MBA Strategy & Consulting in Collaboration with KPMG - Business Strategy & Transformation

The MBA in Business Analytics, delivered at UPES in collaboration with KPMG, is designed to build advanced analytics capability and data-driven decision-making for today’s data-centric business environment. The KPMG collaboration strengthens industry relevance through mentorship, workshops, case studies and capstone projects aligned with current business analytics requirements, alongside classroom learning, hands-on lab sessions, live industry projects, internships and expert interactions.

Building on this strong analytics + consulting foundation shaped by KPMG-led industry practices, the Generative AI for Business specialisation prepares future business leaders to apply generative models, large language models and AI-driven automation in real-world business contexts. Students gain exposure to industry-aligned consulting frameworks and AI-powered solutions, helping organisations drive innovation, efficiency and competitive advantage—while strengthening strategic thinking, structured problem-solving and data-driven decision-making for careers in Business Analytics.

• Strong focus on business applications of Generative AI, aligned with KPMG-style problem solving and organisational needs.
• Hands-on exposure to prompt engineering and AI-driven decision support.
• AI use cases integrated across marketing, operations, HR and finance.
• Emphasis on ethical, responsible and explainable AI in business settings.
• Case-based learning aligned with real organisational challenges.
• Practical exposure through projects, simulations and industry scenarios.
• Designed for managers and consultants working with AI-led transformations.

Generative AI is rapidly becoming a core enterprise capability, with organisations using it for content creation, customer service automation, decision intelligence and product innovation. This growth is being shaped by rapid GenAI adoption in marketing, consulting and analytics, along with the rising demand for AI-literate managers and increased use of AI copilots and decision-support systems. Other factors include AI-driven personalisation and customer experience transformation; stronger focus on AI governance, ethics and regulatory compliance and deeper integration of GenAI into enterprise workflows and digital platforms. Graduates can pursue roles across consulting, IT and technology services, BFSI, retail and e-commerce, FMCG, healthcare, startups and digital enterprises, including:

• Business Analyst (AI-focused)
• AI Strategy Analyst
• Product Manager – AI Solutions
• Digital Transformation Consultant
• Business Intelligence & AI Analyst
• Innovation & Strategy Consultant

Students receive structured placement support through career readiness programs, corporate interactions, live projects and recruitment drives. With the KPMG collaboration and industry-aligned learning approach, the specialisation strengthens employability for analytics, consulting and AI-driven business roles by aligning skills with current market demand.

Click here for detailed Fee Structure.

Interested students must meet the minimum eligibility criteria for the MBA in Business Analytics with specialisation in Generative AI for Business, in collaboration with KPMG, as stated below: Minimum 50% marks in Class X, XII and Graduation. Graduation From a recognized University in any stream.

The selection criteria for students who wish to pursue MBA in Business Analytics with specialisation in Generative AI for Business, in collaboration with KPMG, offered by UPES depend on the individual's performance in UPESMET / National Level Exams/ CUET followed by Personal Interview.

Non-Examination Pathways:

Students with a minimum eligible MAT / CMAT 2026 score of 70 percentile will be exempted from the UPES Management Entrance Test (UPESMET) and will be called only for the Group Discussion and Personal Interview, subject to qualification.

A valid score of 50 percentile or above in CAT 2025 / XAT 2026, a GMAT score of 400 or above, or a score of 120 or above in NMAT 2025–26 will also be accepted.

KPMG