LBSIM PGDM AI & DS FAQs
Ques. Is prior programming experience required for PGDM AI and Data Science?
Ans. No, prior programming experience is not required for admission. However, the programme includes Python programming in Term 2 as part of the core curriculum. Students without prior programming experience can learn during the programme. The institute offers foundation courses including Basic MS Excel and Basic Statistics to help students bridge knowledge gaps before the programme starts.
Ques. What is the difference between PGDM AI and Data Science and PGDM Research and Business Analytics?
Ans. PGDM AI and Data Science focuses specifically on artificial intelligence, machine learning, and advanced data science techniques with specialized electives in AI applications. PGDM Research and Business Analytics emphasizes research methodologies and analytics with broader business analytics focus. AI and Data Science is ideal for students interested in cutting-edge AI technologies and machine learning applications.
Ques. What is the capstone project and how does it help in placements?
Ans. The capstone project is a mandatory 200-mark course spanning three trimesters (Term IV-VI) where students research a business problem and develop AI/DS solutions under faculty guidance. Students create a portfolio of real-life projects demonstrating their AI and data science skills. This portfolio-based approach significantly enhances placement prospects as companies can evaluate students' practical capabilities and project experience.
Ques. What are the career prospects after PGDM AI and Data Science?
Ans. Graduates pursue careers as Data Scientists, Machine Learning Engineers, AI Specialists, Analytics Managers, and AI Research Professionals. Typical employers include technology giants (Google, Microsoft, Amazon), consulting firms (McKinsey, BCG), financial institutions, and AI startups. The programme's innovative curriculum and industry partnerships ensure excellent career opportunities in the rapidly growing AI and data science sector with competitive compensation packages.
Ques. What technical tools and platforms are covered in the programme?
Ans. The programme covers Python programming, machine learning libraries (scikit-learn, TensorFlow, PyTorch), SQL and RDBMS, data warehousing tools, data visualization platforms, and emerging technologies like computer vision, natural language processing, and generative adversarial networks. Students also learn Bloomberg Market Concepts and complete online certifications in specialized AI and data science areas.
Ques. How does the summer internship work in this programme?
Ans. The 8-10 week summer internship after the first year provides practical exposure in real business environments. Students work on AI and data science projects with companies under guidance of both institute and corporate mentors. This internship helps students apply classroom learning to real-world AI and DS problems, build professional networks, and gain industry experience. Many students receive pre-placement offers (PPOs) based on their internship performance.
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