  • Methods and fundamentals of qualitative research
  • Choose qualitative research methods
  • Grounded theory, discourse analysis, feminist and postcolonial studies, and historical research
  • Qualitative data interpretation and coding
  • Qualitative comparative analysis

Data Collection Techniques (Optional)

  • Fundamentals of quantitative data collection and
  • secondary data sources
  • Collecting and evaluating primary data
  • Collecting primary qualitative data through observation
  • Collecting primary qualitative data through interviews

Access To Data (Optional)

  • Negotiating access to data
  • Research ethics and managing data

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

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