Executive-Friendly Program | High Impact Format | Round 1 Applications closing on 29th Feb
Class Start - July 2024
* Selection test differs for every programme
e-Masters in Data Science and Business Analytics program offers working professionals the opportunity to earn a masters degree in data science and business analytics online. This program combines the latest advancements in data science with the practical applications of business analytics, providing professionals with a comprehensive understanding of the field. The program is designed to help professionals develop the skills and knowledge needed to make data-driven decisions and solve complex business problems. The curriculum covers a wide range of topics, including data mining, machine learning, statistical modeling, big data, and more.
The Masters in Data Science and Business Analytics program is an ideal choice for individuals looking to advance their careers in this rapidly growing field. Graduates will be equipped with the skills and knowledge needed to make an impact in a variety of industries, including technology, finance, healthcare, marketing, and more. With a flexible online format, students can pursue their masters degree in data science and business analytics while balancing work and other commitments.
Empower Your Career with IIT Kanpur Masters in Data Science and Business Analytics: Learn from Our Expert Faculty Group of Cutting-Edge Researchers from Various Departments, Including Economic Sciences, Department of Management Sciences (DoMS), Mathematics, and Computer Science & Engineering.
A well-researched real-world curriculum by IIT Kanpur’s subject matter experts that fosters hands-on learning and helps you master the desired capabilities by combining deep formal rigour and an intensely practical approach.
eMasters in Data Science and Business Analytics consist of Core (C), Specialization (S), and Electives (E) and Domain Electives (D) modules and Projects (P). Participants are given flexibility in deciding on electives and projects and follow the following structure. 3 Core Modules + 3 Modules from a basket of 5 Advanced Electives + 4 Modules from a basket of 5 Domain Electives + 2 Projects (1 project+1 elective)
Application fee ₹1500 (to be paid during application submission)
Fee structure for candidates opting to complete the program in 1 year.
To be paid within 1 week of selection
To be paid to complete enrollment
To be paid at the beginning of every quarter based on no. of modules selected
(Total 12 Modules)
₹45,000 per module
To be paid at the beginning of every quarter
₹15,000 per quarter
*For every additional quarter, fees of Rs 15,000 will be applicable.
Candidates opting to complete the program in 5 quarters need to pay an additional fee of ₹15,000
Candidates opting to complete the program in 11 quarters need to pay an additional fee of ₹1,05,000
All other fees remain the same.
Fees paid are non-refundable (after a certain time period) and non-transferable.
Established in 1959 by the Government of India, Indian Institute of Technology Kanpur (IIT Kanpur) is a globally acclaimed university for world-class education and research in science, engineering, management and humanities. We aim to provide leadership in technological innovation for the growth of India.
The eMasters Program by IIT Kanpur will be delivered on iPearl.ai, a State-of-the-Art digital learning platform, powered by TalentSprint. iPearl.ai, highly rated for its user experience, is a direct-to-device platform that works seamlessly on any internet-connected device and provides a single-sign on experience for all your learning needs including recorded videos, reading material, live interactive sessions, assignments, quizzes, discussion forums, virtual lounges and more.
The curriculum for eMasters in Data Science and Business Analytics comprises Core (C), Advanced Electives, Domain Electives (E) modules, and Projects (P). Participants are given flexibility in deciding on electives and projects and follow the structure of 3 Core Modules + 3 Modules from a basket of 5 Advanced Electives + 4 Modules from a basket of 5 Domain Electives + 2 Projects (1 project+1 elective)