Masters in Data Science and Business Analytics - IIT Kanpur
The eMasters in Data Science and Business Analytics program from IIT Kanpur offers working professionals an opportunity to gain advanced expertise in data science and business analytics. This comprehensive program combines theoretical foundations with practical applications, covering essential topics like machine learning, statistical modeling, and data mining. Designed by the Department of Management Sciences, the curriculum enables professionals to make data-driven decisions while maintaining work-life balance. The program provides IIT Kanpur alumni status and valuable networking opportunities.
Instructors:
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Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
1-3 Years
₹ 8,00,000
Overview
IIT Kanpur's eMasters in Data Science and Business Analytics is a cutting-edge program designed for working professionals seeking to advance their careers in the data-driven business world. The program combines rigorous academic training with practical industry applications, delivered through a flexible online format with occasional campus visits.
Why Data Science?
The program stands out for its unique blend of data science and business analytics, taught by leading IIT Kanpur faculty. Students gain both technical expertise and business acumen, with opportunities for networking and career advancement.
What does this course have to offer?
Key Highlights
World-class faculty from IIT Kanpur
Flexible completion timeline (1-3 years)
IIT Kanpur Alumni status
No GATE required
Career advancement support
Who is this programme for?
Working professionals with 2+ years experience
Technology professionals seeking data science expertise
Business analysts looking to upgrade skills
Professionals aiming for leadership roles in analytics
Minimum Eligibility
Graduate in any discipline from recognized university with minimum "satisfactory" or Grade C equivalent
One year work experience required after degree completion
Who is the programme for?
The admission process involves application review, selection test, and interview. Academic requirements include a bachelor's degree with 55% marks and mathematics background. The program follows a credit-based system with flexibility in completion time.
Selection process
How to apply?
Curriculum
The curriculum comprises 12 modules including core subjects and electives. Core modules cover statistical foundations, data mining, and modeling. Electives span specialized areas like marketing analytics, financial analytics, and machine learning.
There are 2 semesters in this course
The program delivers a comprehensive curriculum through a blend of core and elective modules. Students must complete 3 core modules and 9 electives, including options in specialized domains like marketing, finance, and supply chain analytics. The curriculum emphasizes both theoretical understanding and practical applications.
Core Module
Elective Modules
Programme Length
1-3 years with flexible completion options
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Associate Professor in the Department of Computer Science and Engineering
Dr. Arnab Bhattacharya is an Associate Professor in the Department of Computer Science and Engineering at IIT Kanpur. He earned his Ph.D. in Computer Science from the University of California, Santa Barbara. His research expertise spans Databases, Data Mining, and Bioinformatics, focusing on developing innovative techniques for efficient data management and analysis, with applications in computational biology and other domains. Dr. Bhattacharya's work aims to address complex data challenges across diverse fields.
Associate Professor, Department of Management Sciences
Dr. Devlina Chatterjee holds a Ph.D. in Management Studies from IISc Bangalore and dual MS degrees in Agricultural Economics and Agricultural Engineering from Penn State University. Her research focuses on Applied Econometrics, Rural Economics, Empirical Finance, Commodity Markets, and Consumer Behavior. Dr. Chatterjee integrates her multidisciplinary expertise to address economic and behavioral challenges in agriculture, finance, and consumer markets.
Tuition Fee
The total program fee is ₹8,00,000, including registration, admission, module, and quarter fees. Payment can be made in installments, with additional fees for extended duration.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The program utilizes iPearl.ai platform for online learning, combining live interactive sessions with self-paced content. Weekend classes ensure work-life balance, while occasional campus visits provide networking opportunities.
University Experience
Students gain access to IIT Kanpur's renowned campus facilities, research environment, and prestigious alumni network. The program includes opportunities for industry interaction and practical project work.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Established in 1959, IIT Kanpur is a premier public institute of technology spread across 1037 acres in Kanpur, Uttar Pradesh. Originally started in a borrowed building of Harcourt Butler Technological Institute, it was developed under the Kanpur Indo-American Program (KIAP). The institute is renowned for pioneering computer science education in India and maintains excellence in education, research, and technological innovation.
#263
QS world ranking
#5
NIRF overall rank
#4
NIRF engineering rank
Affiliation & Recognition
UGC
AICTE
NAAC
Government of India
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Associate Professor in the Department of Computer Science and Engineering
Dr. Arnab Bhattacharya is an Associate Professor in the Department of Computer Science and Engineering at IIT Kanpur. He earned his Ph.D. in Computer Science from the University of California, Santa Barbara. His research expertise spans Databases, Data Mining, and Bioinformatics, focusing on developing innovative techniques for efficient data management and analysis, with applications in computational biology and other domains. Dr. Bhattacharya's work aims to address complex data challenges across diverse fields.
Associate Professor, Department of Management Sciences
Dr. Devlina Chatterjee holds a Ph.D. in Management Studies from IISc Bangalore and dual MS degrees in Agricultural Economics and Agricultural Engineering from Penn State University. Her research focuses on Applied Econometrics, Rural Economics, Empirical Finance, Commodity Markets, and Consumer Behavior. Dr. Chatterjee integrates her multidisciplinary expertise to address economic and behavioral challenges in agriculture, finance, and consumer markets.
Career services
IIT Kanpur's Career Development Office provides comprehensive placement support to students through industry partnerships and recruitment drives. The institute's strong ties with leading companies across sectors ensure excellent career opportunities for graduates. Students benefit from career counseling, interview preparation, and access to a vast alumni network. The placement process is highly structured, with top companies from technology, consulting, and core engineering sectors regularly participating in campus recruitments.
90%
Placement rate
100+
Industry partnerships
Top Recruiters
Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
1-3 Years
₹ 8,00,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.