Where data-driven decision-making meets the human side of leadership.
The PGDM in Business Analytics, AI, Decision Sciences & Human-Centred Leadership prepares future managers to combine rigorous, data-driven decision-making with the human skills that make leadership effective. The specialisation integrates Business Analytics, Artificial Intelligence, Decision Sciences, Leadership, Emotional Intelligence and Human Behaviour, so graduates can make smarter decisions while understanding, motivating and inspiring the people around them.
Rather than producing a pure data scientist or a pure people manager, the programme develops a hybrid leader: someone who can frame a business problem analytically, interrogate data using modern AI and analytics tools, and then translate the insight into decisions that teams will actually adopt. This blend of quantitative capability and human-centred leadership is increasingly what organisations look for in their next generation of managers.
India is projected to become one of the world’s largest pools of AI and analytics talent by 2027, and management roles that sit between data teams and business leadership are among the fastest-growing across sectors. Employers consistently rank Business Analytics and AI among the highest-demand, highest-ROI MBA/PGDM specialisations.
As generative AI, predictive modelling and automated decision systems spread across every function, the scarce skill is no longer building models but governing them, interpreting them and leading the people who work alongside them. This specialisation is designed precisely for that gap.
Graduates from any discipline who enjoy working with numbers, data and evidence, and want to combine that with leadership responsibility.
Aspiring managers who want to move into analytics-led strategy, consulting or product roles without becoming full-time programmers.
Working professionals looking to transition into AI-enabled decision-making and people-leadership roles.
Beyond classroom learning, students complete industry-recognised certifications, hands-on projects and community engagement that build a job-ready portfolio:
IT & Technology
Management Consulting
Banking & Financial Services
E-commerce & Retail
Healthcare
Manufacturing
No. Graduates from commerce, arts, science and engineering backgrounds can all succeed. What matters is comfort with data and logical reasoning, both of which the programme builds progressively.
Common starting roles include Business Analyst, Analytics Consultant, Decision Scientist and Strategy Associate, with clear progression into analytics leadership, product management and AI-programme roles.