Post-Graduate Diploma in Management
(Big Data Analytics)

About Programme

PGDM (Big Data Analytics) is an AICTE-approved two-year full-time specialized program for any graduates who are passionate about shaping a career in Big Data Analytics. In the first year, students complete core courses that provide a thorough, and integrated foundation in management & big data analytics essentials and summer internship while in the second year, they get exposure and hands-on experience on recent technologies related to big data analytics and some elective courses of technology and management domains. At the same time, students also get exposure to independent projects, seminars, and finally, end with industry project of a 5-month duration. The idea behind the industry project is to leave an impact on the recruiters on the program’s delivery and to create confidence and empower students to face “real world” challenges.

Programme Intake – 90

Big Data Analytics

The global Big Data and business analytics market stood at US$ 307.51 billion in 2023, and the market is projected to grow from USD 348.21 billion in 2024 to USD 924.39 billion by 2032. Big Data Analytics is the fastest-growing field nowadays, and more and more businesses are acknowledging the need to implement Big Data Analytics into their day-to-day operations. There is an ocean of opportunities for Big Data Analytics Professionals in the global market.

PGDM in Big Data Analytics program focuses on cutting edge tools and technologies like Big Data Analytics, Machine Learning Techniques & Applications, Python / R for Future Managers, Business Analytics, Intelligence & Forecasting, Enterprise Data Visualization, Data Warehousing and Data Mining, Deep Learning and Reinforcement Learning, Social Media and Social Networks Analytics, Time series and Forecasting Techniques & Analysis, Natural Language Progressing, Blockchain Technology and Cyber Terrorism and so on.

The acquired skills evolve aspirants to shape their future as Data Analysts/ Big Data Analysts, Data Scientists, Data Managers, Business Consultants, Data architects, Analytics associates, Analytics Managers, Business Intelligence and Analytics Consultants, Risk Analysts, Data Engineers, etc.