MBA in FinTech
offered by Work Integrated Learning Programmes

Private Institute
UGCApproved
Estd. 1979

MBA in FinTech
at
Work Integrated Learning Programmes
Overview

Get rigorous academic training with practical applications and be well-equipped to navigate and shape the future of financial services

Duration	2 years
Total fee	₹2.67 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	PG Degree

MBA in FinTech
at
Work Integrated Learning Programmes
Highlights

Earn a degree after completion of the course
Case studies, projects and assignments for real world exposure
Fee payment can be done in installments
Learn from industry best faculty

MBA in FinTech
at
Work Integrated Learning Programmes
Course details

Skills you will learn

Marketing Financial Management Wealth Management Strategic Management

Who should do this course?

For professionals who wish to advance their career by acquiring skills in the technological, analytical and operational aspects of the FinTech business

Finance Professionals

Technology Specialists

Management and Strategy Executives

What are the course deliverables?

Apply critical thinking skills to solve Business Problems and make sound decisions

Demonstrate empathetic leadership skills in a dynamically changing business world

Effectively apply modern management techniques for the benefit of their firms and society in general

Apply the essential concepts of various technologies and processes to solve problems that are disrupting the financial world

Design and Develop FinTech models using quantitative and analytical techniques

More about this course

The Financial Services industry is currently witnessing a huge transformation driven by innovative technologies such as Blockchain, Artificial Intelligence, Cloud Computing, Internet of Things and Mobile Computing

This program enables the participants to understand, analyse and effectively leverage the emerging financial innovations and become a part of the new Fintech revolution

MBA in FinTech
at
Work Integrated Learning Programmes
Curriculum

Semester 1

Financial and Management Accounting

Managerial Economics

Quantitative Methods

Managing People & Organizations

Semester 2

Marketing

Financial Management

Operations Management

Introduction to FinTech

Semester 3

Financial Analytics

Global Financial Markets and Products

Blockchain and Applications

Strategic Management & Business Policy

Semester 4

Elective 1

Elective 2

Project

Electives

Financial Risk Analytics

Entrepreneurship in FinTech

Machine Learning for Finance

InsurTech

Deep Learning Application in Finance

Technology Disruptions in FinTech

Digital Banking and Beyond

Algorithmic and High Frequency Trading

FinTech in Wealth Management

MBA in FinTech
at
Work Integrated Learning Programmes
Faculty details

Prof. Sandeep Kayastha

Prof. Sandeep Kayastha is an Associate Professor in off-campus programs. He completed his MTech from IIT Kharagpur. Prof Sandeep teaches MBA level courses in Operations Management and allied areas, and conducts Management Development Programs for senior executives in the manufacturing industry.

Prof. Krishnamurthy Bindumadhavan

Prof. Krishnamurthy Bindumadhavan is a Professor and Group Leader of the Management Group, Off Campus Programs at Birla Institute of Technology and Science, Pilani. He is based out of Hyderabad. Prof. Bindumadhavan is a Fellow of IIM, Kashipur (equivalent to PhD), CFA charterholder from CFA Institute, USA and FRM titleholder from GARP, USA.

MBA in FinTech
at
Work Integrated Learning Programmes
Entry Requirements

General

Requirements for 12th grade Up Arrow Icon

N/A
Mandatory Subjects : Maths/Stats

Graduation Up Arrow Icon

60%
Employed professionals holding B.E./ B.Tech./ Integrated First Degree of BITS or its equivalent with at least 60% aggregate marks, and minimum one year relevant work experience after the completion of the degree

or

Employed professionals holding a three year undergraduate degree such as B.Sc./ B.Com./ BCA with at least 60% aggregate marks, and having studied at least one course in mathematics or statistics at the high school or higher level, and with minimum two years of relevant work experience after the completion of the degree
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Work Experience Up Arrow Icon