Masters of Science (Fin Tech)
Overview
Over the span of two years, our curriculum is designed to immerse students in Quantitative Finance, covering entrepreneurial finance, data analytics, and the transformative realm of FinTech. Students will gain insights into the structure of FinTech applications, exploring the technology stack and the critical information layer driving financial innovation. They will develop proficiency in data-driven financial analysis, harnessing Artificial Intelligence and Machine Learning for predictive insights and visualization. Additionally, students will explore the disruptive potential of AI and Robotics Process Automation in FinTech operations. Advanced concepts in Blockchain technology will be introduced, focusing on its applications in Cryptocurrencies like Ethereum.
Educational
Objectives
Comprehensive Understanding of FinTech: The program aims to provide students with a deep understanding of FinTech innovations, including blockchain, AI-driven analytics, and digital payment systems. Through rigorous coursework and practical applications, students will gain insights into the underlying principles and technologies shaping the future of finance.
Proficiency in Financial Analysis and Technology Integration: Students will develop proficiency in data-driven financial analysis, leveraging advanced tools and techniques such as Artificial Intelligence and Machine Learning. They will learn to integrate technological solutions into financial operations, enabling them to optimize processes, enhance decision-making, and drive innovation within financial institutions.
Innovation and Entrepreneurship in FinTech: The program aims to foster an entrepreneurial mindset among students, encouraging them to identify opportunities for innovation and disruption within the FinTech ecosystem. Through experiential learning and industry collaborations, students will be equipped to conceptualize, develop, and launch innovative FinTech solutions that address market needs and drive sustainable growth.
By achieving these educational objectives, graduates of the M.Sc. FinTech program will be well-positioned to lead and shape the future of finance, driving innovation, growth, and inclusion within the dynamic realm of FinTech.
Eligibility Criteria
Resident Indian | ||
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A candidate shall have passed the qualifying examination BCA/Bachelor Degree in Computer Science, Engineering or Equivalent Degree OR passed BSc / BCom / BA with Mathematics or Business Mathematics or Statistics at (10+2) level or at Graduation level (With Additional bridge courses as per norms of Concerned University) from recognized institutes / universities with 50% marks (45% in case of SC/ST category). |
For NRI | ||
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A candidate shall have passed the qualifying examination BCA/Bachelor Degree in Computer Science, Engineering or Equivalent Degree OR passed BSc / BCom / BA with Mathematics or Business Mathematics or Statistics at (10+2) level or at Graduation level (With Additional bridge courses as per norms of Concerned University) from recognized institutes / universities with 50% marks (45% in case of SC/ST category). |
Eligibility Criteria
For Indian and International Students | ||
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A candidate shall have passed the qualifying examination of B.C.A./ B.Sc. (Computer Science)/ B.Sc. (IT) / B.E. (CSE)/ B.Tech.(CSE) / B.E. (IT) / B.Tech. (IT) or equivalent Degree or passed any graduation degree (e.g.: B.E. / B.Tech. / B.Sc / B.Com. / B.A./B.Voc./ etc.,) |
Admission Process
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Admission
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path to DISCOVER
yourself
Duration and Fees Structure
For Indian | ||
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MCA | 2 Years | ₹50000/- (Per Sem) |
For International Student (USD) | ||
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MCA | 2 Years | 1600/- (Annual) |
Career Opportunities
Data Scientist in Finance: Leveraging advanced data analytics and machine learning techniques to extract actionable insights from financial data, informing strategic decision-making and driving business growth.
Blockchain Solutions Architect: Designing and implementing blockchain-based solutions for financial applications, ensuring security, transparency, and efficiency in transactions and data management.
Financial Technology Consultant: Providing strategic guidance and advisory services to organizations seeking to leverage FinTech solutions to optimize operations, enhance customer experiences, and achieve competitive advantage.
Digital Banking Specialist: Driving digital transformation initiatives within banking institutions, designing and implementing digital banking platforms and services to enhance customer engagement and satisfaction.
Cryptocurrency Analyst/Trader: Analyzing Cryptocurrency markets and trends, executing trades and managing portfolios to capitalize on market opportunities and generate returns for investors.
Financial Technology Entrepreneur: Pursuing entrepreneurial ventures in the FinTech space, developing and launching innovative products or services to address unmet needs and disrupt traditional financial paradigms.
Career Options
Data Engineer
Data Scientist
Data Analyst
Database Administrator
Data Architect
Business Intelligence Analyst
Student Outcomes
Students with in-depth knowledge of system designing, processing of data, web designing, web solution, web hosting, data mining, software development, computer networks and ERP.
Making students, skilled professionals
Ability to operate the software and use their features to the fullest so that organisations that are employing them can achieve better outcomes.
Programme Specific Outcomes
Students will possess advanced skills in data analytics, enabling them to extract actionable insights from vast financial datasets using advanced statistical and machine learning techniques. They will be adept at utilizing data-driven approaches to inform strategic decision-making and optimize financial processes.
Students will demonstrate leadership capabilities in integrating FinTech solutions within organizational frameworks. They will be equipped to assess organizational needs, develop implementation strategies, and lead cross-functional teams to ensure seamless deployment and integration of FinTech solutions.
Students will specialize in blockchain technology and its applications in the financial sector. They will have a deep understanding of Cryptocurrency markets, smart contracts, and decentralized finance (DeFi), enabling them to capitalize on emerging opportunities and contribute to the advancement of blockchain-based financial solutions.
