Post-Graduate Diploma in Management (Artificial Intelligence & Data Science)

About Programme

PGDM (AI & DS) is an AICTE-approved two-year full-time specialized program for any graduates who are passionate about shaping various career paths like Data Scientist, AI Engineer, Business Analyst, and Machine Learning Engineer. In the first year, students complete core courses that provide a strong foundation in AI Data Science, Machine Learning, Deep Learning, Predictive Analytics, and Summer Internship while in the second year, they get exposure and hands-on experience on recent technologies Gen-AI, RPA, NLP, Data Engineering and Modelling related courses of technology and management domains. At the same time, students also get exposure to independent projects, seminars, and finally, end with a capstone project of a 5-month duration. The idea behind the capstone project is to leave an impact on the recruiters on the programs delivery and to create confidence and empower students to face real world challenges.

Programme Intake – 60

Artificial Intelligence & Data Science

The global market for data science (DS) and artificial intelligence (AI) has shown enormous growth in recent years and is expected to continue growing quickly. The AI market was estimated to be worth US$ 196.63 billion in 2023 and is projected to grow to US$ 1.87 trillion by 2032. The adoption of AI and Data Science is not limited to the Computer Science domain, but it has grown across various industries such as healthcare, finance, retail, and manufacturing fields. AI and Data Science are no longer just emerging trends; they are now essential components for businesses to remain competitive and innovative.

PGDM in AI DS program focuses on cutting-edge tools and technologies like Data Analytics, Machine Learning Applications, Cloud Computing Technology, Data Warehousing, Visualization, Deep Learning and Reinforcement Learning, Computer Vision, Natural Language Progressing, Generative AI, and so on.

The acquired skills evolve aspirants to shape their future as Data Scientists, AI / ML developers, AI / ML engineers, AI consultants, Data Architects, Analytics Associates, Data Analyst, AI Operations (AIOps) Engineer etc.