As data becomes increasingly central to business success, selecting the right master’s program can profoundly influence one’s career path. While a traditional MBA remains a popular choice, the MBA in Business Analytics is increasingly recognized as a superior alternative, given the critical role data plays in shaping strategic decisions across industries. As businesses embrace analytics to enhance competitiveness and innovation, the value of mastering data tools, techniques, and technologies cannot be overstated. Despite numerous institutions offering this emerging specialization, only a select few truly equip students with hands-on expertise and relevant knowledge. Among these, Global Business School & Research Centre (GBSRC) in Tathawade, Pune, the flagship institute of Dr. D. Y. Patil Vidyapeeth, stands out. Since its establishment in 2006, GBSRC has earned a distinguished reputation as one of India’s leading business schools, consistently delivering a high-quality MBA in Business Analytics program that grooms its students into insightful, data-savvy leaders ready to drive business innovation.
Leading the Way in Business Analytics Education
Global Business School & Research Centre was established with the vision to provide exemplary management education to the future leaders of tomorrow. It offers a two-year full-time MBA program approved by AICTE, Government of India, alongside a comprehensive three-year full-time BBA and BCom programs and a doctoral program in management.
The MBA in Business Analytics at GBSRC is distinct for its pioneering integration of artificial intelligence and cutting-edge technologies, coupled with a curriculum closely aligned with industry requirements. Among the few in India to offer an AI-embedded MBA, the program interlaces AI concepts such as machine learning, natural language processing, and AI-driven business strategies throughout its coursework.
The curriculum emphasizes hands-on training with leading industry tools including Power BI, Tableau, Python, R, SQL, and RapidMiner. Students have access to cloud-based platforms and sandbox environments to practice data modeling, visualization, and predictive analytics. Plans are underway to integrate advanced solutions such as NVivo for qualitative research and AI copilots to boost productivity. Developed collaboratively with industry professionals, the program highlights competencies that employers seek, including business storytelling, ethical data handling, AI governance, and leadership through data-driven insights. Regular hackathons, data competitions, and simulation exercises enhance practical decision-making skills under real-world conditions. Under faculty mentorship, learners are encouraged to publish research focused on analytics. GBSRC also fosters cross-disciplinary studies, particularly in healthcare analytics, social media intelligence, and digital transformation for MSMEs.
Multidisciplinary Minds, One Vision
The core faculty at Global Business School & Research Centre hold Ph.D. qualifications in diverse fields such as Business Analytics, Data Science, AI, Econometrics, and Management. Many bring valuable industry experience in analytics roles and actively contribute to academic advancement through publications in Scopus and Web of Science indexed journals. Several educators possess certifications in data analytics and artificial intelligence from esteemed organizations including IBM, Google, IIMs, and Coursera-affiliated platforms. This multidisciplinary team combines expertise from management, computer science, statistics, behavioral science, and operations to effectively teach analytics within a business framework.
The institute also engages industry leaders from top consulting, analytics, fintech, and healthcare firms to deliver guest lectures, masterclasses, capstone project guidance, and live case discussions. Companies like TCS, Accenture, Fractal Analytics, ZS Associates, and Infosys regularly conduct sessions to ensure students stay updated with contemporary industry scenarios. Final-year students benefit from dedicated industry mentors who assist in applying analytics to solve real business challenges. Additionally, a robust network of corporate and alumni mentors supports skill enhancement, portfolio development, and interview preparation.
Launching Data Careers, One Success Story at a Time
The MBA in Business Analytics specialization at Global Business School & Research Centre (GBSRC) boasts a strong and steadily growing placement record, underscoring the rising demand for data-savvy professionals across industries. Graduates consistently secure diverse roles in analytics and data-driven decision-making.
Placement highlights include an average salary range of ₹6.5 to ₹7.2 lakh per annum, with the highest package reaching ₹12.4 lakh. Median compensation stands around ₹6 lakh.
Roles offered vary broadly, encompassing Data Analyst, Business Intelligence Developer, Marketing Analytics Specialist, Financial Data Analyst, HR Analytics Executive, Data Visualization Consultant, Product Analyst, Customer Insights Executive, and Junior Data Scientist for technically skilled candidates. The institute’s graduates have been recruited by leading firms including Fractal Analytics, ZS Associates, Infosys Analytics, TCS iON, Deloitte India, ICICI Lombard, Mu Sigma, and eClerx, among others.
Alumni from GBSRC have excelled across varied industries such as consulting, fintech, healthcare, and retail analytics, showcasing the program’s wide-reaching impact. Distinguished graduates include Ms. Athira Nair, a Senior Consumer and Market Insights Analyst at Capgemini known for translating complex data into strategic market actions; Ms. Sonam Bharne, who drives intelligent solutions as a Business & Integration Architecture Specialist at Accenture; and Mr. Kedar Joshi, a skilled Business Analyst at Synechron Technologies bridging business needs with technical solutions. Their diverse achievements reflect the deep industry relevance and transformative learning that the MBA in Business Analytics at GBSRC offers, preparing graduates to lead and innovate in this competitive landscape of data-driven business environments.
