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MBA - Business Analytics
GD Goenka University, Gurugram, India
24 monthsProgram duration
943,500 INRTuition Fee/year
30 Sep, 2025Application Deadline
Business AnalyticsMain Subject Area
Program overview
Main Subject
Business Analytics
Degree
MBA
Study Level
MBA
Study Mode
On Campus
MBA Fintech (Masters in Business Administration in Fintech) is a rigorous two-year full-time programme in collaboration with NSE (National Stock Exchange) tailored for Post graduates who plan to pursue a career in the Financial Technology, Big...
Read more
MBA Fintech (Masters in Business Administration in Fintech) is a rigorous two-year full-time programme in collaboration with NSE (National Stock Exchange) tailored for Post graduates who plan to pursue a career in the Financial Technology, Big Data Analytics, and Artificial Intelligence areas as well as for those seeking career advancement, especially engineers, mathematicians, computer programmers and undergraduates in business, commerce, and other high-tech professionals. The Program will cover Experiential Learning through industry capstone projects and Mentoring by Industry Professionals to Build expertise in popular machine learning and deep learning techniques. It will help to build skills in problem-solving using various algorithms.
In collaboration with the prestigious National Stock Exchange (NSE), the MBA in Fintech (Masters in Business Administration in Fintech) represents a cutting-edge two-year full-time program tailored for postgraduates aiming to carve a niche in the domains of Financial Technology, Big Data Analytics, and Artificial Intelligence. With a focus on both career initiation and advancement, this program caters to a diverse range of professionals, including engineers, mathematicians, computer programmers, and undergraduates in business, commerce, and other high-tech fields.
The landscape of finance is undergoing a seismic shift, driven by rapid technological advancements and the proliferation of data. As the financial industry embraces innovation, there is an increasing demand for professionals who possess a unique blend of financial acumen and technological expertise. The MBA in Fintech is meticulously designed to bridge this gap, equipping students with the skills and knowledge necessary to thrive in the dynamic intersection of finance and technology.
At the heart of the program lies a commitment to experiential learning, ensuring that students are not only equipped with theoretical knowledge but also gain practical insights through industry capstone projects. Collaborating with leading organizations in the fintech space, students have the opportunity to tackle real-world challenges, applying their learning in a hands-on setting. These industry engagements not only provide valuable experience but also serve as a platform for students to build a professional network and gain exposure to emerging trends in the field.
Mentorship plays a pivotal role in the MBA in Fintech program, with students benefitting from guidance and insights from seasoned industry professionals. Drawing upon their wealth of experience, mentors provide invaluable advice and support, helping students navigate the complexities of the fintech landscape and charting a course for success in their careers. This mentorship model fosters a culture of collaboration and continuous learning, empowering students to stay abreast of the latest developments and trends in the industry.
Central to the curriculum of the MBA in Fintech program is the development of expertise in popular machine learning and deep learning techniques. In an era defined by data abundance, the ability to extract meaningful insights from vast datasets is paramount. Students delve into advanced analytics methods, mastering the art of predictive modeling, data visualization, and algorithmic trading. By leveraging the power of machine learning and deep learning algorithms, students learn to uncover hidden patterns, identify trends, and make informed decisions in the realm of finance.
Moreover, the program emphasizes problem-solving skills, equipping students with a diverse array of algorithms and techniques to address complex challenges in the fintech domain. From risk management to fraud detection, students learn to leverage technology to mitigate risks, optimize processes, and enhance the efficiency of financial operations. Through hands-on projects and case studies, students develop a deep understanding of the intricacies of financial markets and gain the confidence to navigate the uncertainties of the digital age.
In conclusion, the MBA in Fintech represents a transformative journey into the future of finance. By combining financial expertise with technological innovation, the program prepares students to thrive in an increasingly interconnected and data-driven world. With a focus on experiential learning, mentorship, and problem-solving skills, the MBA in Fintech equips students with the tools and knowledge necessary to succeed in a rapidly evolving industry. As the fintech revolution continues to gather momentum, graduates of this program are poised to shape the future of finance and drive innovation in the years to come.
