MBA Business Analytics at Parul University: The IEP-MBA with KPMG

Over the past decade, the MBA trajectory in India has significantly moved towards analytical and data-led personalisations. And keeping that factor in mind, the IEP-MBA Business Analytics programme is in sync with the global player KPMG, which combines the roots of management with the analytical exposure as well.

This article documents the IEP-MBA Business Analytics programme at Parul University, the broader Business Analytics specialisation pathway, the internship outcomes the programme has produced, and the career trajectories available to graduates. The companion article documents the specific journey of Pooja Jaiswal, an IEP-MBA student currently completing a paid internship at The Times of India, as the concrete case study illustrating the broader programme architecture.

The IEP-MBA at Parul University is structured as an industry-endorsed MBA programme delivered in collaboration with KPMG, one of the four largest professional services networks globally. The collaboration brings industry-current frameworks, applied analytical tools, and structured exposure to professional services thinking into the MBA curriculum. The Business Analytics specialisation sits within this broader programme structure as one of the specialised tracks students can pursue.

• Industry partnership as structural input. The KPMG collaboration shapes curriculum content, training modules, and the practical exposure that students receive across the programme. The partnership is not a branding arrangement. It functions as a content and delivery partnership where the industry partner’s frameworks inform what students actually learn.
• The two-year structure. The IEP-MBA operates on the standard two-year MBA timeline, structured around foundational management training in the first year and specialisation depth in the second year, alongside structured internship and placement preparation throughout.

Specialisation focus. Business Analytics as the specialisation track combines management foundations with quantitative analysis, data interpretation, business intelligence tools, and the broader analytical capabilities that contemporary corporate roles require.

The Business Analytics specialisation has become one of the most consequential specialisations within Indian MBA education over the past five years. The reasons are structural rather than fashionable.

• Data has become operational, not advisory. Most corporate roles now operate inside data-driven decision environments: marketing teams plan from analytics dashboards, operations teams optimize from real-time data, product teams iterate based on usage data. MBAs without analytical fluency face a structural disadvantage from day one.
• Junior analyst roles have multiplied. Companies have created substantial volumes of analyst-level positions across product, marketing, operations, and business intelligence analytics. These serve as entry points for MBA graduates building toward senior strategic positions.
• Generative AI has expanded rather than replaced analytical work. AI tools have not reduced demand for analytical capability. They have shifted work toward higher-order interpretation and judgement, which require the analytical foundation Business Analytics programmes provide.
• Career pivot capability. Business Analytics functions as a versatile foundation for moving between industries and functions throughout a career. Graduates can move into product management, consulting, financial analysis, operations strategy, and related roles without major retraining.

One of the structural features of the IEP-MBA programme at Parul University is its accommodation of students from non-business undergraduate backgrounds. The Business Analytics specialisation is particularly suited to this kind of pivot.

The reason is rooted in what Business Analytics actually requires. The discipline draws on pattern recognition, structured problem decomposition, hypothesis testing, and analytical rigour, capabilities that students from engineering, science, biology, and other quantitative undergraduate backgrounds typically already possess. The MBA programme adds the management context, business framing, and applied decision-orientation that translate those underlying analytical capabilities into business value.

Pooja Jaiswal’s pivot from a Biotechnology bachelor’s degree to the IEP-MBA Business Analytics programme is a representative example of this pathway. Her science background had developed pattern-recognition and structured-thinking capabilities that translated into Business Analytics work, even though the specific knowledge content was substantially different. The full narrative of her career pivot is documented in the companion article, but the broader point is that students from non-business undergraduate backgrounds are not at a disadvantage in the programme. They are bringing different but complementary preparation.

• Mathematics as the bridgeable gap. Students from non-quantitative backgrounds may initially find calculation work challenging. Foundational coursework, peer support, and mentor engagement bridge this gap.
• The peer learning culture. Diverse undergraduate composition means students with stronger quantitative preparation support peers with weaker quantitative preparation, while peers with stronger communication backgrounds support those needing non-technical preparation. The bilateral exchange compresses learning timelines.
• Mentor support structures. Faculty and senior students provide structured support during the first year when the gap between undergraduate preparation and MBA requirements is widest.

The IEP-MBA programme treats internships as integral rather than supplementary. The summer between the first and second year is the structured internship period for most MBA programmes in India, and the Parul University programme follows this rhythm with significant institutional support for placement and internship coordination.

