Master of Management Studies (M.M.S) Big Data Business Analytics and FinTech Syllabus - Mumbai University 2026

Course objectives

• 1 To introduce foundational concepts and applications of big data and business analytics in finance.
• 2 To equip students with skills to utilize analytical tools and techniques for financial decision-making.
• 3 To develop practical abilities to harness big data for strategic advantage and customer insights in financial services.
• 4 To foster critical understanding of fintech innovations, digital payment systems, and technology-driven financial solutions.
• 5 To cultivate analytical capabilities to evaluate the impact of fintech trends on traditional financial services.

Course outcomes

• CO1: Understand the fundamental concepts and importance of big data and business analytics and FinTech.
• CO2: Analyse big data architectures, tools, and technologies for data processing.
• CO3: Evaluate data analytics techniques, predictive modelling, and machine learning applications and FinTech.
• CO4: Apply big data analytics and FinTech in decision-making and business intelligence.
• CO5: Explore emerging trends and challenges in big data, FinTech, analytics-driven businesses.

Unit 1 CO1, CO2 · 4 hours

Introduction to Big Data and Business Analytics - Basics of big data and Business Analytics its ecosystem. - Data processing frameworks. - Industry trends and challenges.

Unit 2 CO2, CO3, CO4 · 4 hours

Big Data & Data Management - Data collection and pre-processing. - NoSQL databases and data warehousing. - Data visualization techniques. -Predictive and Business analytics concepts and its applications

Unit 3 CO3, CO4, CO5 · 5 hours

Big Data Implementation and Business Analytics - Big data strategy and governance. - Security and privacy in big data, -Real-time processing and streaming Business analytics -Emerging trends and Case Studies of Big Data and Business Analytics

Unit 5 CO1, CO2, CO4, CO5 · 7 hours

Introduction & Applications of Financial Technology, FinTech: Technology enablers - Blockchain Technology Digital Payments FinTech in Banking FinTech in Lending Emerging trend and case studies

Unit 6 CO1, CO2, CO4, CO5 · 7 hours

Introduction & Applications of Financial Technology, FinTech: FinTech in Wealth Management & Capital Markets and Other Types of FinTech – Property, Insurance and across the sectors of the industry with their case studies etc.

Unit 7 CO4, CO5 · 3 hours

Emerging Trends in Business analytics and FinTech with their related case studies

Textbook

• 1 Big Data and Business Analytics by Jay Liebowitz, Pearson Education India
• 2 Big Data Analytics by Seema Acharya & Subhashini Chellappan, Wiley India
• 3 Business Analytics: The Science of Data-Driven Decision Making by U. Dinesh Kumar, Wiley India
• 4 Data Science and Big Data Analytics by EMC Education Services, Wiley India

Reference Books

• 1 Data Analytics by V. P. Jain, Khanna Publishing House
• 2 Business Analytics by Sanjiv Jaggia, Alison Kelly, and R. A. Sharma (Indian adaptation), Cengage India
• 3 Fundamentals of Business Analytics by R. N. Prasad & Seema Acharya, Wiley India
• 4 Business Intelligence and Analytics by Ramesh Sharda, Dursun Delen & Efraim Turban, Pearson India
• 5 Big Data: Concepts, Technology and Architecture by Thomas Erl, Pearson India