MBA - Artificial intelligence for Business

The MBA in AI for Business at UPES, in academic collaboration with EY India, is a two-year postgraduate program built for managers who want to use AI and analytics to drive strategy, growth and transformation. Students complete ~100 credits, with 40 credits delivered by EY experts (15 specialisation modules totalling ~ 600 hours), ensuring strong exposure to industry frameworks, tools and real-world business contexts.

The curriculum blends management fundamentals with applied AI for decision-making—covering business intelligence (Excel/Power BI), Python-based analytics, machine learning, GenAI, NLP/text analytics, forecasting, SQL/NoSQL, computer vision, and responsible AI and data ethics. Learning is strongly case-led and application-focused across functions such as marketing, finance, HR, operations and supply chain, helping graduates develop the confidence to translate data into action and lead AI-enabled initiatives.

• EY-designed and EY-delivered specialisation modules with industry tools and business use cases
• Strong emphasis on data-driven leadership, from discovery and prediction to strategic adoption
• Coverage of GenAI, Responsible AI and data ethics to support safe, credible deployment
• Functional application across marketing, finance, HR, operations and supply chain, supported by hands-on assignments

AI is now a core business capability—shaping automation, personalisation, forecasting and decision-making across sectors. Organisations increasingly need leaders who can bridge business and technical teams, govern AI responsibly, and convert AI investments into measurable outcomes. This program prepares graduates for roles across consulting, technology, BFSI, retail/e-commerce, healthcare, telecom, manufacturing and startups—particularly where analytics and AI are central to transformation.

Typical roles include:

• Analytics & BI: Business Analyst, Data Analyst, BI Analyst, Reporting & Insights Manager, Decision Analytics Consultant
• AI & Digital Transformation: AI Business Analyst, AI Strategy Associate, Digital Transformation Manager, Analytics Consultant, AI Program Manager
• Functional Analytics: Marketing Analytics Manager, Customer Insights Analyst; Financial Analytics Manager, Credit Risk Analyst, Fraud Analytics Specialist; HR Analytics Manager, Workforce Planning Analyst
• Business-facing Applied AI: Applied ML Analyst, AI Product Analyst, Predictive Analytics Manager, Model Monitoring & Performance Analyst
• GenAI & Innovation: Generative AI Consultant, AI Product Manager, Business Automation Manager, Innovation & Strategy Analyst
• Operations & Supply Chain: Operations Analytics Manager, Supply Chain Analytics Manager, Demand Forecasting Analyst, Process Optimisation Consultant
• Governance & Risk: Responsible AI Analyst, AI Governance & Compliance Manager, Data Risk & Privacy Analyst
• Longer-term pathways include product/strategy leadership, entrepreneurship, and advanced research routes.

Students benefit from placement support aligned to analytics- and AI-led career tracks, where hiring typically values practical capability with tools, problem-solving and business storytelling. With EY’s involvement in the specialisation modules, learners build industry-relevant exposure and a portfolio of applied work across functions such as marketing, finance, HR, operations and supply chain. Graduates are well positioned for opportunities across consulting, BFSI, technology, retail/e-commerce, telecom, healthcare, manufacturing and high-growth startups—particularly in roles spanning business analytics, BI, digital transformation, AI strategy and applied AI product teams.

Click here for detailed Fee Structure.