• The Training and Placement Cell as central infrastructure. Parul University’s Training and Placement Cell coordinates the broad recruitment ecosystem that MBA students access during the internship phase. Multi-year corporate relationships have produced consistent recruitment pipelines across sectors including media (The Times of India), FMCG (Dabur), professional services, financial services, retail, and consumer products.
• Class group communication channels. Beyond formal placement coordination, unofficial class communication groups serve as the operational layer where Class Representatives share internship and placement opportunities in real time. Students who engage actively with these channels tend to access opportunities earlier than students who rely only on formal coordination.
• Paid vs unpaid internship strategy. Students with financial obligations to manage often filter aggressively toward paid internships. The Parul University Training and Placement Cell maintains relationships with both paid and unpaid opportunity sources, allowing students to target according to their specific constraints.
• Location flexibility. Internships are available both in Vadodara (allowing students to remain on campus for ongoing coursework) and in other cities, depending on the role and the student’s flexibility. Some students explicitly prefer Vadodara-based internships to avoid the cost and disruption of secondary relocation.

The IEP-MBA programme’s internship infrastructure produced one specific outcome worth examining in detail: Pooja Jaiswal’s paid Sales and Marketing internship at The Times of India during the summer of 2026.

• The brand. The Times of India is among India’s largest and most established media organisations. An MBA internship at TOI carries brand recognition value independent of the role specifics, particularly for early-career professionals building credentialed work histories.
• The role. Sales and Marketing Intern in the Revenue Department of Marketing (RDM), with responsibilities spanning customer outreach, subscription explanation, follow-up management, field visits for gift delivery, customer data management, and weekly subscription target delivery.
• The duration. 45 days, from May 25 to July 10, 2026, with office hours of 10 AM to 6 PM. The duration is sufficient for substantive professional learning while being compatible with the broader MBA programme calendar.
• The compensation. Paid, which addressed Pooja’s specific filtering criteria for internship opportunities given her financial situation as a student studying away from her home state.
• The performance outcome. She exceeded the weekly subscription target of five by securing seven subscriptions in one week, a 40% over-performance, and was appointed leader of an 11-member team within her first week. Both outcomes provide verifiable evidence of capability.
• The wider relevance. Pooja’s TOI internship represents one specific outcome from the broader IEP-MBA programme’s internship infrastructure. Comparable outcomes are accessible to other students engaging actively with the programme’s placement and class-group communication channels.

The skill stack that MBA Business Analytics students actually build during internships is broader than course descriptions typically suggest. Pooja’s TOI experience surfaced this clearly: the technical skill requirements were modest (Excel-level), while the soft skill requirements were continuous.

• Communication and pitch construction. The ability to structure information for diverse audiences in real time. Pooja Jaiswal‘s customer-facing work required communicating subscription value differently for each customer depending on their needs and reservations.
• Rejection handling. Sales-oriented work inevitably involves rejection. Learning to handle rejection without internalising it as personal failure is a foundational professional skill that internships develop directly.
• Team management and motivation. Pooja’s appointment as team leader within her first week required her to manage dashboards, targets, and morale across an 11-member team. Team leadership at this stage of a career is unusual and developmentally significant.
• Cross-linguistic collaboration. India’s regional language diversity creates real operational challenges for students working in states different from their linguistic origin. Pooja’s work with Gujarati-speaking customers required collaboration with Gujarati-speaking teammates, building the practical capability to operate across linguistic boundaries.
• Punctuality and trust in delivery. Customer-facing work makes promise-keeping operationally visible. Internships that involve customer interaction reinforce the link between trust and operational performance in ways that classroom training rarely matches.
• Data management and confidentiality. Handling customer data, including identification details, requires specific care around confidentiality, accuracy, and ethical handling, skills that classroom analytics courses introduce but only practical work fully consolidates.

MBA Business Analytics graduates in India enter a wide range of career trajectories depending on industry interest, performance during the programme, and the specific internships and projects that anchor their resumes by graduation. The Training and Placement Cell at Parul University coordinates placement engagement across multiple sectors.

• Product Manager and Product Data Analyst roles. Technology companies, e-commerce platforms, and consumer product organisations recruit MBA Business Analytics graduates into product management and product data analyst roles where the combination of management context and analytical capability is directly applied.
• Business Intelligence and Analytics consulting. Professional services firms, including KPMG itself and the broader Big Four ecosystem, recruit MBA Business Analytics graduates into business intelligence, advisory, and analytics consulting roles.
• Marketing analytics and growth roles. Consumer brands across FMCG, e-commerce, retail, financial services, and digital businesses recruit Business Analytics graduates into marketing analytics, growth, and CRM roles.
• Operations analytics and supply chain. Manufacturing, logistics, retail, and operations-heavy industries recruit Business Analytics graduates into operations analytics, supply chain optimisation, and process improvement roles.
• Entrepreneurial trajectories. Graduates with entrepreneurial direction often spend three to five years in corporate roles before launching independent ventures. Pooja Jaiswal’s stated career arc, corporate work in product or analytics roles followed by an own-business launch, follows this pattern.