Preparing Professionals For Data-Driven Business Environments With XLRI's PG Certificate In Business Analytics (PGCBA)

XLRI's Postgraduate Certificate in Business Analytics (PGCBA), offered in association with TalentSprint, Part of Accenture, equips working professionals with practical analytics skills rooted in academic rigour and industry learning.

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XLRI's programme is designed to shape how professionals think and decide.

Every organisation today has access to AI-driven analytics that can process data at speed. But analysis alone does not lead to better decisions. Markets still shift quickly, customer expectations change, and competitive pressure comes from unexpected directions. What increasingly matters is the ability to interpret insights, apply business context, and decide what action to take. As a result, careers and business outcomes are being shaped by professionals who can combine AI-powered analytics with sound business judgment.

Why Analytics is no longer optional

Analytics has become a core managerial capability. The global data and business analytics space will hit USD 448 billion by 2027. The Indian analytics economy will cross USD 182 billion by 2028 at nearly 24 percent CAGR [2]. Nasscom[3] expects the talent requirement to rise sharply, crossing the million mark to meet market demand.

Why the Postgraduate Certificate in Business Analytics matters

XLRI's Postgraduate Certificate in Business Analytics sits precisely at that intersection of business decision-making and applied data analytics. The programme is AICTE-approved, ensuring it meets stringent academic and industry standards. It is ideal for those who want to build a future-ready career without pausing professional commitment.

Dr Abhishek Chakraborty, Professor at XLRI, highlights the need of the hour:

"We are sitting in an ocean of data. From IoT networks and social platforms to transactional systems, data is everywhere. The real question is what we do with it. This programme is designed for people who want to turn that data into insight and insight into action."

XLRI's legacy

XLRI brings 75 years of management education excellence with rankings #1 IIRF 2025, #9 QS India 2024, #10 NIRF 2025 that adds credibility. The focus on practical application, strategic thinking, and real-world problem-solving differentiates from standard analytics courses.

Why this programme marks a turning point

The Postgraduate Certificate in Business Analytics brings together academic depth, industry application. TalentSprint, Part of Accenture, will enable digital outreach and digital learning support for the programme. 

Programme highlights designed for real outcomes

  • 12 months of live weekend sessions with five-day campus visit to XLRI Jamshedpur
  • Live online sessions led by XLRI faculty and seasoned industry experts
  • A curriculum designed around real-world business problem-solving
  • Case studies, projects, and assignments built on actual organisational datasets
  • Continuous academic and learning support through TalentSprint's digital platform
  • On-demand access to session recordings and discussion forums
  • Earn an industry recognized certificate from XLRI, approved by AICTE 
  • Gain XLRI alumni status and opportunity to network with 30,000+ alumni 
     

Structured learning curriculum with real-world relevance

The programme features a carefully sequenced curriculum, moving from foundational concepts to advanced business applications. It begins with a bridge module, followed by core modules on analytics-driven decision-making, data visualisation, predictive and machine learning, big data, forecasting, optimisation, and responsible use of AI.

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Electives allow participants to specialise based on career goals, combining depth, flexibility, and real-world business relevance.

Who will benefit most from this programme

This programme is designed for working professionals seeking stronger business decision-making through analytics. It is highly relevant for IT and technology professionals moving into business-facing roles, mid-career professionals combining domain expertise with analytics, and entrepreneurs or consultants driving insight-led growth.

Professionals from non-technical backgrounds are supported through a preparatory bridge module covering mathematics, Excel, SQL, Python, R, and programming logic. Organisations may also nominate high-potential employees as part of their capability and leadership development initiatives.

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Eligibility

  • Candidates must hold a bachelor's degree in Engineering (10+2+4) or a degree in Computer Science, Science, Commerce, or Business (10+2+3) from a recognized institution (UGC/AICTE/DEC/AIU/State Government)
  • Applicants should have a minimum of one year of professional work experience.
  • International candidates must possess an equivalent undergraduate qualification from a recognised university in their respective country.

Enabling smarter decisions across teams and organisations

While AI can process vast amounts of data and generate analysis at speed, it does not make business decisions on its own. The real advantage today lies in combining AI-driven insights with human judgment, context, and domain understanding. Participants develop the ability to work with intelligent analytics tools, interpret output meaningfully, and apply them to real business situations. The programme strengthens this blend of analytical expertise and managerial judgment, enabling professionals to connect data with strategy, weigh trade-offs, and lead decisions that deliver measurable business outcomes.

What comes next in Analytics

The next decade will favour professionals who can pair analytical intelligence with sound business judgment. XLRI's Postgraduate Certificate in Business Analytics is designed to shape how professionals think and decide, not simply add another credential. It helps participants with the frameworks, faculty guidance, and applied exposure needed to interpret analytics and AI-driven insights and use them confidently in real strategic and operational decisions. Click here to know more or register your interest.

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