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

MI & 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