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Financial Management

Overview

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PO,PSO

Financial Management

Fees

Financial Management

Labs

Financial Management

Career

MBA – Fintech & Data Analytics


The MBA in Fintech & Data Analytics is an industry-focused postgraduate program designed to build expertise in financial technology, banking operations, business analytics, and data-driven decision making. This program integrates finance, technology, and analytics to prepare students for modern financial ecosystems, digital banking, fintech innovation, and enterprise-level analytical solutions.

Why Choose MBA – Fintech & Data Analytics?

  • Advanced Industry-Oriented Curriculum
  • Strong focus on fintech innovation and digital banking systems.
  • Integration of analytics, business intelligence, and financial technologies.
  • Real-world business case studies and financial applications
  • Specialized Skill Advantage

Students gain expertise in:

  • Banking Assets & Liabilities Management
  • Data Visualization & Reporting
  • Python Programming for Analytics
  • Python Libraries for Data Science & Financial Analytics
  • Database Management System (DBMS)

Career Opportunities in MBA – Fintech & Data Analytics


Artificial Intelligence

Fintech Analyst

Works at the intersection of finance and technology to analyze digital payment systems, financial products, customer behavior, and fintech platform performance.

Artificial Intelligence

Data Analyst

Collects, cleans, and analyzes data to generate insights, create reports/dashboards, and support business decision-making.

Artificial Intelligence

Banking Operations Analyst

Manages and improves daily banking processes such as transactions, account operations, reconciliations, and customer service workflows

Artificial Intelligence

Risk & Compliance Analyst

Identifies financial, operational, and regulatory risks while ensuring the organization follows legal and compliance standards.

Fee Structure & Eligibility


Programme Sem Year Mode Eligibility Academic Fees
Per Year (INR)
Special Fees
(Incl. Library Fee & Examination Fees)
Per Year (INR)
Fees Per Year
MBA – Fintech & Data Analytics 4 2 Sem Bachelor’s degree in engineering/technology (B.E./B. Tech) in CSE / IT / ECE or related fields.Minimum 50% aggregate marks (45% for reserved categories as per norms). Rs 1,35,000/- Rs 10,000/- Rs 1,45,000/-


Note:
  • Admission Form and Prospectus Rs. 1000/- (One Time).
  • Caution Money Rs. 1000/-
  • Hostel Fees Rs. 1,10,000/- per annum + 5000 (Deposit Rs 5, 000 at the time of Admission only on refundable basis) Minimum 4 Occupancy
  • Transportation Fees as applicable based on Route and Pick Up Point.
  • Uniform Cost Rs. 6000/-

Labs & Classroom


SOCMS Labs & Classrooms
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SOCMS Labs & Classrooms
SOCMS Labs & Classrooms
SOCMS Labs & Classrooms
SOCMS Labs & Classrooms
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SOCMS Labs & Classrooms
SOCMS Labs & Classrooms
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PO,PSO


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Programme Outcome (PO's)


PO1 Apply knowledge of management theories and practices to solve business problems.
PO2 Foster analytical and critical thinking abilities for data-based decision making.
PO3 Develop value-based leadership ability.
PO4 Understand, analyze, and communicate global, economic, legal, and ethical aspects of business.
PO5 Lead themselves and others in the achievement of organizational goals, contributing effectively to a team environment.
PO6 Apply the fundamental knowledge of management sciences to optimally solve complex business problems.

Program Specific Outcomes (PSO's)


PSO1 Inculcate the ability to gain multidisciplinary knowledge through simulated problems, case analysis, projects, and industrial training.
PSO2 Demonstrate the practice of professional ethics and standards for societal and environmental well-being.
PSO3 Apply professional standards, theory, and research to address business problems within specific concentrations.
PSO4 Recognize the need to adapt business practices to the opportunities and challenges of an evolving global environment.
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