Master of Computer Applications.

Duration
2 Years Full-Time Program
Eligibility

Passed any graduation degree (e.g.: B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA etc.,) preferably with Mathematics at 10+2 level or at Graduation level Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.

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Master of Computer Applications.

Programme Overview

MCA Advanced FinTech Systems & Financial AI is an advanced postgraduate programme that integrates Computer Applications, Financial Technology, Artificial Intelligence, and Data-Driven Financial Systems to prepare students for the rapidly evolving FinTech industry. The programme focuses on applying advanced computing and AI techniques to develop intelligent, scalable, and secure solutions for modern financial services.

The curriculum builds advanced expertise in software development, data analytics, artificial intelligence, machine learning, financial technologies, digital payments, financial modelling, and intelligent automation. Students develop the ability to apply computational techniques to financial data and build technology solutions for areas such as digital banking, investment analytics, risk management, fraud detection, financial automation, and personalized financial services.

The programme emphasizes advanced, hands-on and industry-oriented learning through specialized coursework, a virtual internship, mini projects, hackathons, and a 12-credit capstone project. Students gain practical experience in designing, developing, integrating, and deploying AI-enabled FinTech systems while addressing real-world financial challenges.

With industry mentorship, an industry-designed curriculum, joint certification, LMS-based learning resources, and up to three interview opportunities, the programme provides a strong pathway for advanced professional development. Graduates can pursue careers in Financial AI, FinTech Engineering, AI/ML, Financial Data Analytics, Digital Banking, Fraud Detection, Intelligent Financial Automation, and FinTech Product Development, as well as opportunities in research, higher education, and entrepreneurship.

Course Curriculum

  • 01English for Employability
  • 02Probability and Statistics
  • 03Computer Networks and Security
  • 04Data Structures and Algorithms
  • 05Database Systems
  • 06Web Technology
  • 07Advanced Python Programming
  • 08Data Structures and Algorithms Lab
  • 09Database Systems Lab
  • 10C PROGRAMMING AND DATA STRUCTURES
  • 11Fundamentals of Information Technology
  • 01Cloud Computing
  • 02Object Oriented Programming using Java
  • 03Adaptive Software Engineering
  • 04Machine Learning
  • 05Applied AI in Financial Risk & Credit Modelling
  • 06Quantitative skills and logical reasoning
  • 07Problem Solving through Aptitude
  • 08Smart Contract Engineering & Decentralized Finance (DeFi)
  • 09Cloud Computing Lab
  • 10Object Oriented Programming using Java Lab
  • 11Machine Learning Lab
  • 01Data Analytics and Visualization
  • 02MERN Full Stack Development
  • 03Advanced FinTech Cybersecurity & Compliance Architecture
  • 04Portfolio Optimization & Robo-Advisory Algorithms
  • 05RegTech Systems, Fraud Analytics & Compliance Automation
  • 06Introduction to Operation Research
  • 07Corporate Communications
  • 08Data Analytics and Visualization Lab
  • 09MERN Full Stack Development
  • 10Mobile Application Development using Flutter
  • 11Mini Project
  • 01Open Elective
  • 02Major Project

Programme Educational Objectives

After two years of successful completion of the program, the graduates shall be:

PEO 01: To apply software engineering concepts and practices to design, develop, test, and maintain software systems that meet user requirements and industry standards.

PEO 02: To communicate technical information effectively to diverse audiences, both verbally and in writing, facilitating clear and concise interaction within project teams and with stakeholders.

PEO 03: To engage in quality research and lifelong learning, keeping up with global emerging technologies and industry trends to adapt to evolving demands in the field of computer science.

Programme Outcomes (POs)

On successful completion of the Program, the students shall be able to:

PO 1: Computational Knowledge: Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.

PO 2: Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

PO 3: Design /Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

PO 4: Conduct investigations of complex Computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO 5: Modern Tool Usage: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.

PO 6: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.

PO 7: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

PO 8: Project management and finance: Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO 9: Communication Efficacy: Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.

PO 10: Societal and Environmental Concern: Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practices.

PO 11: Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.

PO 12: Innovation and Entrepreneurship: Identify a timely opportunity and use innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

Programme Specific Outcomes

On successful completion of the Program, the students shall be able to:

PSO 1: Design, develop, test and maintain desktop, web, mobile and cross-platform software applications using modern tools, technologies, skills and computing models.

PSO 2: Solve real-world computing problems of various industries by empathizing and applying the principles of Software Engineering, Mathematics and other associated disciplines to meet stockholder’s business objectives.

PSO 3: Conduct research, explore emerging technologies, and contribute to the field of computer applications through innovative solutions, research papers and projects.

Student handbook

Program Regulations

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USPs

  • 32-Credit Industry-Integrated Learning through 5 advanced courses, internship, mini projects/hackathons, and capstone project.
  • Paytm Virtual Internship providing practical exposure to real-world FinTech systems.
  • 5-Credit Mini Projects & Hackathons focused on advanced FinTech and Financial AI applications.
  • 12-Credit Capstone Project for developing industry-oriented FinTech and AI solutions.
  • Up to 3 Interview Opportunities to strengthen career readiness and industry connections.
  • Industry Mentorship & Joint Certification to enhance advanced technical and professional skills.
  • Industry-Designed Curriculum with LMS Access and comprehensive digital learning resources.

Career Opportunities

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