MBA - Business Analytics 24 months MBA Programme By GD Goenka University |TopUniversities
Programme Duration

24 monthsProgramme duration

Tuitionfee

943,500 INRTuition Fee/year

Application Deadline

30 Sep, 2025Application Deadline

Main Subject Area

Business AnalyticsMain Subject Area

Programme 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 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.

Programme 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 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

50+

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.

30 Sep 2025
2 Years
Aug

Tuition fees

Domestic
525,000 INR
Domestic (Out of State)
525,000 INR
International
943,500 INR

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

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Frequently Asked Questions

The MBA in Business Analytics program at the School of Management is a comprehensive two-year program designed to provide students with a deep understanding of both business management principles and advanced analytics techniques.
While specific prerequisites may vary, generally, applicants are expected to have a bachelor's degree from a recognized institution, preferably in a related field such as business, economics, engineering, mathematics, or computer science. Additionally, a strong aptitude for quantitative analysis and proficiency in relevant software tools may be required.
Graduates of the MBA in Business Analytics program are equipped with a unique skill set that is highly sought after in today's data-driven business environment. Career opportunities may include roles such as data analyst, business analyst, data scientist, analytics manager, consultant, or strategic planner in a variety of industries including finance, healthcare, retail, technology, and more.
Yes, the MBA in Business Analytics program encourages students to gain practical experience through internships, industry projects, or consulting assignments. These opportunities not only provide valuable real-world experience but also allow students to build professional networks and apply classroom learning to solve real business challenges.
The School of Management offers a range of resources and support services to help students succeed in their career pursuits. This may include career counseling, networking events, workshops on resume writing and interview skills, access to job postings and recruitment fairs, alumni connections, and mentorship programs. Additionally, faculty members with industry experience often provide valuable insights and connections to help students navigate their career paths.
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