Program Specific Outcomes
Ability to demonstrate an understanding of various analysis tools and software used in data science
Construct use case based models for various domains for greater perspective.
Develop problem solving approach and present output with effective presentation and communication skills.
Curriculum
Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
05MC0101 | Data structure using C | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0102 | Web application development using PHP | Core | 0 | 4 | 0 | 2 | 0 | 0 | 0 | 25 | 25 | 50 |
05MC0103 | Object oriented programming using Java | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0104 | Operating Systems | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0105 | Relational Database Management Systems | Core | 2 | 4 | 0 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0106 | MOOC – HTML / CSS / JS | Ability Enhancement | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
05YO0101 | Yoga | Physical Education (Tertiary) | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Total | 12 | 20 | 0 | 24 | 650 |
Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
05MC0201 | Computer Networks | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0202 | Python Programming | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0203 | Mobile Programming | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0204 | Mini Project – 1 | Core | 0 | 4 | 0 | 2 | 00 | 00 | 00 | 25 | 25 | 50 |
05MC020x | Elective -1 | Core | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 25 | 25 | 50 |
05MC0209 | MOOC – Node / Angular / Express / React JS | Ability Enhancement | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
05SL0205 | Communication Skills | Physical Education (Tertiary) | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Total | 10 | 20 | 2 | 24 | 550 |
List of electives – I
1) 05MC0205 – NoSQL Databases
2) 05MC0206 – Image Processing
3) 05MC0207 – Data Analytics and Visualization
4) 05MC0208 – C#.Net
Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
05MC0301 | Software Engineering | Core | 4 | 0 | 1 | 5 | 50 | 30 | 20 | 0 | 0 | 100 |
05MC0302 | Cryptography | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0303 | Artificial Intelligence | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 0 | 0 | 100 |
05MC0304 | Mini Project – 2 (Previous semester electives) | Core | 0 | 4 | 0 | 2 | 00 | 00 | 00 | 25 | 25 | 50 |
05MC030X | Elective – 2 | Core | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 25 | 25 | 50 |
05MC0309 | MOOC – Cloud Computing | Ability Enhancement | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
05CE0301 | Corporate Etiquettes | Ability Enhancement | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Total | 12 | 14 | 3 | 24 | 500 |
List of electives – II
1) 05MC0305 – Big Data Tools
2) 05MC0306 – Machine Vision
3) 05MC0307 – Machine Learning
4) 05MC0308 – ASP.Net
Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
05MC0401 | Industry Defined Project (Internship) | Core | 0 | 36 | 0 | 18 | 0 | 0 | 0 | 250 | 50 | 300 |
Total | 0 | 36 | 0 | 300 |
Core Courses
Serial No. | Course name |
1 | Data Structure using C |
2 | Web App Development using PHP |
3 | Object Oriented Programming using Java |
4 | Operating systems |
5 | RDBMS |
6 | Computer Networks |
7 | Python |
8 | Mobile Programming |
9 | Software Engineering |
10 | Cryptography |
11 | Artificial Intelligence |
Elective Courses
Serial No. | Course name |
1 | NoSQL Databases |
2 | Image Processing |
3 | Data Analytics and Visualizationg |
4 | C# dot net |
5 | Big Data Tools |
6 | Machine Vision |
7 | Machine Learning |
8 | ASP dot net |
Career Opportunities
Data Engineer Data Scientist Data Analyst Database Administrator Data Architect
Business Intelligence Analyst
Facilities
Lab
Specialized IoS lab for iPhone Application Development with 2.4 GHZ dual core Intel Core i5 processor with 8 GB RAM and 1 TB (5400 RPM) Hard Disks.
Specialized lab for Big Data Analytics and Cyber Security.
Library
Fully equipped with RFID (Radio Frequency Identification Device) Technology
Specially devised and designed Self KIOSK for Self Check in & Check out
E-Resource Lab having 60+ computer systems with latest configuration to assist for online research and resources
Specially devised and designed Mobile Application having features of; Intimation, Alerts, History, Account Status and Books search facilities
Connected with other libraries and resource centers to retrieve information resources worldwide Separate Study rooms and discussion rooms
Additional Transportation facility for special Late Evening & Sunday for Library users
More than 50000 books in the library
Scholarship
Campus Facilities
Impressive Infrastructure
IT Enabled Infrastructure
Sports Infrastructure
State-of-the-art Classrooms
Hostels with Gymnasium
Library with 50000+ Books
Academic & Cultural Events
Best Placement
Industry Associations
Dean's Message
Dr. R Sridaran (PhD)
Dean Faculty of Computer Applications
“Education is the passport to the future, for tomorrow belongs to those who prepare for it today” – Malcolm X
Successful
Alumni
Faculties
Awards & Recognition
Student Credit Systems
Sports Day
MU Fest
Career Guidance Seminars
Marwadi Got Talent
Cyber Safe Abhiyan
7 Full time PhD guides are available in the department to enhance research activities under the sub domains of Computer Networks, Cloud Computing Security, Machine Vision, AI & ML and IoT. A special lab for research in Machine Vision is established with necessary peripherals and softwares. There are 26 Research Scholars currently active in full time/part time research.
The students of MCA have to undergo a 4 months Industry Internship Programme as a part of their curriculum in the last semester which will be evaluated jointly by the industry and academia experts.
FAQ
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