Welcome to the DSBA Program

An Online M.Tech. Program for Working Professionals and Future Leaders

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About the DSBA Program

The Data Science and Business Analytics (DSBA) is an online Masters’ program offered by the Departments of Computational and Data Science and Management Studies at IISc. This program is designed for working professionals to earn a full-fledged M.Tech. Degree from IISc, the top university in India, through an online instruction format that is on par with the residential M.Tech. program. Students have the flexibility of completing 8-10 courses and a capstone project over a 2-4 year period to earn their degree. All courses are taught by full-time faculty at IISc, renowned for their world-class research and development, which permeates into the lectures and practical sessions. A unique feature of the program is its blend of data science concepts both from a technology and a business perspective, that helps to train future technology leaders in data and AI driven industries.

Unlike other programs, admission to the online M.Tech. program at IISc is through a partnership with your parent company (sponsoring institution) and IISc. Applicants from the company are nominated and go through an admissions interview at IISc that evaluates their ability to be successful in the program. For more details, see the Admissions section.

Program Features


Future-proof your Career

A Masters' degree from IISc prepares you for future leadership, and even a subsequent Ph.D.


Upskill on AI/ML Methods, Technology & Business Domains

Learn cutting edge data science methods and data engineering at scale, with application to diverse business domains


Blends Theory with Practice

Establish rigorous foundations coupled with hands-on practical applications


Capstone Project in your Industry

Validate your learning through a Capstone Project relevant to your specific business or technology domain


Learn from the Leaders

Full-time IISc faculty teaching the program are reknown researchers and practitioners


Collaborate with Best-in-Class Peer Group

Our selective admissions through industry nominations and small class sizes allow you to network and collaborate with peers


Work-Life-Study Balance

The self-paced study offers 3 years for completion, with additional break in study for business and life events


Sponsored by your Company

Admissions are through nomination by your parent company and fees are paid by them too. Be rewarded for being an out-performer!

Program Structure

Students admitted to the M.Tech.(Online) program on Data Science and Business Analytics need to complete the following requirements within a 2-4 year period to earn their degree. Students must get a passing grade in a course for it to be counted toward their degree. More details are under Program Details and Courses.

Core courses

12 credits

These three courses of 4 credits each have to be mandatorily taken and completed by all students in the program. These are typically taken in the first and second semesters.

  • Introduction to Data Science
  • Data Engineering at Scale
  • Introduction to Computing for AI/ML

Elective courses

20 credits

Students have to complete at least 20 credits of elective courses. Each course typically is for 3-4 credits. See the course details below. These courses can be taken at any time during the program, as long as the student meets its prerequisites. Not all electives are offered in all years, and others may be added over time.

  • Financial Analytics
  • Practical Machine Learning
  • Data Mining
  • Operations Research
  • High-performance Computing in Data Science
  • Deep Learning and Computer Vision

Capstone Project

32 credits

A capstone project for 32 credits has to be completed over two terms, and can be started after completing all the core course requirements. The project topic will be proposed by the student, with relevance to their professional work, and utilizing skills gained during the degree program. A faculty mentor will offer high-level feedback on the project. There will be a midterm evaluation at the end of the first term and a final review after the second term, by a committee appointed by the Program Curriculum Committee (PCC).


The faculty managing the DSBA program and offering courses are drawn from the Division of Interdisciplinary Sciences at IISc, and specifically from the Departments of Computational and Data Science and the Departments of Management Studies. These are the same faculty who teach the other flagship post-graduate courses (M.Tech. in Computational and Data Science, and Master of Management) for full-time students at these departments. The faculty members bring the same world class expertise to the courses offered as part of the DSBA program.

The Program Curriculum Committee (PCC) is responsible for all academic matters of the program. The following are its members.

Associate Professor and Chair, Computational and Data Sciences

Sashikumaar Ganesan

Professor and Chair, Management Studies

Parthasarathy Ramachandran

Associate Professor, Computational and Data Sciences

Yogesh Simmhan

Assistant Professor, Computational and Data Sciences

Deepak Subramani

Assistant Professor, Management Studies

Shashi Jain

Latest posts


Information Session for Potential Candidates

25 Mar, 2021

DSBA program starts the first year with 50+ admissions

1 Aug, 2021

Information Session for Potential Candidates

25 and 28 Feb, 2022


Indian Institute of Science
Data Science and Business Analytics Program, CDS219,
Bangalore 560012 [Map]

+91 (80) 2293 2789