MBA in Business Analytics
Program
Overview
The MBA in Business Analytics is a 2-year full-time postgraduate programme designed for students seeking to build careers in data science, predictive modelling, business intelligence, and strategic decision-making across industries.
Offered by the Vijay Patil School of Management, this programme integrates a rigorous foundation in management with deep specialisation in data-driven analytics and advanced technology tools.
The programme covers:
- Business statistics, data mining, and predictive analytics
- Machine learning, AI applications, and model development
- Business intelligence tools: Tableau, Power BI, and Python
- Big Data technologies: Hadoop, Spark, and cloud platforms
- SQL, NoSQL databases, and data warehousing
- Financial analytics, marketing analytics, and supply chain analytics
- Decision science, optimisation, and simulation modelling
- Data storytelling, visualisation techniques, and executive reporting
- Strategic analytics, consulting frameworks, and industry applications
Program
Differentiator
- Industry-integrated curriculum developed with top data-driven enterprises
- Global exposure through international case studies and cross-border analytics projects
- Strong alumni and industry network providing mentorship, live project opportunities, and placement support
- Practitioner-led faculty with hands-on experience in analytics and data science
- Dedicated analytics lab with industry-grade software and tools
| Programme Details | |||
| Duration | 2 Years Full Time | Fees (2026-27) | INR 9,50,000/- per year |
| Accreditation | NAAC A++ | AICTE Approved | Schedule | Monday to Saturday
|
| Internship | 8 Credits | 8-12 weeks | Placement | 100% Placement Assistance |
| Certifications | Harvard & Other Reputed Institutions | Total Credits | 102 Credits | 72 Core Credits |
Eligibility
To be admitted to the MBA in Business Analytics at DY Patil University, candidates must meet the following criteria:
- A bachelor’s degree in any discipline from a recognized university with a minimum of 50% marks at the graduation level.
- Cumulative score of Graduation marks, Entrance exam*, Aptitude test & Personal Interview
*Entrance exam scores are optional but recommended to enhance your application
Note: The admission of foreign nationals and NRIs shall be based on the prescribed academic qualification as evaluated by the Internal Admission Cell.
Program
Outcomes
| PO1 | Build a strong foundation in business analytics, data science, and statistical modelling applicable across industries and business functions. |
| PO2 | Gain hands-on proficiency in analytics tools such as Python, R, Tableau, Power BI, and SQL to support data-driven decision-making in modern organisations. |
| PO3 | Develop the ability to design end-to-end analytics solutions including data collection, processing, modelling, and visualization for business insights. |
| PO4 | Cultivate critical thinking, problem-solving, and communication skills to translate complex data findings into actionable business strategies. |
| PO5 | Graduate industry-ready for high-demand roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, Analytics Consultant, and Strategy Analyst across BFSI, IT, FMCG, E-commerce, and healthcare sectors. |
Placement
Opportunities
The MBA in Business Analytics offers 100% placement assistance through VPSM’s dedicated placement cell. Students receive structured support including analytics-focused interview preparation, resume development, industry mentoring, and access to opportunities across consulting and technology-driven organisations.
Graduates can explore roles across:
| Career Role | Career Role |
| Data Analyst | Business Intelligence Analyst |
| Data Scientist | Analytics Consultant |
| Marketing Analytics Manager | Financial Analytics Specialist |
| Supply Chain Analytics Lead | Product Analyst |
| HR Analytics Specialist | Strategy & Insights Manager |
| AI/ML Engineer | Corporate Decision Analyst |
Why Choose DY Patil University for MBA in Finance Management ?
- NAAC A++ accredited institution with AICTE approval
- Programme structured around analytics applications in business
- Exposure to tools, data interpretation, and reporting methods
- Certifications from Harvard and other reputed institutions
- Practical learning through projects and industry interaction
- 100% placement assistance across analytics and consulting domains
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