Online DBA in Data Science Course Syllabus/Subjects
The Online DBA in Data Science syllabus is structured across 2 years or 4 semesters, allowing learners to build their knowledge progressively. In the first year, the curriculum focuses on core areas of business management, research methodology, data-driven decision-making, and strategic management. The second year emphasizes advanced data science concepts such as business analytics, predictive analytics, artificial intelligence, machine learning, data management, and applied data-driven research, helping professionals develop specialized expertise for senior management, technology leadership, consulting, and strategic decision-making roles.
Syllabus/Curriculum
Foundations Python
Core Subjects
- Business Analytics
- Artificial Intelligence and Machine Learning
Electives / Specialization Subjects:
1 elective subject available:
- Develop research skills to conduct and present doctoral-level research effectively.
Business forecasting and projections
- Business Predictive Analysis
- Mathematics for Machine Learning
Subjects/Syllabus FAQs
The syllabus builds a strong technical baseline starting with Foundations Python. From there, core subjects dive deep into Business Analytics and Artificial Intelligence and Machine Learning.
Yes, the curriculum features a dedicated module on Foundations Python, ensuring executives have the coding proficiency required to manage advanced data analytics.
The syllabus includes a specific section dedicated to Business forecasting and proj. Within this module, you will master Business Predictive Analysis to accurately forecast market trends and organizational outcomes.
Yes, to fully grasp the algorithms driving modern business technology, students complete a specialized subject in Mathematics for Machine Learning.
AI is a central pillar of the curriculum. You will study Artificial Intelligence and Machine Learning as a primary subject alongside core Business Analytics.
Yes, the syllabus offers elective and specialization subjects specifically designed to help you develop research skills to conduct and present doctoral-level research effectively.
The curriculum bridges the gap between raw data and business strategy through targeted subjects like Business Analytics and Business Predictive Analysis.