Course Details

Online Post Graduate Diploma in Data Science - Specialization in Generative and Agentic AI is a comprehensive 24-month online program from IMI Bhubaneswar, designed for both working professionals and recent graduates. This AICTE-approved diploma mirrors the academic rigor and content of IMI's full-time programs, delivering essential knowledge and skills in both core management functions and advanced data science and AI applications. It's ideal for individuals seeking formal management education with a strong data-driven focus, especially those balancing work commitments or facing personal reasons preventing on-campus enrollment.

AICTE Approved Online PGDM with a Specialization in Data Science & Agentic AI from IMI Bhubaneswar



Program Overview

Online Post Graduate Diploma in Data Science - Specialization in Generative and Agentic AI is a comprehensive 24-month online program from IMI Bhubaneswar, designed for both working professionals and recent graduates. This AICTE-approved diploma mirrors the academic rigor and content of IMI's full-time programs, delivering essential knowledge and skills in both core management functions and advanced data science and AI applications. It's ideal for individuals seeking formal management education with a strong data-driven focus, especially those balancing work commitments or facing personal reasons preventing on-campus enrollment.

In Collaboration with DV Analytics



IMI & DV Data & Analytics Partner for Advanced Data Science & Gen AI Training


IMI has teamed up with DV Data & Analytics to deliver industry-aligned Advanced Data Science & Gen AI training, equipping students with hands-on skills. This collaboration connects learners with global placement opportunities, bridging the gap between education and real-world tech careers. Gain expertise in cutting-edge AI tools, work on live projects, and unlock high-growth job prospects worldwide.

Learning outcomes

1. Integrate Data Science & AI into Business Strategy: Understand the strategic implications of data science and AI, and apply these technologies to drive business growth, innovation, and competitive advantage across various industries.

2. Apply Core Management Principles: Demonstrate a strong understanding of fundamental management functions including planning, organizing, leading, and controlling, enhanced by data-driven decision-making.

3. Perform Data Analysis and Interpretation: Utilize statistical methods and analytical tools (e.g., SQL, Python, Excel) to collect, clean, analyze, and interpret complex datasets for actionable business insights.

4. Develop & Apply Machine Learning Models: Understand the principles of machine learning and AI and be able to apply common algorithms to solve business problems such as prediction, classification, clustering, and optimization.

5. Translate Data Insights into Business Recommendations: Effectively communicate complex data findings and analytical results to diverse stakeholders (technical and non-technical) through compelling data visualizations and storytelling, fostering data-driven decision-making.

6. Manage Data-Driven Projects: Lead and manage data science and AI projects, including defining project scope, managing resources, overseeing data pipelines, and ensuring ethical and responsible data usage.

7. Optimize Business Operations with AI: Leverage AI and data analytics to enhance operational efficiency, improve supply chain management, personalize customer experiences, and optimize resource allocation.

8. Understand Ethical & Governance Aspects of AI: Critically evaluate the ethical implications of AI deployment, understand data privacy regulations (e.g., GDPR, India's DPDP Act), and implement best practices for data governance.

9. Promote Innovation through AI & Data: Identify opportunities for new product development, service enhancement, and business model transformation by harnessing the power of data and artificial intelligence.

10. Adapt to Evolving Technologies: Develop a mindset for continuous learning and critically assess emerging trends and technologies in data science, AI, and their applications in the business world

Learning Applications