Program overview
Main Subject
Business Analytics
Degree
MBA
Study Level
MBA
Study Mode
On Campus
MBA Fintech (Masters in Business Administration in Fintech) is a rigorous two-year full-time programme in collaboration with NSE (National Stock Exchange) tailored for Post graduates who plan to pursue a career in the Financial Technology, Big...
Read more
MBA Fintech (Masters in Business Administration in Fintech) is a rigorous two-year full-time programme in collaboration with NSE (National Stock Exchange) tailored for Post graduates who plan to pursue a career in the Financial Technology, Big Data Analytics, and Artificial Intelligence areas as well as for those seeking career advancement, especially engineers, mathematicians, computer programmers and undergraduates in business, commerce, and other high-tech professionals. The Program will cover Experiential Learning through industry capstone projects and Mentoring by Industry Professionals to Build expertise in popular machine learning and deep learning techniques. It will help to build skills in problem-solving using various algorithms.
In collaboration with the prestigious National Stock Exchange (NSE), the MBA in Fintech (Masters in Business Administration in Fintech) represents a cutting-edge two-year full-time program tailored for postgraduates aiming to carve a niche in the domains of Financial Technology, Big Data Analytics, and Artificial Intelligence. With a focus on both career initiation and advancement, this program caters to a diverse range of professionals, including engineers, mathematicians, computer programmers, and undergraduates in business, commerce, and other high-tech fields.
The landscape of finance is undergoing a seismic shift, driven by rapid technological advancements and the proliferation of data. As the financial industry embraces innovation, there is an increasing demand for professionals who possess a unique blend of financial acumen and technological expertise. The MBA in Fintech is meticulously designed to bridge this gap, equipping students with the skills and knowledge necessary to thrive in the dynamic intersection of finance and technology.
At the heart of the program lies a commitment to experiential learning, ensuring that students are not only equipped with theoretical knowledge but also gain practical insights through industry capstone projects. Collaborating with leading organizations in the fintech space, students have the opportunity to tackle real-world challenges, applying their learning in a hands-on setting. These industry engagements not only provide valuable experience but also serve as a platform for students to build a professional network and gain exposure to emerging trends in the field.
Mentorship plays a pivotal role in the MBA in Fintech program, with students benefitting from guidance and insights from seasoned industry professionals. Drawing upon their wealth of experience, mentors provide invaluable advice and support, helping students navigate the complexities of the fintech landscape and charting a course for success in their careers. This mentorship model fosters a culture of collaboration and continuous learning, empowering students to stay abreast of the latest developments and trends in the industry.
Central to the curriculum of the MBA in Fintech program is the development of expertise in popular machine learning and deep learning techniques. In an era defined by data abundance, the ability to extract meaningful insights from vast datasets is paramount. Students delve into advanced analytics methods, mastering the art of predictive modeling, data visualization, and algorithmic trading. By leveraging the power of machine learning and deep learning algorithms, students learn to uncover hidden patterns, identify trends, and make informed decisions in the realm of finance.
Moreover, the program emphasizes problem-solving skills, equipping students with a diverse array of algorithms and techniques to address complex challenges in the fintech domain. From risk management to fraud detection, students learn to leverage technology to mitigate risks, optimize processes, and enhance the efficiency of financial operations. Through hands-on projects and case studies, students develop a deep understanding of the intricacies of financial markets and gain the confidence to navigate the uncertainties of the digital age.
In conclusion, the MBA in Fintech represents a transformative journey into the future of finance. By combining financial expertise with technological innovation, the program prepares students to thrive in an increasingly interconnected and data-driven world. With a focus on experiential learning, mentorship, and problem-solving skills, the MBA in Fintech equips students with the tools and knowledge necessary to succeed in a rapidly evolving industry. As the fintech revolution continues to gather momentum, graduates of this program are poised to shape the future of finance and drive innovation in the years to come.
Admission Requirements
An applicant should have passed class XII or equivalent (10+2) from a recognized Board (CBSE/ICSE/IB or any other) from any stream and graduated from a recognized institution with minimum of 50% marks.
In addition to marks in the qualifying examinations, admission will be based on performance in CAT/MAT/GMAT scores or the G.D Goenka Aptitude Test followed by a personal interview.
Tuition fees
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